Yongqin Xian (Postdoc)

Personal Information

Personal Website

I will leave MPII in July, 2021 and will not take any master students.

 

Publications

2024

  1. Article
    D2D6
    “Recent Trends in 3D Reconstruction of General Non-Rigid Scenes,” Computer Graphics Forum (Proc. EUROGRAPHICS 2024), vol. 43.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. Conference paper
    D2
    “Point Transformer V3: Simpler, Faster, Stronger,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA.
  8. 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.
  9. 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.
  10. 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.
  11. 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.