Publications

2024

  1. Article
    D2D6
    “Recent Trends in 3D Reconstruction of General Non-Rigid Scenes,” Computer Graphics Forum (Proc. EUROGRAPHICS 2024), vol. 43.
  2. Article
    D2D6
    “Recent Trends in 3D Reconstruction of General Non-Rigid Scenes,” Computer Graphics Forum (Proc. EUROGRAPHICS 2024), 2024.
  3. Conference paper
    D2
    “OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA.
  4. Conference paper
    D2
    “Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA.
  5. Conference paper
    D2
    “NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA.
  6. Conference paper
    D2
    “X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA.
  7. Conference paper
    D2
    “Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA.
  8. Conference paper
    D2
    “Point Transformer V3: Simpler, Faster, Stronger,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA.
  9. Conference paper
    D2
    “Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA.
  10. Conference paper
    D2
    “GEARS: Local Geometry-aware Hand-object Interaction Synthesis,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA.
  11. Conference paper
    D2
    “CosPGD: An Efficient White-Box Adversarial Attack for Pixel-Wise Prediction Tasks,” in Proceedings of the 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria.
  12. Conference paper
    D2
    “Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive,” in The Twelfth International Conference on Learning Representations (ICLR 2024), Vienna, Austria, 2024.

2023

  1. Conference paper
    D2
    “Class-Incremental Exemplar Compression for Class-Incremental Learning,” in 36th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  2. Conference paper
    D2
    “Differentiable Architecture Search: a One-Shot Method?,” in AutoML Conference 2023, Potsdam/Berlin, Germany, 2023.
  3. Article
    D2
    “A Polyhedral Study of Lifted Multicuts,” Discrete Optimization, vol. 47, 2023.
  4. Conference paper
    D2
    “SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning,” in Eleventh International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda.
  5. Conference paper
    D2
    “Neural Architecture Design and Robustness: A Dataset,” in Eleventh International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda.
  6. Conference paper
    D2
    “FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning,” in Eleventh International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda.
  7. Conference paper
    D2
    “Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  8. Conference paper
    D2
    “HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  9. Conference paper
    D2
    “Federated Incremental Semantic Segmentation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  10. Conference paper
    D2
    “Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation With Implicit Neural Representations,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  11. Conference paper
    D2
    “Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  12. Conference paper
    D2
    “MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  13. Conference paper
    D2
    “A Meta-Learning Approach to Predicting Performance and Data Requirements,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  14. Conference paper
    D2D6
    “Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  15. Conference paper
    D2
    “Continual Detection Transformer for Incremental Object Detection,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  16. Conference paper
    D2
    “Object Pop-Up: Can We Infer 3D Objects and their Poses from Human Interactions Alone?,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  17. Conference paper
    D2
    “DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  18. Conference paper
    D2
    “Virtual Sparse Convolution for Multimodal 3D Object Detection,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  19. Conference paper
    D2
    “Visibility Aware Human-Object Interaction Tracking from Single RGB Camera,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  20. Conference paper
    D2
    “ConQueR: Query Contrast Voxel-DETR for 3D Object Detection,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  21. Conference paper
    D2
    “TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.
  22. Conference paper
    D2
    “SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.
  23. Conference paper
    D2
    “Robustifying Token Attention for Vision Transformers,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.
  24. Conference paper
    D2
    “Studying How to Efficiently and Effectively Guide Models with Explanations,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.
  25. Conference paper
    D2
    “DARTH: Holistic Test-time Adaptation for Multiple Object Tracking,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.
  26. Conference paper
    D2
    “In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.
  27. Conference paper
    D2
    “Learning by Sorting: Self-supervised Learning with Group Ordering Constraints,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.
  28. Conference paper
    D2
    “UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.
  29. Conference paper
    D2
    “SimNP: Learning Self-Similarity Priors Between Neural Points,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.
  30. Conference paper
    D2
    “NSF: Neural Surface Fields for Human Modeling from Monocular Depth,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.
  31. Conference paper
    D2
    “On the Unreasonable Vulnerability of Transformers for Image Restoration – and an Easy Fix,” in IEEE/CVF International Conference on Computer Vision Workshops (ICCVW 2023), Paris, France, 2023.
  32. Conference paper
    D2
    “Classification Robustness to Common Optical Aberrations,” in IEEE/CVF International Conference on Computer Vision Workshops (ICCVW 2023), Paris, France, 2023.
  33. Conference paper
    D2
    “Test-time Domain Adaptation for Monocular Depth Estimation,” in IEEE International Conference on Robotics and Automation (ICRA 2023), London, UK, 2023.
  34. Conference paper
    D2
    “TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction,” in IEEE International Conference on Robotics and Automation (ICRA 2023), London, UK, 2023.
  35. Article
    D2
    “LayerNet: High-Resolution Semantic 3D Reconstruction of Clothed People,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 2, 2023.
  36. Article
    D2
    “Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 1, 2023.
  37. Article
    D6D4D2
    “A Deeper Look into DeepCap,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 4, 2023.
  38. Article
    D2
    “Higher-Order Multicuts for Geometric Model Fitting and Motion Segmentation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 1, 2023.
  39. Article
    D2
    “Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 3, 2023.
  40. Conference paper
    D2
    “Urban Scene Semantic Segmentation With Low-Cost Coarse Annotation,” in 2023 IEEE Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa Village, HI, USA, 2023.
  41. Conference paper
    D2
    “Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation,” in 2023 IEEE Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa Village, HI, USA, 2023.
  42. Conference paper
    D2
    “Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging,” in 2023 IEEE Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa Village, HI, USA, 2023.
  43. Conference paper
    D2
    “Intra-Source Style Augmentation for Improved Domain Generalization,” in 2023 IEEE Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa Village, HI, USA, 2023.
  44. Article
    D2
    “Revisiting Consistency Regularization for Semi-supervised Learning,” International Journal of Computer Vision, vol. 131, 2023.
  45. Article
    D2
    “Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation,” International Journal of Computer Vision, 2023.
  46. Article
    D2
    “Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization,” International Journal of Computer Vision, 2023.
  47. Article
    D2
    “3D Object Detection for Autonomous Driving: A Comprehensive Survey,” International Journal of Computer Vision, 2023.
  48. Article
    D2
    “Improving Primary-Vertex Reconstruction with a Minimum-Cost Lifted Multicut Graph Partitioning Algorithm,” Journal of Instrumentation, vol. 18, 2023.
  49. Conference paper
    D2
    “Towards Understanding Climate Change Perceptions: A Social Media Dataset,” in NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, New Orleans, LA, USA, 2023.
  50. Article
    D2
    “Learning Comprehensive Global Features in Person Re-identification: Ensuring Discriminativeness of more Local Regions,” Pattern Recognition, vol. 134, 2023.
  51. Conference paper
    D2
    “An Evaluation of Zero-Cost Proxies - From Neural Architecture Performance Prediction to Model Robustness,” in Pattern Recognition (DAGM GCPR 2023), Heidelberg, Germany, 2023.
  52. Conference paper
    D2
    “FullFormer: Generating Shapes Inside Shapes,” in Pattern Recognition (DAGM GCPR 2023), Heidelberg, Germany, 2023.
  53. Conference paper
    D2
    “Online Hyperparameter Optimization for Class-Incremental Learning,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, USA, 2023.
  54. Conference paper
    D2
    “Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, USA, 2023.
  55. Conference paper
    D2
    “ClusterFuG: Clustering Fully connected Graphs by Multicut,” in Proceedings of the 40th International Conference on Machine Learning (ICML 2023), Honolulu, Hawaii, USA, 2023.
  56. Conference paper
    D2
    “Discovering Class-Specific GAN Controls for Semantic Image Synthesis,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2023), Vancouver, Canada, 2023.
  57. Article
    D2
    “Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences,” Transactions of the Association for Computational Linguistics, vol. 11, 2023.
  58. Article
    D2
    “Improving Native CNN Robustness with Filter Frequency Regularization,” Transactions on Machine Learning Research, vol. 2023, 2023.
  59. Conference paper
    D2
    “Implicit Representations for Image Segmentation,” in UniReps: The First Workshop on Unifying Representations in Neural Models, New Orleans, LA, USA, 2022.
  60. Thesis
    D2D6
    “Modelling 3D Humans : Pose, Shape, Clothing and Interactions,” Universität des Saarlandes, Saarbrücken, 2023.
  61. Thesis
    D2
    “Learning from Imperfect Data Incremental Learning and Few-shot Learning,” Universität des Saarlandes, Saarbrücken, 2023.
  62. Thesis
    D2
    “Improving Quality and Controllability in GAN-based Image Synthesis,” Universität des Saarlandes, Saarbrücken, 2023.

