Publications - Last Year

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. Article
    D2
    “A Polyhedral Study of Lifted Multicuts,” Discrete Optimization, vol. 47, 2023.
  3. Conference paper
    D2
    “SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning,” in Eleventh International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda.
  4. Conference paper
    D2
    “Neural Architecture Design and Robustness: A Dataset,” in Eleventh International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda.
  5. Conference paper
    D2
    “FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning,” in Eleventh International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda.
  6. 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.
  7. 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.
  8. Conference paper
    D2
    “Federated Incremental Semantic Segmentation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. Conference paper
    D2
    “Test-time Domain Adaptation for Monocular Depth Estimation,” in IEEE International Conference on Robotics and Automation (ICRA 2023), London, UK, 2023.
  21. Article
    D2
    “LayerNet: High-Resolution Semantic 3D Reconstruction of Clothed People,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 2, 2023.
  22. 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.
  23. Article
    D6D4D2
    “A Deeper Look into DeepCap,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 4, 2023.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. Article
    D2
    “Revisiting Consistency Regularization for Semi-supervised Learning,” International Journal of Computer Vision, vol. 131, 2023.
  31. Article
    D2
    “Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation,” International Journal of Computer Vision, 2023.
  32. Article
    D2
    “Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization,” International Journal of Computer Vision, 2023.
  33. Article
    D2
    “3D Object Detection for Autonomous Driving: A Comprehensive Survey,” International Journal of Computer Vision, 2023.
  34. Article
    D2
    “Learning Comprehensive Global Features in Person Re-identification: Ensuring Discriminativeness of more Local Regions,” Pattern Recognition, vol. 134, 2023.
  35. Conference paper
    D2
    “Online Hyperparameter Optimization for Class-Incremental Learning,” in Proceedings of the 37th AAAI Conference on Artificial Intelligence, Washington, DC, USA, 2023.
  36. 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.
  37. 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.
  38. 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.
  39. Conference paper
    D2
    “TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France.
  40. Conference paper
    D2
    “SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France.
  41. Conference paper
    D2
    “Robustifying Token Attention for Vision Transformers,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France.
  42. Conference paper
    D2
    “Studying How to Efficiently and Effectively Guide Models with Explanations,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France.
  43. Conference paper
    D2
    “DARTH: Holistic Test-time Adaptation for Multiple Object Tracking,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France.
  44. Conference paper
    D2
    “In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France.
  45. Conference paper
    D2
    “Learning by Sorting: Self-supervised Learning with Group Ordering Constraints,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France.
  46. Conference paper
    D2
    “UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France.
  47. Conference paper
    D2
    “SimNP: Learning Self-Similarity Priors Between Neural Points,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France.
  48. Conference paper
    D2
    “NSF: Neural Surface Fields for Human Modeling from Monocular Depth,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France.
  49. Article
    D2
    “Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences,” Transactions of the Association for Computational Linguistics, vol. 11, 2023.
  50. Thesis
    D2D6
    “Modelling 3D Humans : Pose, Shape, Clothing and Interactions,” Universität des Saarlandes, Saarbrücken, 2023.
  51. Thesis
    D2
    “Learning from Imperfect Data Incremental Learning and Few-shot Learning,” Universität des Saarlandes, Saarbrücken, 2023.
  52. Thesis
    D2
    “Improving Quality and Controllability in GAN-based Image Synthesis,” Universität des Saarlandes, Saarbrücken, 2023.