Luc Van Gool
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
752
Venues
22
Active years
2020–2026
Best venue rank
A*
Where they publish
- A*CVPR104 papers
- A*ECCV52 papers
- A*ICCV48 papers
- AWACV35 papers
- ABMVC11 papers
- A*ICLR8 papers
- A*AAAI7 papers
- AIROS7 papers
- A*ICML6 papers
- A*ICRA5 papers
- BICPR2 papers
- BACCV2 papers
- AMICCAI2 papers
- BICIP2 papers
- A*IJCAI2 papers
- BACIIDS1 paper
- A*SIGGRAPH1 paper
- CCIARP1 paper
- A*ISMAR1 paper
- NationalMVA1 paper
- UnrankedCoRL1 paper
- AAISTATS1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | EgoCross: Benchmarking Multimodal Large Language Models for Cross-Domain Egocentric Video Question Answering. | Yanjun Li, Yuqian Fu, Tianwen Qian, Qi'ao Xu, Silong Dai, Danda Pani Paudel, Luc Van Gool, Xiaoling Wang |
| 2026 | AAAI | Unlocking Efficient Vehicle Dynamics Modeling via Analytic World Models. | Asen Nachkov, Danda Pani Paudel, Jan-Nico Zaech, Davide Scaramuzza, Luc Van Gool |
| 2026 | AAAI | Autonomous Vehicle Path Planning by Searching with Differentiable Simulation. | Asen Nachkov, Jan-Nico Zaech, Danda Pani Paudel, Xi Wang, Luc Van Gool |
| 2026 | ACIIDS | Shapley Pruning for Interpretable Neural Network Compression. | Kamil Adamczewski, Joanna Kaczmarek, Yawei Li, Michele Magno, Luc Van Gool |
| 2026 | ICPR | Accelerating Vision Foundation Models with Drop-in Depthwise Convolution. | Carmelo Scribano, Mohammad Mahdi, Nedyalko Prisadnikov, Yuqian Fu, Giorgia Franchini, Danda Pani Paudel, Marko Bertogna, Luc Van Gool |
| 2026 | WACV | Optimizing against Infeasible Inclusions from Data for Semantic Segmentation through Morphology. | Shamik Basu, Luc Van Gool, Christos Sakaridis |
| 2026 | WACV | Any Detector Can Detect Anything. | Thomas E. Huang, Siyuan Li, Martin Danelljan, Henghui Ding, Luc Van Gool, Fisher Yu |
| 2025 | AAAI | Learning to Prompt with Text Only Supervision for Vision-Language Models. | Muhammad Uzair Khattak, Muhammad Ferjad Naeem, Muzammal Naseer, Luc Van Gool, Federico Tombari |
| 2025 | AAAI | Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community. | Jiancheng Pan, Yanxing Liu, Yuqian Fu, Muyuan Ma, Jiahao Li, Danda Pani Paudel, Luc Van Gool, Xiaomeng Huang |
| 2025 | CVPR | NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results. | Lei Sun, Andrea Alfarano, Peiqi Duan, Shaolin Su, Kaiwei Wang, Boxin Shi, Radu Timofte, Danda Pani Paudel, Luc Van Gool, Qinglin Liu, Wei Yu, Xiaoqian Lv, Lu Yang, Shuigen Wang, Shengping Zhang, Xiangyang Ji, Long Bao, Yuqiang Yang, Jinao Song, Ziyi Wang, Shuang Wen, Heng Sun, Kean Liu, Mingchen Zhong, Senyan Xu, Zhijing Sun, Jiaying Zhu, Chengjie Ge, Xingbo Wang, Yidi Liu, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Dawei Fan, Dafeng Zhang, Yong Yang, Siru Zhang, Qinghua Yang, Hao Kang, Huiyuan Fu, Heng Zhang, Hongyuan Yu, Zhijuan Huang, Shouyan Wei, Feng Li, Runmin Cong, Weiqi Luo, Mingyun Lin, Chenxu Jiang, Hongyi Liu, Lei Yu, Weilun Li, Jiajun Zhai, Tingting Lin, Shuang Ma, Sai Zhou, Zhanwen Liu, Yang Wang, Eiffel Chong, Nuwan Bandara, Thivya Kandappu, Archan Misra, Yihang Chen, Zhan Li, Weijun Yuan, Wenzhuo Wang, Boyang Yao, Zhanglu Chen, Yijing Sun, Tianjiao Wan, Zijian Gao, Qisheng Xu, Kele Xu, Yukun Zhang, Yu He, Xiaoyan Xie, Tao Fu, Yashu Guatamkumar Patel, Vihar Ramesh Jain, Divesh Basina, Rishik Ashili, Manish Kumar Manjhi, Sourav Kumar, Prinon Benny, Himanshu Ghunawat, B. Sri Sairam Gautam, Anett Varghese, Abhishek Yadav |