2022

  1. Conference paper
    D2
    “Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval,” in 33rd British Machine Vision Conference (BMVC 2022), London, UK, 2022.
  2. Conference paper
    D2
    “Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment,” in 33rd British Machine Vision Conference (BMVC 2022), London, UK, 2022.
  3. Conference paper
    D2
    “SP-ViT: Learning 2D Spatial Priors for Vision Transformers,” in 33rd British Machine Vision Conference (BMVC 2022), London, UK, 2022.
  4. Conference paper
    D2
    “Relational Proxies: Emergent Relationships as Fine-Grained Discriminators,” in Advances in Neural Information Processing Systems 35 (NeurIPS 2022), New Orleans, LA, USA, 2022.
  5. Conference paper
    D2
    “Robust Models are less Over-Confident,” in Advances in Neural Information Processing Systems 35 (NeurIPS 2022), New Orleans, LA, USA, 2022.
  6. Conference paper
    D2
    “Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders,” in Advances in Neural Information Processing Systems 35 (NeurIPS 2022), New Orleans, LA, USA, 2022.
  7. Conference paper
    D2
    “Motion Transformer with Global Intention Localization and Local Movement Refinement,” in Advances in Neural Information Processing Systems 35 (NeurIPS 2022), New Orleans, LA, USA, 2022.
  8. Conference paper
    D2
    “CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds,” in Advances in Neural Information Processing Systems 35 (NeurIPS 2022), New Orleans, LA, USA, 2022.
  9. Conference paper
    D4D2
    “USB: A Unified Semi-supervised Learning Benchmark for Classification,” in Advances in Neural Information Processing Systems 35 (NeurIPS 2022), New Orleans, LA, USA, 2022.
  10. Conference paper
    D2
    “Towards Efficient 3D Object Detection with Knowledge Distillation,” in Advances in Neural Information Processing Systems 35 (NeurIPS 2022), New Orleans, LA, USA, 2022.
  11. Conference paper
    D2
    “Abstracting Sketches Through Simple Primitives,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  12. Conference paper
    D2
    “MPPNet: Multi-frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  13. Conference paper
    D2
    “Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation using Bounding Boxes,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  14. Conference paper
    D2
    “Learned Vertex Descent: A New Direction for 3D Human Model Fitting,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  15. Conference paper
    D2
    “DODA: Data-Oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  16. Conference paper
    D2
    “TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  17. Conference paper
    D2
    “Class-Agnostic Object Counting Robust to Intraclass Diversity,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  18. Conference paper
    D2
    “FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  19. Conference paper
    D2
    “Improving Robustness by Enhancing Weak Subnets,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  20. Conference paper
    D2
    “A Comparative Study of Graph Matching Algorithms in Computer Vision,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  21. Conference paper
    D2
    “HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  22. Conference paper
    D2
    “Skeleton-Free Pose Transfer for Stylized 3D Characters,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  23. Conference paper
    D2
    “CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  24. Conference paper
    D2
    “Learning Where To Look - Generative NAS is Surprisingly Efficient,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  25. Conference paper
    D2
    “Temporal and Cross-modal Attention for Audio-Visual Zero-Shot Learning,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  26. Conference paper
    D6D2D4
    “HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  27. Conference paper
    D2
    “Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  28. Conference paper
    D2
    “CHORE: Contact, Human and Object Reconstruction from a Single RGB Image,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  29. Conference paper
    D2
    “COUCH: Towards Controllable Human-Chair Interactions,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  30. Conference paper
    D2
    “TOCH: Spatio-Temporal Object Correspondence to Hand for Motion Refinement,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  31. Article
    D2
    “Advancing Translational Research in Neuroscience through Multi-task Learning,” Frontiers in Psychiatry, vol. 13, 2022.
  32. Conference paper
    D2
    “Semantic Image Synthesis with Semantically Coupled VQ-Model,” in ICLR Workshop on Deep Generative Models for Highly Structured Data (ICLR 2022 DGM4HSD), Virtual, 2022.
  33. Conference paper
    D2
    “RAMA: A Rapid Multicut Algorithm on GPU,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  34. Conference paper
    D2
    “FastDOG: Fast Discrete Optimization on GPU,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  35. Conference paper
    D2D6
    “BEHAVE: Dataset and Method for Tracking Human Object Interactions,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  36. Conference paper
    D2
    “B-cos Networks: Alignment is All We Need for Interpretability,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  37. Conference paper
    D2
    “Pix2NeRF: Unsupervised Conditional Pi-GAN for Single Image to Neural Radiance Fields Translation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  38. Conference paper
    D2
    “Decoupling Zero-Shot Semantic Segmentation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  39. Conference paper
    D2
    “PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  40. Conference paper
    D2
    “CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  41. Conference paper
    D2
    “Bi-level Alignment for Cross-Domain Crowd Counting,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  42. Conference paper
    D2
    “LiDAR Snowfall Simulation for Robust 3D Object Detection,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  43. Conference paper
    D2
    “DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  44. Conference paper
    D2
    “Large Loss Matters in Weakly Supervised Multi-Label Classification,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  45. Conference paper
    D2
    “Stratified Transformer for 3D Point Cloud Segmentation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  46. Conference paper
    D2
    “Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  47. Conference paper
    D2
    “Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Language,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  48. Conference paper
    D2
    “LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  49. Conference paper
    D4D2
    “Towards Better Understanding Attribution Methods,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  50. Conference paper
    D2
    “A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  51. Conference paper
    D2
    “SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  52. Conference paper
    D2
    “Generalized Few-shot Semantic Segmentation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  53. Conference paper
    D2
    “Scribble-Supervised LiDAR Semantic Segmentation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  54. Conference paper
    D2
    “Sound and Visual Representation Learning with Multiple Pretraining Tasks,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  55. Conference paper
    D2
    “RBGNet: Ray-based Grouping for 3D Object Detection,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  56. Conference paper
    D2
    “Continual Test-Time Domain Adaptation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  57. Conference paper
    D2
    “VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  58. Conference paper
    D2
    “A Unified Query-based Paradigm for Point Cloud Understanding,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  59. Conference paper
    D2
    “Adiabatic Quantum Computing for Multi Object Tracking,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  60. Article
    D2
    “Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform,” IEEE Robotics and Automation Letters, vol. 7, no. 2, 2022.
  61. Article
    D2
    “Improving Depth Estimation Using Map-Based Depth Priors,” IEEE Robotics and Automation Letters, vol. 7, no. 2, 2022.
  62. Article
    D2
    “End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization,” IEEE Robotics and Automation Letters, vol. 7, no. 2, 2022.
  63. Article
    D2
    “Learnable Online Graph Representations for 3D Multi-Object Tracking,” IEEE Robotics and Automation Letters, vol. 7, no. 2, 2022.
  64. Article
    D2
    “Optimising for Interpretability: Convolutional Dynamic Alignment Networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 6, 2022.
  65. Article
    D2
    “Semi-Supervised and Unsupervised Deep Visual Learning: A Survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.
  66. Article
    D2
    “DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 12, 2022.
  67. Article
    D2
    “Meta-Transfer Learning through Hard Tasks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 3, 2022.
  68. Article
    D2
    “Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 12, 2022.
  69. Conference paper
    D2
    “Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task,” in 2022 IEEE Winter Conference on Applications of Computer Vision (WACV 2022), Waikoloa Village, HI, USA, 2022.
  70. Article
    D2
    “ASMCNN: An Efficient Brain Extraction Using Active Shape Model and Convolutional Neural Networks,” Information Sciences, vol. 591, 2022.
  71. Conference paper
    D2D6
    “MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes,” in International Conference on 3D Vision, Hybrid / Prague, Czechia, 2022.
  72. Article
    D2
    “PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection,” International Journal of Computer Vision, vol. 131, 2022.
  73. Article
    D2
    “OASIS: Only Adversarial Supervision for Semantic Image Synthesis,” International Journal of Computer Vision, vol. 130, 2022.
  74. Article
    D2
    “Attribute Prototype Network for Any-Shot Learning,” International Journal of Computer Vision, vol. 130, 2022.
  75. Article
    D2
    “DPER: Direct Parameter Estimation for Randomly Missing Data,” Knowledge-Based Systems, vol. 240, 2022.
  76. Article
    D2
    “Aliasing and Adversarial Robust Generalization of CNNs,” Machine Learning, vol. 111, 2022.
  77. Conference paper
    D2
    “Learning to solve Minimum Cost Multicuts efficiently using Edge-Weighted Graph Convolutional Neural Networks,” in Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2022), Grenoble, France, 2022.
  78. Article
    D2
    “TATL: Task Agnostic Transfer Learning for Skin Attributes Detection,” Medical Image Analysis, vol. 78, 2022.
  79. Conference paper
    D2
    “Impact of Realistic Properties of the Point Spread Function on Classification Tasks to Reveal a Possible Distribution Shift,” in NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and Applications (NeurIPS 2022 Workshop DistShift), New Orelans, LA, USA, 2022.
  80. Conference paper
    D2
    “Optimizing Edge Detection for Image Segmentation with Multicut Penalties,” in Pattern Recognition (DAGM GCPR 2022), Konstanz, Germany, 2022.
  81. Conference paper
    D2
    “Keypoint Message Passing for Video-Based Person Re-identification,” in Proceedings of the 36th AAAI Conference on Artificial Intelligence, Virtual Conference, 2022.
  82. Conference paper
    D2
    “PlanT: Explainable Planning Transformers via Object-Level Representations,” in Proceedings of the 6th Annual Conference on Robot Learning (CoRL 2022), Auckland, New Zealand, 2022.
  83. Conference paper
    D2
    “Two-Stage Movie Script Summarization: An Efficient Method For Low-Resource Long Document Summarization,” in Proceedings of The Workshop on Automatic Summarization for Creative Writing (COLING 2022), Gyeongju, Republic of Korea, 2022.
  84. Paper
    D2
    “HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection,” 2022. [Online]. Available: https://arxiv.org/abs/2206.15157.
  85. Paper
    D2
    “An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning,” 2022. [Online]. Available: https://arxiv.org/abs/2211.11086.
  86. Paper
    D2
    “Leveraging Self-Supervised Training for Unintentional Action Recognition,” 2022. [Online]. Available: https://arxiv.org/abs/2209.11870.
  87. Paper
    D2
    “Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts,” 2022. [Online]. Available: https://arxiv.org/abs/2211.04393.
  88. Paper
    D2
    “Visually Plausible Human-Object Interaction Capture from Wearable Sensors,” 2022. [Online]. Available: https://arxiv.org/abs/2205.02830.
  89. Thesis
    D2IMPR-CS
    “Lifted Edges as Connectivity Priors for Multicut and Disjoint Paths,” Universität des Saarlandes, Saarbrücken, 2022.
  90. Paper
    D2
    “Deep Gradient Learning for Efficient Camouflaged Object Detection,” 2022. [Online]. Available: https://arxiv.org/pdf/2205.12853.pdf.
  91. Paper
    D2
    “MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion Prediction,” 2022. [Online]. Available: https://arxiv.org/abs/2209.10033.
  92. Thesis
    D2IMPR-CS
    “Understanding and Improving Robustness and Uncertainty Estimation in Deep Learning,” Universität des Saarlandes, Saarbrücken, 2022.
  93. Paper
    D2
    “Structured Prediction Problem Archive,” 2022. [Online]. Available: https://arxiv.org/abs/2202.03574.
  94. Paper
    D2
    “On Fragile Features and Batch Normalization in Adversarial Training,” 2022. [Online]. Available: https://arxiv.org/abs/2204.12393.
  95. Paper
    D2
    “Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes,” 2022. [Online]. Available: https://arxiv.org/abs/2208.08621.
  96. Paper
    D2
    “TOCH: Spatio-Temporal Object Correspondence to Hand for Motion Refinement,” 2022. [Online]. Available: https://arxiv.org/abs/2205.07982.
  97. Paper
    D2
    “Hypergraph Transformer for Skeleton-based Action Recognition,” 2022. [Online]. Available: https://arxiv.org/abs/2211.09590.

