Publications - The Year Before Last

2023

  1. Conference paper
    D2
    “Implicit Representations for Image Segmentation,” in UniReps: The First Workshop on Unifying Representations in Neural Models, New Orleans, LA, USA, 2022.

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
    “An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning,” 2022. [Online]. Available: https://arxiv.org/abs/2211.11086.
  85. Paper
    D2
    “Leveraging Self-Supervised Training for Unintentional Action Recognition,” 2022. [Online]. Available: https://arxiv.org/abs/2209.11870.
  86. Paper
    D2
    “Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts,” 2022. [Online]. Available: https://arxiv.org/abs/2211.04393.
  87. Paper
    D2
    “Visually Plausible Human-Object Interaction Capture from Wearable Sensors,” 2022. [Online]. Available: https://arxiv.org/abs/2205.02830.
  88. Thesis
    D2IMPR-CS
    “Lifted Edges as Connectivity Priors for Multicut and Disjoint Paths,” Universität des Saarlandes, Saarbrücken, 2022.
  89. Paper
    D2
    “Deep Gradient Learning for Efficient Camouflaged Object Detection,” 2022. [Online]. Available: https://arxiv.org/pdf/2205.12853.pdf.
  90. Paper
    D2
    “MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion Prediction,” 2022. [Online]. Available: https://arxiv.org/abs/2209.10033.
  91. Thesis
    D2IMPR-CS
    “Understanding and Improving Robustness and Uncertainty Estimation in Deep Learning,” Universität des Saarlandes, Saarbrücken, 2022.
  92. Paper
    D2
    “Structured Prediction Problem Archive,” 2022. [Online]. Available: https://arxiv.org/abs/2202.03574.
  93. Paper
    D2
    “On Fragile Features and Batch Normalization in Adversarial Training,” 2022. [Online]. Available: https://arxiv.org/abs/2204.12393.
  94. Paper
    D2
    “Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes,” 2022. [Online]. Available: https://arxiv.org/abs/2208.08621.
  95. Paper
    D2
    “TOCH: Spatio-Temporal Object Correspondence to Hand for Motion Refinement,” 2022. [Online]. Available: https://arxiv.org/abs/2205.07982.
  96. Paper
    D2
    “Hypergraph Transformer for Skeleton-based Action Recognition,” 2022. [Online]. Available: https://arxiv.org/abs/2211.09590.

2021

  1. Conference paper
    D2
    “(SP)2Net for Generalized Zero-Label Semantic Segmentation,” in Pattern Recognition (GCPR 2021), Bonn, Germany, 2022.
  2. Conference paper
    D2
    “Revisiting Consistency Regularization for Semi-supervised Learning,” in Pattern Recognition (GCPR 2021), Bonn, Germany, 2022.
  3. 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.
  4. 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.

2020

  1. Conference paper
    D2
    “CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations,” in xxAI -- Beyond Explainable AI (xxAI @ICML 2020), Vienna, Austria (Virtually), 2022.
  2. Conference paper
    D2
    “CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations,” in xxAI -- Beyond Explainable AI (XXAI @ICML 2020), Vienna, Austria (Virtually), 2022.