| 2025 | CVPR | The Tenth NTIRE 2025 Image Denoising Challenge Report. | Lei Sun, Hang Guo, Bin Ren, Luc Van Gool, Radu Timofte, Yawei Li |
| 2025 | CVPR | NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results. | Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu, Radu Timofte, Nicu Sebe, Ming-Hsuan Yang, Luc Van Gool, Kaijin Zhang, Qingpeng Nong, Xiugang Dong, Hong Gao, Xiangsheng Zhou, Jiancheng Pan, Yanxing Liu, Xiao He, Jiahao Li, Yuze Sun, Xiaomeng Huang, Zhenyu Zhang, Ran Ma, Yuhan Liu, Zijian Zhuang, Shuai Yi, Yixiong Zou, Lingyi Hong, Mingxi Chen, Runze Li, Xingdong Sheng, Wenqiang Zhang, Weisen Chen, Yongxin Yan, Xinguo Chen, Yuanjie Shao, Zhengrong Zuo, Nong Sang, Hao Wu, Haoran Sun, Shuming Hu, Yan Zhang, Zhiguang Shi, Yu Zhang, Chao Chen, Tao Wang, Da Feng, Linhai Zhuo, Ziming Lin, Yali Huang, Jie Me, Yiming Yang, Mi Guo, Mingyuan Jiu, Mingliang Xu, Maomao Xiong, Qunshu Zhang, Xinyu Cao, Yuqing Yang, Dianmo Sheng, Xuanpu Zhao, Zhiyu Li, Xuyang Ding, Wenqian Li |
| 2025 | CVPR | Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness. | Chenfei Liao, Kaiyu Lei, Xu Zheng, Junha Moon, Zhixiong Wang, Yixuan Wang, Danda Pani Paudel, Luc Van Gool, Xuming Hu |
| 2025 | CVPR | One2Any: One-Reference 6D Pose Estimation for Any Object. | Mengya Liu, Siyuan Li, Ajad Chhatkuli, Prune Truong, Luc Van Gool, Federico Tombari |
| 2025 | CVPR | Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object Shapes. | Nicola Marinello, Simen Cassiman, Jonas Heylen, Marc Proesmans, Luc Van Gool |
| 2025 | CVPR | MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures. | Lucas Morin, Valry Weber, Ahmed Nassar, Gerhard Ingmar Meijer, Luc Van Gool, Yawei Li, Peter W. J. Staar |
| 2025 | CVPR | UniK3D: Universal Camera Monocular 3D Estimation. | Luigi Piccinelli, Christos Sakaridis, Mattia Seg, Yung-Hsu Yang, Siyuan Li, Wim Abbeloos, Luc Van Gool |
| 2025 | CVPR | Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians. | Erik Sandstrm, Ganlin Zhang, Keisuke Tateno, Michael Oechsle, Michael Niemeyer, Youmin Zhang, Manthan Patel, Luc Van Gool, Martin R. Oswald, Federico Tombari |
| 2025 | CVPR | Exploration-Driven Generative Interactive Environments. | Nedko Savov, Naser Kazemi, Mohammad Mahdi, Danda Pani Paudel, Xi Wang, Luc Van Gool |
| 2025 | CVPR | PBR-NeRF: Inverse Rendering with Physics-Based Neural Fields. | Sean Wu, Shamik Basu, Tim Broedermann, Luc Van Gool, Christos Sakaridis |
| 2025 | ICCV | Understanding Museum Exhibits using Vision-Language Reasoning. | Ada-Astrid Balauca, Sanjana Garai, Stefan Balauca, Rasesh Udayakumar Shetty, Naitik Agrawal, Dhwanil Subhashbhai Shah, Yuqian Fu, Xi Wang, Kristina Toutanova, Danda Pani Paudel, Luc Van Gool |