2021

  1. Article
    D6D2
    “Real-time Deep Dynamic Characters,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH 2021), vol. 40, no. 4, 2021.
  2. Conference paper
    D2
    “Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach,” in Advances in Neural Information Processing Systems 34 (NeurIPS 2021), Virtual, 2021.
  3. Conference paper
    D2
    “Fine-Grained Zero-Shot Learning with DNA as Side Information,” in Advances in Neural Information Processing Systems 34 (NeurIPS 2021), Virtual, 2021.
  4. Conference paper
    D2
    “RMM: Reinforced Memory Management for Class-Incremental Learning,” in Advances in Neural Information Processing Systems 34 (NeurIPS 2021), Virtual, 2021.
  5. Conference paper
    D2
    “Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders,” in Advances in Neural Information Processing Systems 34 pre-proceedings (NeurIPS 2021), Virtual Event, 2021.
  6. Article
    D2
    “Monocular 3D Multi-Person Pose Estimation via Predicting Factorized Correction Factors,” Computer Vision and Image Understanding, vol. 213, 2021.
  7. Article
    D2
    “Learning to Teach and Learn for Semi-supervised Few-shot Image Classification,” Computer Vision and Image Understanding, vol. 212, 2021.
  8. Conference paper
    D2
    “mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  9. Conference paper
    D2
    “Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  10. Conference paper
    D2
    “Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  11. Conference paper
    D2
    “e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  12. Conference paper
    D2
    “Keep CALM and Improve Visual Feature Attribution,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  13. Conference paper
    D2
    “Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  14. Conference paper
    D2
    “Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  15. Conference paper
    D2
    “ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  16. Conference paper
    D2
    “Relating Adversarially Robust Generalization to Flat Minima,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  17. Conference paper
    D2
    “Task Switching Network for Multi-task Learning,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  18. Conference paper
    D2
    “Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  19. Conference paper
    D2
    “Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  20. Conference paper
    D2
    “Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  21. Conference paper
    D2
    “Dual Contrastive Loss and Attention for GANs,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  22. Conference paper
    D2
    “End-to-End Urban Driving by Imitating a Reinforcement Learning Coach,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  23. Conference paper
    D2
    “Learning Decision Trees Recurrently Through Communication,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, USA (Virtual), 2021.
  24. Conference paper
    D2
    “Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, USA (Virtual), 2021.
  25. Conference paper
    D2
    “Convolutional Dynamic Alignment Networks for Interpretable Classifications,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, USA (Virtual), 2021.
  26. Conference paper
    D2
    “Distilling Audio-Visual Knowledge by Compositional Contrastive Learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Virtual Conference, 2021.
  27. Conference paper
    D2
    “Stereo Radiance Fields (SRF): Learning View Synthesis from Sparse Views of Novel Scenes,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, USA (Virtual), 2021.
  28. Conference paper
    D2
    “Learning Spatially-Variant MAP Models for Non-blind Image Deblurring,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, USA (Virtual), 2021.
  29. Conference paper
    D2
    “Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, US (Virtual), 2021.
  30. Conference paper
    D2
    “Adaptive Aggregation Networks for Class-Incremental Learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, USA (Virtual), 2021.
  31. Conference paper
    D2
    “Open World Compositional Zero-Shot Learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Virtual Conference, 2021.
  32. Conference paper
    D2
    “Learning Graph Embeddings for Compositional Zero-shot Learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, US (Virtual), 2021.
  33. Conference paper
    D2
    “SMPLicit: Topology-aware Generative Model for Clothed People,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Virtual Conference, 2021.
  34. Conference paper
    D2
    “D-NeRF: Neural Radiance Fields for Dynamic Scenes,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, US (Virtual), 2021.
  35. Conference paper
    D2
    “Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Virtual Conference, 2021.
  36. Article
    D2
    “Deep Outlier Handling for Image Deblurring,” IEEE Transactions on Image Processing, vol. 30, 2021.
  37. Article
    D2
    “Generating Face Images With Attributes for Free,” IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 6, 2021.
  38. Conference paper
    D2
    “Future Moment Assessment for Action Query,” in IEEE Winter Conference on Applications of Computer Vision (WACV 2021), Virtual Event, 2021.
  39. Conference paper
    D2
    “Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences,” in IEEE Winter Conference on Applications of Computer Vision (WACV 2021), Virtual, 2021.
  40. Article
    D2
    “EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data,” Information Sciences, vol. 567, 2021.
  41. Conference paper
    D2
    “You Only Need Adversarial Supervision for Semantic Image Synthesis,” in International Conference on Learning Representations (ICLR 2021), Vienna, Austria (Virtual), 2021.
  42. Article
    D2
    “Norm-Aware Embedding for Efficient Person Search and Tracking,” International Journal of Computer Vision, vol. 129, 2021.
  43. Article
    D2
    “Guest Editorial: Special Issue on ‘Computer Vision for All Seasons: Adverse Weather and Lighting Conditions,’” International Journal of Computer Vision, vol. 129, 2021.
  44. Article
    D2
    “DLOW: Domain Flow and Applications,” International Journal of Computer Vision, vol. 129, 2021.
  45. Article
    D2
    “Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations,” International Journal of Computer Vision, vol. 129, 2021.
  46. Article
    D2
    “Guided Attention in CNNs for Occluded Pedestrian Detection and Re-identification,” International Journal of Computer Vision, vol. 129, 2021.
  47. Conference paper
    D2
    “SampleFix: Learning to Correct Programs by Sampling Diverse Fixes,” in Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Virtual Event, 2021.
  48. Conference paper
    D2
    “DARTS for Inverse Problems: a Study on Stability,” in NeurIPS 2021 Workshop on Deep Learning and Inverse Problems (NeurIPS 2021 Deep Inverse Workshop), Virtual, 2021.
  49. Conference paper
    D2
    “Internalized Biases in Fréchet Inception Distance,” in NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and Applications (NeurIPS 2021 Workshop DistShift), Virtual, 2021.
  50. Conference paper
    D2
    “(SP)2Net for Generalized Zero-Label Semantic Segmentation,” in Pattern Recognition (GCPR 2021), Bonn, Germany, 2022.
  51. Conference paper
    D2
    “Revisiting Consistency Regularization for Semi-supervised Learning,” in Pattern Recognition (GCPR 2021), Bonn, Germany, 2022.
  52. Conference paper
    D2
    “Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams,” in Proceedings of the 38th International Conference on Machine Learning (ICML 2021), Virtual Event, 2021.
  53. Conference paper
    D2
    “Bit Error Robustness for Energy-Efficient DNN Accelerators,” in Proceedings of the 4th MLSys Conference, Virtual Conference, 2021.
  54. Conference paper
    D2
    “Compositional Mixture Representations for Vision and Text,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2022), New Orleans, LA, USA, 2022.
  55. Conference paper
    D2
    “Probabilistic Compositional Embeddings for Multimodal Image Retrieval,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2022), New Orleans, LA, USA, 2022.
  56. Conference paper
    D2
    “A Closer Look at Self-training for Zero-Label Semantic Segmentation,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2021), Virtual Workshop, 2021.
  57. Conference paper
    D2
    “InfoScrub: Towards Attribute Privacy by Targeted Obfuscation,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2021), Virtual Workshop, 2021.
  58. Conference paper
    D2
    “Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis,” in Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2021), Montreal, Canada, 2021.
  59. Conference paper
    D2
    “Spectral Distribution Aware Image Generation,” in Thirty-Fifth AAAI Conference on Artificial Intelligence Technical Tracks 2, Virtual Conference, 2021.
  60. Paper
    D2
    “FastDOG: Fast Discrete Optimization on GPU,” 2021. [Online]. Available: https://arxiv.org/abs/2111.10270.
  61. Thesis
    D2IMPR-CS
    “Long-term future prediction under uncertainty and multi-modality,” Universität des Saarlandes, Saarbrücken, 2021.
  62. Paper
    D2
    “Where and When: Space-Time Attention for Audio-Visual Explanations,” 2021. [Online]. Available: https://arxiv.org/abs/2105.01517.
  63. Paper
    D2
    “TADA: Taxonomy Adaptive Domain Adaptation,” 2021. [Online]. Available: https://arxiv.org/abs/2109.04813.
  64. Paper
    D2
    “Learning Graph Embeddings for Open World Compositional Zero-Shot Learning,” 2021. [Online]. Available: https://arxiv.org/abs/2105.01017.
  65. Thesis
    D2IMPR-CSD4
    “From Pixels to People,” Universität des Saarlandes, Saarbrücken, 2021.
  66. Thesis
    D2IMPR-CS
    “Adversarial Content Manipulation for Analyzing and Improving Model Robustness,” Universität des Saarlandes, Saarbrücken, 2021.
  67. Paper
    D2
    “Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes,” 2021. [Online]. Available: https://arxiv.org/abs/2102.01161.

