Publications
- Nikita Tsoy, Nikola Konstantinov.
Simplicity Bias of Two-Layer Networks beyond Linearly-Separable Data.
Accepted in: International Conference on Machine Learning (ICML), 2024. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - Nikita Tsoy, Anna Mihalkova, Teodora Todorova, Nikola Konstantinov.
Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains
In: Conference on Artificial Intelligence and Statistics (AISTATS), 2024.
Camera-ready version coming soon - Kostadin Garov, Dimitar I. Dimitrov, Nikola Jovanović, Martin Vechev
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
In: International Conference on Learning Representations (ICLR), 2024.
Camera-ready version coming soon - Junru Lin, Asen Nachkov, Songyou Peng, Luc Van Gool, Danda Pani Paudel Ternary-type Opacity and Hybrid Odometry for RGB-only NeRF-SLAM In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’24)
- Saman Motamed, Danda Pani Paudel, Luc Van Gool Lego: Learning to Disentangle and Invert Concepts Beyond Object Appearance in Text-to-Image Diffusion Models In: The European Conference on Computer Vision (ECCV’24)
- Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari SILC: Improving Vision Language Pretraining with Self-Distillation In: The European Conference on Computer Vision (ECCV’24)
- 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 In: The European Conference on Computer Vision (ECCV’24)
- Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance In: The European Conference on Computer Vision (ECCV’24)
- Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan MoVideo: Motion-Aware Video Generation with Diffusion Models In: The European Conference on Computer Vision (ECCV’24)
- 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 In: The European Conference on Computer Vision (ECCV’24)
- 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 In: The European Conference on Computer Vision (ECCV’24)
- Daoji Huang, Otmar Hilliges, Luc Van Gool, Xi Wang Palm: Predicting Actions through Language Models @ Ego4D Long-Term Action Anticipation Challenge 2023 In: The European Conference on Computer Vision (ECCV’24)
- Ada-Astrid Balauca, Danda Pani Paudel, Kristina Toutanova, Luc Van Gool: Taming CLIP for Fine-grained and Structured Visual Understanding of Museum Exhibits In: The European Conference on Computer Vision (ECCV’24)
- Ozan Unal, Christos Sakaridis, Suman Saha, Luc Van Gool: Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding In: The European Conference on Computer Vision (ECCV’24)
- Ozan Unal, Christos Sakaridis, Luc Van Gool: Bayesian Self-Training for Semi-Supervised 3D Segmentation In: The European Conference on Computer Vision (ECCV’24)
- Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool: MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation In: The European Conference on Computer Vision (ECCV’24)
- Siyuan Li, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Segù, Martin Danelljan, Luc Van Gool: SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking In: The European Conference on Computer Vision (ECCV’24)
- Mattia Segu, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele: Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Object Appearance Graphs In: The European Conference on Computer Vision (ECCV’24)
- Anton Alexandrov, Veselin Raychev, Mark Niklas Müller, Ce Zhang, Martin Vechev, Kristina Toutanova Mitigating Catastrophic Forgetting in Language Transfer via Model Merging
- Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool Stereo Risk: A Continuous Modeling Approach to Stereo Matching In: International Conference on Machine Learning (ICML’24)
- Nikita Tsoy, Nikola Konstantinov Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data In: International Conference on Machine Learning (ICML’24)
- Yulun Zhang, Kai Zhang, Luc Van Gool, Martin Danelljan, Fisher Yu Lightweight Image Super-Resolution via Flexible Meta Pruning In: International Conference on Machine Learning (ICML’24)
- Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, Peng Wang, Luc Van Gool Image Fusion via Vision-Language Model In: International Conference on Machine Learning (ICML’24)
2023
- 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. - 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. - Nikita Tsoy and Nikola Konstantinov.
Strategic Data Sharing between Competitors.
In: Conference on Neural Information Processing Systems (NeurIPS), 2023. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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.