Publications

2024

  1. Nikita Tsoy, Nikola Konstantinov.
    Simplicity Bias of Two-Layer Networks beyond Linearly-Separable Data.
    Accepted in: International Conference on Machine Learning (ICML), 2024.
  2. Reni Paskaleva, Mykyta Holubakha, Andela Ilic, Saman Motamed, Luc Van Gool, Danda Paudel.
    A Unified and Interpretable Emotion Representation and Expression Generation.
    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  3. Zongwei Wu, Jilai Zheng, Xiangxuan Ren, Florin-Alexandru Vasluianu, Chao Ma, Danda Paudel, Luc Van Gool, Radu Timofte.
    Single-Model and Any-Modality for Video Object Tracking.
    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  4. Qi Ma, Danda Paudel, Ajad Chhatkuli, Luc Van Gool.
    Continuous Pose for Monocular Cameras in Neural Implicit Representation.
    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  5. Zhicheng Zhang, Junyao Hu, Wentao Cheng, Danda Paudel, Jufeng Yang.
    ExtDM: Dual Distribution Extrapolation Diffusion Model for Video Prediction.
    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  6. Jan-Nico Zaech, Martin Danelljan, Tolga Birdal, Luc Van Gool.
    Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing.
    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  7. Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool.
    Deep Equilibrium Diffusion Restoration with Parallel Sampling.
    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  8. Rui Li, Tobias Fischer,Mattia Segu, Marc Pollefeys, Luc Van Gool, Federico Tombari.
    Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning.
    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  9. Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko.
    HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud.
    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  10. Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segu, Siyuan Li, Luc Van Gool, Fisher Yu.
    UniDepth: Universal Monocular Metric Depth Estimation.
    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  11. Razvan Pasca, Alexey Gavryushin, Muhammad Hamza, Yen-Ling Kuo, Kaichun Mo, Luc Van Gool, Otmar Hilliges, Xi Wang.
    Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation.
    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  12. Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge Belongie.
    Rethinking Few-shot 3D Point Cloud Semantic Segmentation.

    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  13. Diandian Guo, Deng-Ping Fan, Tongyu Lu, Christos Sakaridis, Luc Van Gool.
    Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes.
    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  14. Roman Flepp, Andrey Ignatov, Radu Timofte, Luc Van Gool.
    Real-World Mobile Image Denoising Dataset with Efficient Baselines.
    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  15. Lorenzo Liso, Erik Sandström, Vladimir Yugay, Luc Van Gool, Martin R. Oswald.
    Loopy-SLAM: Dense Neural SLAM with Loop Closures.
    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  16. Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segu, Luc Van Gool, Fisher Yu.
    Matching Anything by Segmenting Anything.
    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  17. Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen, Radu Timofte, Luc Van Gool.
    Equivariant Multi-Modality Image Fusion.
    In: Computer Vision and Pattern Recognition Conference (CVPR), 2024.
  18. Nikita Tsoy, Anna Mihalkova, Teodora Todorova, Nikola Konstantinov.
    Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains
    To appear in: Conference on Artificial Intelligence and Statistics (AISTATS), 2024.
    Camera-ready version coming soon
  19. Kostadin Garov, Dimitar I. Dimitrov, Nikola Jovanović, Martin Vechev
    Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
    To appear in: International Conference on Learning Representations (ICLR), 2024.
    Camera-ready version coming soon
  20. Junru Lin, Asen Nachkov, Songyou Peng, Luc Van Gool, Danda Pani Paudel Ternary-type Opacity and Hybrid Odometry for RGB-only NeRF-SLAM To appear in: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’24)
  21. Saman Motamed, Danda Pani Paudel, Luc Van Gool Lego: Learning to Disentangle and Invert Concepts Beyond Object Appearance in Text-to-Image Diffusion Models To appear in: The European Conference on Computer Vision (ECCV’24)
  22. Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari SILC: Improving Vision Language Pretraining with Self-Distillation To appear in: The European Conference on Computer Vision (ECCV’24)
  23. Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control To appear in: The European Conference on Computer Vision (ECCV’24)
  24. Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance To appear in: The European Conference on Computer Vision (ECCV’24)
  25. Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan MoVideo: Motion-Aware Video Generation with Diffusion Models To appear in: The European Conference on Computer Vision (ECCV’24)
  26. Yuqian Fu, Yu Wang, Yixuan Pan, Lian Huai, Xingyu Qiu, Zeyu Shangguan, Tong Liu, Yanwei Fu, Luc Van Gool, Xingqun Jiang Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector To appear in: The European Conference on Computer Vision (ECCV’24)
  27. Tim Brödermann, David Bruggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, Luc Van Gool MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty To appear in: The European Conference on Computer Vision (ECCV’24)
  28. Daoji Huang, Otmar Hilliges, Luc Van Gool, Xi Wang Palm: Predicting Actions through Language Models @ Ego4D Long-Term Action Anticipation Challenge 2023 To appear in: The European Conference on Computer Vision (ECCV’24)
  29. Anton Alexandrov, Veselin Raychev, Mark Niklas Müller, Ce Zhang, Martin Vechev, Kristina Toutanova Mitigating Catastrophic Forgetting in Language Transfer via Model Merging