2020

  1. Conference paper
    D2
    “Hierarchical Online Instance Matching for Person Search,” in AAAI Technical Track: Vision, New York, NY, USA, 2020.
  2. Article
    D2
    “Manipulating Attributes of Natural Scenes via Hallucination,” ACM Transactions on Graphics, vol. 39, no. 1, 2020.
  3. Article
    D4D2
    “XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH 2020), vol. 39, no. 4, 2020.
  4. Conference paper
    D2D4
    “LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Virtual Event, 2020.
  5. Conference paper
    D2
    “GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Virtual Event, 2020.
  6. Conference paper
    D2
    “Neural Unsigned Distance Fields for Implicit Function Learning,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Virtual Event, 2020.
  7. Conference paper
    D2
    “Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Virtual Event, 2020.
  8. Conference paper
    D2
    “Attribute Prototype Network for Zero-Shot Learning,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Virtual Event, 2020.
  9. Conference paper
    D2
    “GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs,” in CCS ’20, ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, USA, 2020.
  10. Conference paper
    D2D4
    “Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  11. Conference paper
    D2
    “Kinematic 3D Object Detection in Monocular Video,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  12. Conference paper
    D2
    “NASA: Neural Articulated Shape Approximation,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  13. Conference paper
    D2
    “Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  14. Conference paper
    D2
    “An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  15. Conference paper
    D2
    “Towards Recognizing Unseen Categories in Unseen Domains,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  16. Conference paper
    D2
    “Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  17. Conference paper
    D2
    “Towards Automated Testing and Robustification by Semantic Adversarial Data Generation,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  18. Conference paper
    D2
    “SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  19. Conference paper
    D2
    “Inclusive GAN: Improving Data and Minority Coverage in Generative Models,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  20. Conference paper
    D2
    “Unsupervised Shape and Pose Disentanglement for 3D Meshes,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  21. Conference paper
    D2
    “Implicit Feature Networks for Texture Completion from Partial 3D Data,” in Computer Vision -- ECCV Workshops 2020, Glasgow, UK, 2020.
  22. Conference paper
    D2
    “Synthetic Convolutional Features for Improved Semantic Segmentation,” in Computer Vision -- ECCV Workshops 2020, Glasgow, UK, 2021.
  23. Conference paper
    D4D2
    “Adversarial Training Against Location-Optimized Adversarial Patches,” in Computer Vision -- ECCV Workshops 2020, Glasgow, UK, 2021.
  24. Conference paper
    D2
    “SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results,” in Computer Vision -- ECCV Workshops 2020, Glasgow, UK, 2021.
  25. Conference paper
    D2
    “Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction,” in Computer Vision -- ECCV Workshops 2020, Glasgow, UK, 2021.
  26. Conference paper
    D2
    “Generalized Many-Way Few-Shot Video Classification,” in Computer Vision -- ECCV Workshops 2020, Glasgow, UK, 2020.
  27. Article
    D2
    “Sparse Recovery with Integrality Constraints,” Discrete Applied Mathematics, vol. 283, 2020.
  28. Conference paper
    D2
    “Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  29. Conference paper
    D2
    “Normalizing Flows With Multi-Scale Autoregressive Priors,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  30. Conference paper
    D2
    “Norm-Aware Embedding for Efficient Person Search,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  31. Conference paper
    D2
    “Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  32. Conference paper
    D2
    “Evaluating Weakly Supervised Object Localization Methods Right,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  33. Conference paper
    D4D2
    “DeepCap: Monocular Human Performance Capture Using Weak Supervision,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  34. Conference paper
    D2
    “Learning Interactions and Relationships between Movie Characters,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  35. Conference paper
    D2
    “Mnemonics Training: Multi-Class Incremental Learning Without Forgetting,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  36. Conference paper
    D2
    “Learning to Dress 3D People in Generative Clothing,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  37. Conference paper
    D2
    “Learning to Transfer Texture from Clothing Images to 3D Humans,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  38. Conference paper
    D2
    “TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  39. Conference paper
    D2
    “A U-Net Based Discriminator for Generative Adversarial Networks,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  40. Article
    D2
    “Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 1, 2020.
  41. Article
    D2
    “Person Recognition in Personal Photo Collections,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 1, 2020.
  42. Article
    D2
    “SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.
  43. Article
    D2
    “DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 10, 2020.
  44. Conference paper
    D2
    “Learning Robust Representations via Multi-View Information Bottleneck,” in International Conference on Learning Representations (ICLR 2020), Addis Ababa, Ethopia, 2020.
  45. Conference paper
    D2
    “Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks,” in International Conference on Learning Representations (ICLR 2020), Addis Ababa, Ethopia, 2020.
  46. Article
    D2
    “Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-based Image Retrieval,” International Journal of Computer Vision, vol. 128, 2020.
  47. Article
    D2
    “Deep Gaze Pooling: Inferring and Visually Decoding Search Intents from Human Gaze Fixations,” Neurocomputing, vol. 387, 2020.
  48. Conference paper
    D2
    “Haar Wavelet based Block Autoregressive Flows for Trajectories,” in Pattern Recognition (GCPR 2020), Tübingen, Germany, 2021.
  49. Conference paper
    D2
    “Analyzing the Dependency of ConvNets on Spatial Information,” in Pattern Recognition (GCPR 2020), Tübingen, Germany, 2021.
  50. Conference paper
    D2
    “Long-Term Anticipation of Activities with Cycle Consistency,” in Pattern Recognition (GCPR 2020), Tübingen, Germany, 2021.
  51. Conference paper
    D2
    “On the Lifted Multicut Polytope for Trees,” in Pattern Recognition (GCPR 2020), Tübingen, Germany, 2021.
  52. Conference paper
    D2
    “Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations,” in Pattern Recognition (GCPR 2020), Tübingen, Germany, 2021.
  53. Conference paper
    D2
    “Long-Tailed Recognition Using Class-Balanced Experts,” in Pattern Recognition (GCPR 2020), Tübingen, Germany, 2021.
  54. Conference paper
    D2
    “Anticipating Averted Gaze in Dyadic Interactions,” in Proceedings ETRA 2020 Full Papers, Stuttgart, Germany, 2020.
  55. Conference paper
    D2
    “Diverse and Relevant Visual Storytelling with Scene Graph Embeddings,” in Proceedings of the 24th Conference on Computational Natural Language Learning (CoNLL 2020), Online, 2020.
  56. Conference paper
    D2
    “Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning,” in Proceedings of the 29th USENIX Security Symposium, Virtual Event, 2020.
  57. Conference paper
    D2
    “Lifted Disjoint Paths with Application in Multiple Object Tracking,” in Proceedings of the 37th International Conference on Machine Learning (ICML 2020), Virtual Conference, 2020.
  58. Conference paper
    D2
    “Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks,” in Proceedings of the 37th International Conference on Machine Learning (ICML 2020), Virtual Conference, 2020.
  59. Conference paper
    D2
    “A Primal-Dual Solver for Large-Scale Tracking-by-Assignment,” in Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics (AISTATS 2020), Virtual Conference, 2020.
  60. “CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations,” in xxAI -- Beyond Explainable AI (xxAI @ICML 2020), Vienna, Austria (Virtually), 2022.
  61. “CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations,” in xxAI -- Beyond Explainable AI (XXAI @ICML 2020), Vienna, Austria (Virtually), 2022.
  62. Paper
    D2
    “PoseTrackReID: Dataset Description,” 2020. [Online]. Available: https://arxiv.org/abs/2011.06243.
  63. Paper
    D2
    “Analyzing the Dependency of ConvNets on Spatial Information,” 2020. [Online]. Available: https://arxiv.org/abs/2002.01827.
  64. Thesis
    D2IMPR-CS
    “Improved Methods and Analysis for Semantic Image Segmentation,” Universität des Saarlandes, Saarbrücken, 2020.
  65. Thesis
    D2IMPR-CSD4
    “Towards Accurate Multi-Person Pose Estimation in the Wild,” Universität des Saarlandes, Saarbrücken, 2020.
  66. Thesis
    D2
    “Multicut Optimization Guarantees & Geometry of Lifted Multicuts,” Universität des Saarlandes, Saarbrücken, 2020.
  67. Thesis
    D2IMPR-CS
    “Sensing, Interpreting, and Anticipating Human Social Behaviour in the Real World,” Universität des Saarlandes, Saarbrücken, 2020.
  68. Thesis
    D2IMPR-CS
    “Understanding and Controlling Leakage in Machine Learning,” Universität des Saarlandes, Saarbrücken, 2020.
  69. Thesis
    D2
    “Learning from Limited Labeled Data - Zero-Shot and Few-Shot Learning,” Universität des Saarlandes, Saarbrücken, 2020.