| 2025 | ICCV | ObjectRelator: Enabling Cross-View Object Relation Understanding Across Ego-Centric and Exo-Centric Perspectives. | Yuqian Fu, Runze Wang, Bin Ren, Guolei Sun, Biao Gong, Yanwei Fu, Danda Pani Paudel, Xuanjing Huang, Luc Van Gool |
| 2025 | ICCV | Articulate3D: Holistic Understanding of 3D Scenes as Universal Scene Description. | Anna-Maria Halacheva, Yang Miao, Jan-Nico Zaech, Xi Wang, Luc Van Gool, Danda Pani Paudel |
| 2025 | ICCV | SceneSplat: Gaussian Splatting-Based Scene Understanding with Vision-Language Pretraining. | Yue Li, Qi Ma, Runyi Yang, Huapeng Li, Mengjiao Ma, Bin Ren, Nikola Popovic, Nicu Sebe, Ender Konukoglu, Theo Gevers, Luc Van Gool, Martin R. Oswald, Danda Pani Paudel |
| 2025 | ICCV | Incremental Object Detection with Prompt-Based Methods. | Matthias Neuwirth-Trapp, Maarten Bieshaar, Danda Pani Paudel, Luc Van Gool |
| 2025 | ICCV | MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning. | Mattia Seg, Marta Tintore Gazulla, Yongqin Xian, Luc Van Gool, Federico Tombari |
| 2025 | ICCV | Low-Light Image Enhancement Using Event-Based Illumination Estimation. | Lei Sun, Yuhan Bao, Jiajun Zhai, Jingyun Liang, Yulun Zhang, Kaiwei Wang, Danda Pani Paudel, Luc Van Gool |
| 2025 | ICCV | What You Have is What You Track: Adaptive and Robust Multimodal Tracking. | Yuedong Tan, Jiawei Shao, Eduard Zamfir, Ruanjun Li, Zhaochong An, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte, Zongwei Wu |
| 2025 | ICCV | XTrack: Multimodal Training Boosts RGB-X Video Object Trackers. | Yuedong Tan, Zongwei Wu, Yuqian Fu, Zhuyun Zhou, Guolei Sun, Eduard Zamfir, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte |
| 2025 | ICCV | MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook. | Peng Xu, Shengwu Xiong, Jiajun Zhang, Yaxiong Chen, Bowen Zhou, Chen Change Loy, David A. Clifton, Kyoung Mu Lee, Luc Van Gool, Ruiming He, Ruilin Yao, Xinwei Long, Jirui Huang, Kai Tian, Sa Yangbcd, Yihua Shao, Jin Feng, Yue Zhong, Jiakai Zhou, Cheng Tang, Tianyu Zou, Yifang Zhang, Junming Liang, Guoyou Li, Zhaoxiang Wang, Qiang Zhou, Yichen Zhao, Shili Xiong, Hyeongjin Nam, Jaerin Lee, Jaeyoung Chung, JoonKyu Park, Junghun Oh, Kanggeon Lee, Wooseok Lee, Juneyoung Ro, Turghun Osman, Can Hu, Chaoyang Liao, Cheng Chen, Chengcheng Han, Chenhao Qiu, Chong Peng, Cong Xu, Dailin Li, Feiyu Wang, Feng Gao, Guibo Zhu, Guopeng Tang, Haibo Lu, Han Fang, Han Qi, Hanxiao Wu, Haobo Cheng, Hongbo Sun, Hongyao Chen, Huayong Hu, Hui Lid, Jiaheng Ma, Jiang Yu, Jianing Wang, Jie Yang, Jing He, Jinglin Zhou, Jingxuan Li, Josef Kittler, Lihao Zheng, Linnan Zhao, Mengxi Jia, Muyang Yan, Nguyen Thanh Thien, Pu Luo, Qi Li, Shien Song, Shijie Dong, Shuai Shao, Shutao Li, Taofeng Xue, Tianyang Xu, Tianyi Gao, Tingting Li, Wei Zhang, Weiyang Su, Xiaodong Dong, Xiao-Jun Wu, Xiaopeng Zhou, Xin Chen, Xin Wei, Xinyi You, Xudong Kang, Xujie Zhou, Xusheng Liu, Yanan Wang, Yanbin Huang, Yang Liu, Yang Yang, Yanglin Deng, Yashu Kang, Ye Yuan, Yi Wen, Yicen Tian, Yilin Tao, Yin Tang, Yipeng Lin, Yiqing Wang, Yiting Xi, Yongkang Yu, Yumei Li, Yuxin Qin, Yuying Chen, Yuzhe Cen, Zhaofan Zou, Zhaohong Liu, Zhehao Shen, Zhenglin Du, Zhengyang Li, Zhenni Huang, Zhenwei Shao, Zhilong Song, Zhiyong Feng, Zhiyu Wang, Zhou Yu, Ziang Li, Zihan Zhai, Zijian Zhang, Ziyang Peng, Ziyun Xiao, Zongshu Li |