2023

  1. Nikola Popovic, Dimitrios Christodoulou, Danda Pani Paudel, Xi Wang, Luc Van Gool.
    Model-aware 3D Eye Gaze from Weak and Few-shot Supervisions.
    In: the International Symposium on Mixed and Augmented Reality (ISMAR), 2023.
  2. Nikola Popovic, Danda Pani Paudel, Thomas Probst, Luc Van Gool.
    Token-Consistent Dropout For Calibrated Vision Transformers.
    In International Conference on Image Processing (ICIP), 2023.
  3. Nikita Tsoy and Nikola Konstantinov.
    Strategic Data Sharing between Competitors.
    In: Conference on Neural Information Processing Systems (NeurIPS), 2023.
  4. Florian E. Dorner, Nikola Konstantinov, Georgi Pashaliev, Martin Vechev.
    Incentivizing Honesty among Competitors in Collaborative Learning and Optimization.
    In: Conference on Neural Information Processing Systems (NeurIPS), 2023.
  5. Evangelos Ntavelis, Aliaksandr Siarohin, Kyle Olszewski, Chaoyang Wang, Luc Van Gool, and Sergey Tulyakov.
    Autodecoding Latent 3D Diffusion Models.
    In: Conference on Neural Information Processing Systems (NeurIPS), 2023.
  6. Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, and Luc Van Gool.
    Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding.
    In: Conference on Neural Information Processing Systems (NeurIPS), 2023.
  7. Haoyu Chen, Hao Tang, Radu Timofte, Luc Van Gool, and Guoying Zhao.
    LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer.
    In: Conference on Neural Information Processing Systems (NeurIPS), 2023.
  8. Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, and Matthew Blaschko.
    Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-Grained Intersection-over-Union.
    In: Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track, 2023.
  9. Maurice Weber, Carlo Siebenschuh, Rory Marshall Butler, Anton Alexandrov, Valdemar Ragnar Thanner, Georgios Tsolakis, Haris Jabbar, Ian Foster, Bo Li, Rick Stevens, Ce Zhang
    WordScape: a Pipeline to Extract Multilingual, Visually Rich Documents with Layout Annotations from Web Crawl Data.
    In: Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track, 2023.
  10. Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cedric Demonceaux, Radu Timofte, Luc Van Gool.
    Source-free Depth for Object Pop-out.
    In: International Conference on Computer Vision (ICCV), 2023.
  11. Nikola Popovic, Danda Pani Paudel, Luc Van Gool.
    Surface Normal Clustering for Implicit Representation of Manhattan Scenes
    In: International Conference on Computer Vision (ICCV), 2023.
  12. Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool.
    Improving Online Lane Graph Extraction by Object-Lane Clustering.
    In: International Conference on Computer Vision (ICCV), 2023.
  13. Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool.
    Deformable Neural Radiance Fields using RGB and Event Cameras.
    In: International Conference on Computer Vision (ICCV), 2023.
  14. Saman Motamed, Jianjin Xu, Chen Henry Wu, Christian Hane, Jean-Charles Bazin, Fernando de la Torre.
    PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face inpainting
    In: International Conference on Computer Vision (ICCV), 2023.

This page only lists papers where INSAIT participates as an institution. For all publications of faculty and students prior to INSAIT, please check their individual INSAIT pages.