2019

  1. Article
    D4D2
    “LiveCap: Real-time Human Performance Capture from Monocular Video,” ACM Transactions on Graphics, vol. 38, no. 2, 2019.
  2. Conference paper
    D2
    “Modeling Conceptual Understanding in Image Reference Games,” in Advances in Neural Information Processing Systems 32 (NeurIPS 2019), Vancouver, Canada, 2019.
  3. Conference paper
    D2
    “Combining Generative and Discriminative Models for Hybrid Inference,” in Advances in Neural Information Processing Systems 32 (NeurIPS 2019), Vancouver, Canada, 2019.
  4. Conference paper
    D2
    “Learning to Self-Train for Semi-Supervised Few-Shot Classification,” in Advances in Neural Information Processing Systems 32 (NeurIPS 2019), Vancouver, Canada, 2019.
  5. Book chapter / section
    D2
    “Everyday Eye Tracking for Real-World Consumer Behavior Analysis,” in A Handbook of Process Tracing Methods for Decision Research, 2nd ed., New York, NY: Taylor & Francis, 2019.
  6. Conference paper
    D2
    “Conditional Flow Variational Autoencoders for Structured Sequence Prediction,” in Bayesian Deep Learning NeurIPS 2019 Workshop, Vancouver, Canada, 2019.
  7. Conference paper
    D2
    “Evaluation of Appearance-Based Methods and Implications for Gaze-Based Applications,” in CHI 2019, CHI Conference on Human Factors in Computing Systems, Glasgow, UK, 2019.
  8. Conference paper
    D4D2
    “XNect Demo (v2): Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera,” in CVPR 2019 Demonstrations, Long Beach, CA, USA, 2019.
  9. Book chapter / section
    D2
    “Towards Reverse-Engineering Black-Box Neural Networks,” in Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, Berlin: Springer, 2019.
  10. Article
    D2
    “InvisibleEye: Fully Embedded Mobile Eye Tracking Using Appearance-Based Gaze Estimation,” GetMobile, vol. 23, no. 2, 2019.
  11. Conference paper
    D2
    “Emergent Leadership Detection Across Datasets,” in ICMI ’19, International Conference on Multimodal Interaction, Suzhou, China, 2019.
  12. Conference paper
    D2D4
    “Learning to Reconstruct People in Clothing from a Single RGB Camera,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  13. Conference paper
    D2
    “Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  14. Conference paper
    D4D2
    “In the Wild Human Pose Estimation using Explicit 2D Features and Intermediate 3D Representations,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  15. Conference paper
    D2
    “Time-Conditioned Action Anticipation in One Shot,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  16. Conference paper
    D2
    “Combinatorial Persistency Criteria for Multicut and Max-Cut,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  17. Conference paper
    D2
    “Knockoff Nets: Stealing Functionality of Black-Box Models,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  18. Conference paper
    D2
    “Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  19. Conference paper
    D2
    “Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  20. Conference paper
    D2
    “Disentangling Adversarial Robustness and Generalization,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  21. Conference paper
    D2
    “Meta-Transfer Learning for Few-Shot Learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  22. Conference paper
    D2
    “MAP Inference via Block-Coordinate Frank-Wolfe Algorithm,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  23. Conference paper
    D2D4
    “A Convex Relaxation for Multi-Graph Matching,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  24. Conference paper
    D2
    “f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  25. Conference paper
    D2
    “Semantic Projection Network for Zero- and Few-Label Semantic Segmentation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  26. Conference paper
    D2
    “Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  27. Conference paper
    D2D4
    “SimulCap : Single-View Human Performance Capture with Cloth Simulation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.
  28. Conference paper
    D2
    “Towards High-Frequency SSVEP-Based Target Discrimination with an Extended Alphanumeric Keyboard,” in IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019), Bari, Italy, 2019.
  29. Article
    D2
    “Zero-shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 9, 2019.
  30. Article
    D2
    “MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 1, 2019.
  31. Conference paper
    D2
    “Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources,” in 2019 IEEE Winter Conference on Applications of Computer Vision (WACV 2019), Waikoloa Village, HI, USA, 2019.
  32. Conference paper
    D2
    “360-Degree Textures of People in Clothing from a Single Image,” in International Conference on 3D Vision, Québec City, Canada, 2019.
  33. Conference paper
    D2
    “Bottleneck Potentials in Markov Random Fields,” in International Conference on Computer Vision (ICCV 2019), Seoul, Korea, 2019.
  34. Conference paper
    D2D4
    “Tex2Shape: Detailed Full Human Body Geometry from a Single Image,” in International Conference on Computer Vision (ICCV 2019), Seoul, Korea, 2019.
  35. Conference paper
    D4D2
    “HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching,” in International Conference on Computer Vision (ICCV 2019), Seoul, Korea, 2019.
  36. Conference paper
    D2D4
    “Multi-Garment Net: Learning to Dress 3D People from Images,” in International Conference on Computer Vision (ICCV 2019), Seoul, Korea, 2019.
  37. Conference paper
    D2
    “AMASS: Archive of Motion Capture as Surface Shapes,” in International Conference on Computer Vision (ICCV 2019), Seoul, Korea, 2019.
  38. Conference paper
    D2
    “Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking,” in International Conference on Computer Vision (ICCV 2019), Seoul, Korea, 2019.
  39. Conference paper
    D2
    “Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints,” in International Conference on Computer Vision (ICCV 2019), Seoul, Korea, 2019.
  40. Conference paper
    D2
    “Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods,” in International Conference on Learning Representations (ICLR 2019), New Orleans, LA, USA, 2019.
  41. Article
    D2
    “Lucid Data Dreaming for Video Object Segmentation,” International Journal of Computer Vision, vol. 127, no. 9, 2019.
  42. Conference paper
    D2
    “Moment-to-Moment Detection of Internal Thought from Eye Vergence Behaviour,” in MM ’19, 27th ACM International Conference on Multimedia, Nice, France, 2019.
  43. Conference paper
    D2
    “Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders,” in Multilingual Surface Realisation (MSR 2019), Hong Kong, China, 2019.
  44. Conference paper
    D2
    “SacCalib: Reducing Calibration Distortion for Stationary Eye Trackers Using Saccadic Eye Movements,” in Proceedings ETRA 2019, Denver, CO, USA, 2019.
  45. Conference paper
    D2
    “Reducing Calibration Drift in Mobile Eye Trackers by Exploiting Mobile Phone Usage,” in Proceedings ETRA 2019, Denver, CO, USA, 2019.
  46. Conference paper
    D2
    “Privacy-Aware Eye Tracking Using Differential Privacy,” in Proceedings ETRA 2019, Denver, CO, USA, 2019.
  47. Conference paper
    D2
    “PrivacEye: Privacy-Preserving Head-Mounted Eye Tracking Using Egocentric Scene Image and Eye Movement Features,” in Proceedings ETRA 2019, Denver, CO, USA, 2019.
  48. Conference paper
    D2
    “Detecting Stress from Mouse-Gaze Attraction,” in Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (SAC 2019), Limassol, Cyprus, 2019.
  49. Conference paper
    D2
    “Gradient-Leaks: Understanding Deanonymization in Federated Learning,” in The 2nd International Workshop on Federated Learning for Data Privacy and Confidentiality (FL-NeurIPS 2019), Vancouver, Canada, 2019.
  50. Paper
    D2
    “Bottleneck Potentials in Markov Random Fields,” 2019. [Online]. Available: http://arxiv.org/abs/1904.08080.
  51. Paper
    D2
    “‘Best-of-Many-Samples’ Distribution Matching,” 2019. [Online]. Available: http://arxiv.org/abs/1909.12598.
  52. Paper
    D2
    “LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning,” 2019. [Online]. Available: http://arxiv.org/abs/1904.08479.
  53. Paper
    D2
    “Learning Manipulation under Physics Constraints with Visual Perception,” 2019. [Online]. Available: http://arxiv.org/abs/1904.09860.
  54. Paper
    D2
    “Interpretability Beyond Classification Output: Semantic Bottleneck Networks,” 2019. [Online]. Available: http://arxiv.org/abs/1907.10882.
  55. Paper
    D2
    “A Novel BiLevel Paradigm for Image-to-Image Translation,” 2019. [Online]. Available: http://arxiv.org/abs/1904.09028.
  56. Paper
    D4D2
    “XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera,” 2019. [Online]. Available: http://arxiv.org/abs/1907.00837.
  57. Paper
    D2
    “Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches,” 2019. [Online]. Available: http://arxiv.org/abs/1905.11503.
  58. Thesis
    D2IMPR-CS
    “Intents and Preferences Prediction Based on Implicit Human Cues,” Universität des Saarlandes, Saarbrücken, 2019.
  59. Thesis
    D2IMPR-CS
    “Mobile Eye Tracking for Everyone,” Universität des Saarlandes, Saarbrücken, 2019.
  60. Paper
    D2
    “Confidence-Calibrated Adversarial Training and Detection: More Robust Models Generalizing Beyond the Attack Used During Training,” 2019. [Online]. Available: http://arxiv.org/abs/1910.06259.

2018

  1. Conference paper
    D4D2
    “Sequential Attacks on Agents for Long-Term Adversarial Goals,” in 2. ACM Computer Science in Cars Symposium (CSCS 2018), Munich, Germany, 2018.
  2. Conference paper
    D2D4
    “Detailed Human Avatars from Monocular Video,” in 3DV 2018 , International Conference on 3D Vision, Verona, Italy, 2018.
  3. Conference paper
    D4D2
    “Single-Shot Multi-person 3D Pose Estimation from Monocular RGB,” in 3DV 2018 , International Conference on 3D Vision, Verona, Italy, 2018.
  4. Conference paper
    D2
    “Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation,” in 3DV 2018 , International Conference on 3D Vision, Verona, Italy, 2018.
  5. Article
    D2
    “Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2018), vol. 37, no. 6, 2018.
  6. Article
    D2
    “Quick Bootstrapping of a Personalized Gaze Model from Real-Use Interactions,” ACM Transactions on Intelligent Systems and Technology, vol. 9, no. 4, 2018.
  7. Conference paper
    D2
    “Unsupervised Learning of Shape and Pose with Differentiable Point Clouds,” in Advances in Neural Information Processing Systems 31 (NeurIPS 2018), Montréal, Canada, 2018.
  8. Conference paper
    D2
    “Adversarial Scene Editing: Automatic Object Removal from Weak Supervision,” in Advances in Neural Information Processing Systems 31 (NeurIPS 2018), Montréal, Canada, 2018.
  9. Conference paper
    D2
    “VRPursuits: Interaction in Virtual Reality using Smooth Pursuit Eye Movements,” in AVI 2018, International Conference on Advanced Visual Interfaces, Grosseto, Italy, 2018.
  10. Article
    D2BIOD5
    “JAMI: Fast Computation of Conditional Mutual Information for ceRNA Network Analysis,” Bioinformatics, vol. 34, no. 17, 2018.
  11. Conference paper
    D2
    “Understanding Face and Eye Visibility in Front-Facing Cameras of Smartphones used in the Wild,” in CHI 2018, CHI Conference on Human Factors in Computing Systems, Montréal, Canada, 2018.
  12. Conference paper
    D2
    “Which one is me? Identifying Oneself on Public Displays,” in CHI 2018, CHI Conference on Human Factors in Computing Systems, Montréal, Canada, 2018.
  13. Conference paper
    D2
    “Training Person-Specific Gaze Estimators from Interactions with Multiple Devices,” in CHI 2018, CHI Conference on Human Factors in Computing Systems, Montréal, Canada, 2018.
  14. Article
    D2
    “GazeDirector: Fully Articulated Eye Gaze Redirection in Video,” Computer Graphics Forum (Proc. EUROGRAPHICS 2018), vol. 37, no. 2, 2018.
  15. Conference paper
    D2
    “Video Object Segmentation with Language Referring Expressions,” in Computer Vision - ACCV 2018, Perth, Australia, 2019.
  16. Conference paper
    D2
    “NightOwls: A Pedestrians at Night Dataset,” in Computer Vision - ACCV 2018, Perth, Australia, 2019.
  17. Conference paper
    D2
    “Grounding Visual Explanations,” in Computer Vision -- ECCV 2018, Munich, Germany, 2018.
  18. Conference paper
    D2
    “Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes,” in Computer Vision -- ECCV 2018, Munich, Germany, 2018.
  19. Conference paper
    D2
    “Textual Explanations for Self-Driving Vehicles,” in Computer Vision -- ECCV 2018, Munich, Germany, 2018.
  20. Conference paper
    D2D4
    “A Hybrid Model for Identity Obfuscation by Face Replacement,” in Computer Vision -- ECCV 2018, Munich, Germany, 2018.
  21. Conference paper
    D2
    “Recovering Accurate {3D} Human Pose in the Wild Using {IMUs} and a Moving Camera,” in Computer Vision -- ECCV 2018, Munich, Germany, 2018.
  22. Conference paper
    D2
    “Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions,” in Computer Vision - ECCV 2018 Workshops, Munich, Germany, 2019.
  23. Conference paper
    D2
    “GazeDrone: Mobile Eye-Based Interaction in Public Space Without Augmenting the User,” in DroNet’18, 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications, Munich, Germany, 2018.
  24. Conference paper
    D4D2
    “Demo of XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera,” in ECCV 2018 Demo Sessions, Munich, Germany, 2018.
  25. Conference paper
    D2
    “A Vision-grounded Dataset for Predicting Typical Locations for Verbs,” in Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan, 2018.
  26. Article
    D2
    “Eye Movements During Everyday Behavior Predict Personality Traits,” Frontiers in Human Neuroscience, vol. 12, 2018.
  27. Conference paper
    D2
    “Objects, Relationships, and Context in Visual Data,” in ICMR’18, International Conference on Multimedia Retrieval, Yokohama, Japan, 2018.
  28. Conference paper
    D4D2
    “Video Based Reconstruction of 3D People Models,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
  29. Conference paper
    D2
    “PoseTrack: A Benchmark for Human Pose Estimation and Tracking,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
  30. Conference paper
    D2
    “Accurate and Diverse Sampling of Sequences based on a ‘Best of Many’ Sample Objective,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
  31. Conference paper
    D2
    “Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
  32. Conference paper
    D2
    “Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
  33. Conference paper
    D2
    “Disentangled Person Image Generation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
  34. Conference paper
    D2
    “Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
  35. Conference paper
    D2
    “Multimodal Explanations: Justifying Decisions and Pointing to the Evidence,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
  36. Conference paper
    D2
    “Learning 3D Shape Completion from Laser Scan Data with Weak Supervision,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
  37. Conference paper
    D2
    “Natural and Effective Obfuscation by Head Inpainting,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
  38. Conference paper
    D2
    “Feature Generating Networks for Zero-Shot Learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
  39. Conference paper
    D2
    “Fooling Vision and Language Models Despite Localization and Attention Mechanism,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
  40. Conference paper
    D2
    “DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
  41. Conference paper
    D2
    “Occluded Pedestrian Detection through Guided Attention in CNNs,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, UT, USA, 2018.
  42. Conference paper
    D2
    “Learning to Refine Human Pose Estimation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2018), Salt Lake City, UT, USA, 2018.
  43. Article
    D2
    “Image and Video Captioning with Augmented Neural Architectures,” IEEE MultiMedia, vol. 25, no. 2, 2018.
  44. Article
    D2
    “Fast-PADMA: Rapidly Adapting Facial Affect Model from Similar Individuals,” IEEE Transactions on Multimedia, vol. 20, no. 7, 2018.
  45. Article
    D2
    “Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 8, 2018.
  46. Article
    D2
    “Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 7, 2018.
  47. Article
    D2
    “Discriminatively Trained Latent Ordinal Model for Video Classification,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 8, 2018.
  48. Article
    D2
    “Towards Reaching Human Performance in Pedestrian Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 4, 2018.
  49. Article
    D2
    “Learning 3D Shape Completion under Weak Supervision,” International Journal of Computer Vision, vol. 128, 2018.
  50. Article
    D2
    “Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos,” International Journal of Computer Vision, vol. 126, no. 2–4, 2018.
  51. Conference paper
    D2
    “Every Little Movement Has a Meaning of Its Own: Using Past Mouse Movements to Predict the Next Interaction,” in IUI 2018, 23rd International Conference on Intelligent User Interfaces, Tokyo, Japan, 2018.
  52. Conference paper
    D2
    “Detecting Low Rapport During Natural Interactions in Small Groups from Non-Verbal Behaviour,” in IUI 2018, 23rd International Conference on Intelligent User Interfaces, Tokyo, Japan, 2018.
  53. Conference paper
    D2
    “Explainable AI: The New 42?,” in Machine Learning and Knowledge Extraction (CD-MAKE 2018), Hamburg, Germany, 2018.
  54. Article
    D2
    “Tracing Cell Lineages in Videos of Lens-free Microscopy,” Medical Image Analysis, vol. 48, 2018.
  55. Conference paper
    D2
    “Cross-Species Learning: A Low-Cost Approach to Learning Human Fight from Animal Fight,” in MM’18, 26th ACM Multimedia Conference, Seoul, Korea, 2018.
  56. Conference paper
    D2
    “The Past, Present, and Future of Gaze-enabled Handheld Mobile Devices: Survey and Lessons Learned,” in MobileHCI 2018, 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, Barcelona, Spain, 2018.
  57. Conference paper
    D2
    “Forecasting User Attention During Everyday Mobile Interactions Using Device-Integrated and Wearable Sensors,” in MobileHCI 2018, 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, Barcelona, Spain, 2018.
  58. Conference paper
    D4D2
    “NRST: Non-rigid Surface Tracking from Monocular Video,” in Pattern Recognition (GCPR 2018), Stuttgart, Germany, 2019.
  59. Conference paper
    D2
    “Error-Aware Gaze-Based Interfaces for Robust Mobile Gaze Interaction,” in Proceedings ETRA 2018, Warsaw, Poland, 2018.
  60. Conference paper
    D2
    “Hidden Pursuits: Evaluating Gaze-selection via Pursuits when the Stimuli’s Trajectory is Partially Hidden,” in Proceedings ETRA 2018, Warsaw, Poland, 2018.
  61. Conference paper
    D2
    “Robust Eye Contact Detection in Natural Multi-Person Interactions Using Gaze and Speaking Behaviour,” in Proceedings ETRA 2018, Warsaw, Poland, 2018.
  62. Conference paper
    D2
    “Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings,” in Proceedings ETRA 2018, Warsaw, Poland, 2018.
  63. Conference paper
    D2
    “Fixation Detection for Head-Mounted Eye Tracking Based on Visual Similarity of Gaze Targets,” in Proceedings ETRA 2018, Warsaw, Poland, 2018.
  64. Conference paper
    D2
    “Revisiting Data Normalization for Appearance-Based Gaze Estimation,” in Proceedings ETRA 2018, Warsaw, Poland, 2018.
  65. Conference paper
    D2
    “A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation,” in Proceedings of the 27th USENIX Security Symposium, Baltimore, MD, USA, 2018.
  66. Conference paper
    D2D1
    “Partial Optimality and Fast Lower Bounds for Weighted Correlation Clustering,” in Proceedings of the 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden, 2018.
  67. Conference paper
    D2
    “A Multimodal Corpus of Expert Gaze and Behavior during Phonetic Segmentation Tasks,” in Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan, 2018.
  68. Conference paper
    D2
    “Generating Counterfactual Explanations with Natural Language,” in Proceedings of the 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden, 2018.
  69. Article
    D2
    “Advanced Steel Microstructure Classification by Deep Learning Methods,” Scientific Reports, vol. 8, 2018.
  70. Conference paper
    D2
    “Towards Reverse-Engineering Black-Box Neural Networks,” in Sixth International Conference on Learning Representations (ICLR 2018), Vancouver, Canada, 2018.
  71. Conference paper
    D2
    “Long-Term Image Boundary Prediction,” in Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, LA, USA, 2018.
  72. Paper
    D4D2
    “Higher-order Projected Power Iterations for Scalable Multi-Matching,” 2018. [Online]. Available: http://arxiv.org/abs/1811.10541.
  73. Paper
    D2
    “Bayesian Prediction of Future Street Scenes through Importance Sampling based Optimization,” 2018. [Online]. Available: http://arxiv.org/abs/1806.06939.
  74. Proceedings
    D2
    Eds., Proceedings PETMEI 2018. ACM, 2018.
  75. Paper
    D2
    “Primal-Dual Wasserstein GAN,” 2018. [Online]. Available: http://arxiv.org/abs/1805.09575.
  76. Paper
    D2
    “MLCapsule: Guarded Offline Deployment of Machine Learning as a Service,” 2018. [Online]. Available: http://arxiv.org/abs/1808.00590.
  77. Paper
    D2
    “Manipulating Attributes of Natural Scenes via Hallucination,” 2018. [Online]. Available: http://arxiv.org/abs/1808.07413.
  78. Paper
    D4D2
    “Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation,” 2018. [Online]. Available: http://arxiv.org/abs/1812.09899.
  79. Thesis
    D2IMPR-CS
    “From Perception over Anticipation to Manipulation,” Universität des Saarlandes, Saarbrücken, 2018.
  80. Paper
    D2
    “Deep Appearance Maps,” 2018. [Online]. Available: http://arxiv.org/abs/1804.00863.
  81. Thesis
    D2IMPR-CS
    “Image Manipulation against Learned Models Privacy and Security Implications,” Universität des Saarlandes, Saarbrücken, 2018.
  82. Paper
    D2
    “Understanding and Controlling User Linkability in Decentralized Learning,” 2018. [Online]. Available: http://arxiv.org/abs/1805.05838.
  83. Paper
    D2
    “End-to-end Learning for Graph Decomposition,” 2018. [Online]. Available: http://arxiv.org/abs/1812.09737.
  84. Paper
    D2
    “PrivacEye: Privacy-Preserving First-Person Vision Using Image Features and Eye Movement Analysis,” 2018. [Online]. Available: http://arxiv.org/abs/1801.04457.
  85. Thesis
    D2
    “Gaze Estimation and Interaction in Real-World Environments,” Universität des Saarlandes, Saarbrücken, 2018.

2017

  1. Conference paper
    D2
    “They are all after you: Investigating the Viability of a Threat Model that involves Multiple Shoulder Surfers,” in 16th International Conference on Mobile and Ubiquitous Multimedia (MUM 2017), Stuttgart, Germany, 2017.
  2. Conference paper
    D2
    “EyeMirror: Mobile Calibration-Free Gaze Approximation using Corneal Imaging,” in 16th International Conference on Mobile and Ubiquitous Multimedia (MUM 2017), Stuttgart, Germany, 2017.
  3. Conference paper
    D2
    “Long-Term On-Board Prediction of Pedestrians in Traffic Scenes,” in 1st Conference on Robot Learning (CoRL 2017), Mountain View, CA, USA, 2017.
  4. Conference paper
    D2
    “Gradient-free Policy Architecture Search and Adaptation,” in 1st Conference on Robot Learning (CoRL 2017), Mountain View, CA, USA, 2017.
  5. Conference paper
    D2
    “STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  6. Conference paper
    D2
    “Learning Non-maximum Suppression,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  7. Conference paper
    D2
    “ArtTrack: Articulated Multi-Person Tracking in the Wild,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  8. Conference paper
    D2
    “Gaze Embeddings for Zero-Shot Image Classification,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  9. Conference paper
    D2
    “Learning Video Object Segmentation from Static Images,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  10. Conference paper
    D2
    “Simple Does It: Weakly Supervised Instance and Semantic Segmentation,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  11. Conference paper
    D2
    “InstanceCut: from Edges to Instances with MultiCut,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  12. Conference paper
    D2
    “Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  13. Conference paper
    D2
    “A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-blank Question-answering,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  14. Conference paper
    D2
    “Exploiting Saliency for Object Segmentation from Image Level Labels,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  15. Conference paper
    D2
    “Generating Descriptions with Grounded and Co-Referenced People,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  16. Conference paper
    D2
    “A Domain Based Approach to Social Relation Recognition,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  17. Conference paper
    D2
    “A Message Passing Algorithm for the Minimum Cost Multicut Problem,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  18. Conference paper
    D2
    “Multiple People Tracking by Lifted Multicut and Person Re-identification,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  19. Conference paper
    D2
    “Zero-shot learning - The Good, the Bad and the Ugly,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  20. Conference paper
    D2
    “CityPersons: A Diverse Dataset for Pedestrian Detection,” in 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA, 2017.
  21. Conference paper
    D2
    “It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation,” in 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2017), Honolulu, HI, USA, 2017.
  22. Conference paper
    D2
    “Visual Stability Prediction and Its Application to Manipulation,” in AAAI 2017 Spring Symposia 05, Interactive Multisensory Object Perception for Embodied Agents, Palo Alto, CA, 2017.
  23. Conference paper
    D2
    “Pose Guided Person Image Generation,” in Advances in Neural Information Processing Systems 30 (NIPS 2017), Long Beach, CA, USA, 2017.
  24. Conference paper
    D2
    “ScreenGlint: Practical, In-situ Gaze Estimation on Smartphones,” in CHI’17, 35th Annual ACM Conference on Human Factors in Computing Systems, Denver, CO, USA, 2017.
  25. Conference paper
    D2
    “Noticeable or Distractive? A Design Space for Gaze-Contingent User Interface Notifications,” in CHI 2017 Extended Abstracts, Denver, CO, USA, 2017.
  26. Conference paper
    D2
    “Lucid Data Dreaming for Object Tracking,” in DAVIS Challenge on Video Object Segmentation 2017, Honolulu, HI, USA, 2017.
  27. Conference paper
    D2
    “GazeTouchPIN: Protecting Sensitive Data on Mobile Devices using Secure Multimodal Authentication,” in ICMI’17, 19th ACM International Conference on Multimodal Interaction, Glasgow, UK, 2017.
  28. Conference paper
    D2D4
    “What Is Around The Camera?,” in IEEE International Conference on Computer Vision (ICCV 2017), Venice, Italy, 2017.
  29. Conference paper
    D2
    “Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective,” in IEEE International Conference on Computer Vision (ICCV 2017), Venice, Italy, 2017.
  30. Conference paper
    D2
    “Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images,” in IEEE International Conference on Computer Vision (ICCV 2017), Venice, Italy, 2017.
  31. Conference paper
    D2
    “Efficient Algorithms for Moral Lineage Tracing,” in IEEE International Conference on Computer Vision (ICCV 2017), Venice, Italy, 2017.
  32. Conference paper
    D2
    “Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training,” in IEEE International Conference on Computer Vision (ICCV 2017), Venice, Italy, 2017.
  33. Conference paper
    D2
    “Paying Attention to Descriptions Generated by Image Captioning Models,” in IEEE International Conference on Computer Vision (ICCV 2017), Venice, Italy, 2017.
  34. Conference paper
    D2
    “Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling,” in 2017 IEEE International Conference on Computer Vision Workshops (MBCC @ICCV 2017), Venice, Italy, 2017.
  35. Conference paper
    D2
    “Visual Stability Prediction for Robotic Manipulation,” in IEEE International Conference on Robotics and Automation (ICRA 2017), Singapore, 2017.
  36. Article
    D4D2
    “MARCOnI -- ConvNet-Based MARker-Less Motion Capture in Outdoor and Indoor Scenes,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 3, 2017.
  37. Article
    D4D2
    “Novel Views of Objects from a Single Image,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 8, 2017.
  38. Article
    D2
    “Expanded Parts Model for Semantic Description of Humans in Still Images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 1, 2017.
  39. Article
    D2
    “A Compact Representation of Human Actions by Sliding Coordinate Coding,” International Journal of Advanced Robotic Systems, vol. 14, no. 6, 2017.
  40. Article
    D2
    “Ask Your Neurons: A Deep Learning Approach to Visual Question Answering,” International Journal of Computer Vision, vol. 125, no. 1–3, 2017.
  41. Article
    D2D5
    “Movie Description,” International Journal of Computer Vision, vol. 123, no. 1, 2017.
  42. Conference paper
    D2
    “Cell Lineage Tracing in Lens-Free Microscopy Videos,” in Medical Image Computing and Computer Assisted Intervention -- MICCAI 2017, Quebec City, Canada, 2017.
  43. Article
    D2D4
    “Building Statistical Shape Spaces for 3D Human Modeling,” Pattern Recognition, vol. 67, 2017.
  44. Article
    D2
    “Online Growing Neural Gas for Anomaly Detection in Changing Surveillance Scenes,” Pattern Recognition, vol. 64, 2017.
  45. Conference paper
    D2
    “Learning Dilation Factors for Semantic Segmentation of Street Scenes,” in Pattern Recognition (GCPR 2017), Basel, Switzerland, 2017.
  46. Conference paper
    D2
    “A Comparative Study of Local Search Algorithms for Correlation Clustering,” in Pattern Recognition (GCPR 2017), Basel, Switzerland, 2017.
  47. Article
    D2
    “Look Together: Using Gaze for Assisting Co-located Collaborative Search,” Personal and Ubiquitous Computing, vol. 21, no. 1, 2017.
  48. Conference paper
    D2
    “GTmoPass: Two-factor Authentication on Public Displays Using GazeTouch passwords and Personal Mobile Devices,” in Pervasive Displays 2017 (PerDis 2017), Lugano, Switzerland, 2017.
  49. Conference paper
    D2
    “Analysis and Optimization of Graph Decompositions by Lifted Multicuts,” in Proceedings of the 34th International Conference on Machine Learning (ICML 2017), Sydney, Australia, 2017.
  50. Article
    D2
    “EyePACT: Eye-Based Parallax Correction on Touch-Enabled Interactive Displays,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 1, no. 4, 2017.
  51. Article
    D2
    “InvisibleEye: Mobile Eye Tracking Using Multiple Low-Resolution Cameras and Learning-Based Gaze Estimation,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 1, no. 3, 2017.
  52. Conference paper
    D5D2
    “Efficiently Summarising Event Sequences with Rich Interleaving Patterns,” in Proceedings of the Seventeenth SIAM International Conference on Data Mining (SDM 2017), Houston, TX, USA, 2017.
  53. Conference paper
    D2
    “Are you stressed? Your eyes and the mouse can tell,” in Seventh International Conference on Affective Computing and Intelligent Interaction (ACII 2017), San Antonio, TX, USA, 2017.
  54. Conference paper
    D2
    “EyeScout: Active Eye Tracking for Position and Movement Independent Gaze Interaction with Large Public Displays,” in UIST’17, 30th Annual Symposium on User Interface Software and Technology, Quebec City, Canada, 2017.
  55. Conference paper
    D2
    “Everyday Eye Contact Detection Using Unsupervised Gaze Target Discovery,” in UIST’17, 30th Annual Symposium on User Interface Software and Technology, Quebec City, Canada, 2017.
  56. Thesis
    D2IMPR-CS
    “Analysis and Improvement of the Visual Object Detection Pipeline,” Universität des Saarlandes, Saarbrücken, 2017.
  57. Thesis
    D2IMPR-CS
    “Learning to Segment in Images and Videos with Different Forms of Supervision,” Universität des Saarlandes, Saarbrücken, 2017.
  58. Paper
    D2
    “Lucid Data Dreaming for Multiple Object Tracking,” 2017. [Online]. Available: http://arxiv.org/abs/1703.09554.
  59. “Image Classification with Limited Training Data and Class Ambiguity,” Universität des Saarlandes, Saarbrücken, 2017.
  60. Paper
    D2
    “Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning,” 2017. [Online]. Available: http://arxiv.org/abs/1711.00267.
  61. Thesis
    D2IMPR-CS
    “Towards Holistic Machines: From Visual Recognition To Question Answering About Real-world Image,” Universität des Saarlandes, Saarbrücken, 2017.
  62. Paper
    D2
    “Person Recognition in Social Media Photos,” 2017. [Online]. Available: http://arxiv.org/abs/1710.03224.
  63. Paper
    D2
    “Whitening Black-Box Neural Networks,” 2017. [Online]. Available: http://arxiv.org/abs/1711.01768.
  64. Paper
    D2
    “Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract),” 2017. [Online]. Available: http://arxiv.org/abs/1711.07373.
  65. Thesis
    D2IMPR-CS
    “Generation and Grounding of Natural Language Descriptions for Visual Data,” Universität des Saarlandes, Saarbrücken, 2017.
  66. Paper
    D2
    “Visual Decoding of Targets During Visual Search From Human Eye Fixations,” 2017. [Online]. Available: http://arxiv.org/abs/1706.05993.
  67. Thesis
    D2IMPR-CS
    “People detection and tracking in crowded scenes,” Universität des Saarlandes, Saarbrücken, 2017.

2016

  1. Conference paper
    D2
    “Multi-Cue Zero-Shot Learning with Strong Supervision,” in 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA, 2016.
  2. Conference paper
    D2
    “CP-mtML: Coupled Projection Multi-task Metric Learning for Large Scale Face Retrieval,” in 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA, 2016.
  3. Conference paper
    D2
    “The Cityscapes Dataset for Semantic Urban Scene Understanding,” in 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA, 2016.
  4. Conference paper
    D2
    “Moral Lineage Tracing,” in 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA, 2016.
  5. Conference paper
    D2
    “Weakly Supervised Object Boundaries,” in 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA, 2016.
  6. “Loss Functions for Top-k Error: Analysis and Insights,” in 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA, 2016.
  7. Conference paper
    D2
    “DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation,” in 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA, 2016.
  8. Conference paper
    D2
    “Learning Deep Representations of Fine-Grained Visual Descriptions,” in 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA, 2016.
  9. Conference paper
    D2
    “Deep Reflectance Maps,” in 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA, 2016.
  10. Conference paper
    D2
    “Convexity Shape Constraints for Image Segmentation,” in 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA, 2016.
  11. Conference paper
    D2
    “LOMo: Latent Ordinal Model for Facial Analysis in Videos,” in 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA, 2016.
  12. Conference paper
    D2
    “End-to-end People Detection in Crowded Scenes,” in 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA, 2016.
  13. Conference paper
    D2
    “Latent Embeddings for Zero-shot Classification,” in 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA, 2016.
  14. Conference paper
    D2
    “How Far are We from Solving Pedestrian Detection?,” in 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA, 2016.
  15. Article
    D4D2
    “EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras,” ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2016), vol. 35, no. 6, 2016.
  16. Conference paper
    D2
    “Learning What and Where to Draw,” in Advances in Neural Information Processing Systems 29 (NIPS 2016), Barcelona, Spain, 2016.
  17. Conference paper
    D2
    “SkullConduct: Biometric User Identification on Eyewear Computers Using Bone Conduction Through the Skull,” in CHI 2016, 34th Annual ACM Conference on Human Factors in Computing Systems, San Jose, CA, USA, 2016.