| 2025 | ICCV | Reducing Unimodal Bias in Multi-Modal Semantic Segmentation With Multi-Scale Functional Entropy Regularization. | Xu Zheng, Yuanhuiyi Lyu, Lutao Jiang, Danda Pani Paudel, Luc Van Gool, Xuming Hu |
| 2025 | ICLR | Leveraging Driver Field-of-View for Multimodal Ego-Trajectory Prediction. | M. Eren Akbiyik, Nedko Savov, Danda Pani Paudel, Nikola Popovic, Christian Vater, Otmar Hilliges, Luc Van Gool, Xi Wang |
| 2025 | ICLR | Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking. | Mattia Seg, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Luc Van Gool, Bernt Schiele |
| 2025 | ICRA | ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models. | Sombit Dey, Jan-Nico Zaech, Nikolay Nikolov, Luc Van Gool, Danda Pani Paudel |
| 2025 | IROS | Autonomous Vehicle Controllers From End-to-End Differentiable Simulation. | Asen Nachkov, Danda Pani Paudel, Luc Van Gool |
| 2025 | WACV | Model Weights Reflect a Continuous Space of Input Image Domains. | Simen Cassiman, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool |
| 2025 | WACV | Fine-Grained Spatial and Verbal Losses for 3D Visual Grounding. | Sombit Dey, Ozan Unal, Christos Sakaridis, Luc Van Gool |
| 2025 | WACV | Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation. | Elham Amin Mansour, Ozan Unal, Suman Saha, Benjamn Bjar, Luc Van Gool |
| 2025 | WACV | Diffusion-Based Particle-DETR for BEV Perception. | Asen Nachkov, Danda Pani Paudel, Martin Danelljan, Luc Van Gool |
| 2025 | WACV | Sun Off, Lights on: Photorealistic Monocular Nighttime Simulation for Robust Semantic Perception. | Konstantinos Tzevelekakis, Shutong Zhang, Luc Van Gool, Christos Sakaridis |
| 2024 | ACCV | Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-supervised Learning. | Bin Ren, Guofeng Mei, Danda Pani Paudel, Weijie Wang, Yawei Li, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe |
| 2024 | BMVC | Prompting Diffusion Representations for Cross-Domain Semantic Segmentation. | Rui Gong, Martin Danelljan, Han Sun, Julio Delgado Mangas, Nikolay Marin, Luc Van Gool |
| 2024 | CVPR | Rethinking Few-shot 3D Point Cloud Semantic Segmentation. | Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge J. Belongie |
| 2024 | CVPR | Deep Equilibrium Diffusion Restoration with Parallel Sampling. | Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool |
| 2024 | CVPR | HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. | Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko |
| 2024 | CVPR | Real-World Mobile Image Denoising Dataset with Efficient Baselines. | Roman Flepp, Andrey Ignatov, Radu Timofte, Luc Van Gool |
| 2024 | CVPR | Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes. | Diandian Guo, Deng-Ping Fan, Tongyu Lu, Christos Sakaridis, Luc Van Gool |
| 2024 | CVPR | Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning. | Rui Li, Tobias Fischer, Mattia Seg, Marc Pollefeys, Luc Van Gool, Federico Tombari |
| 2024 | CVPR | Matching Anything by Segmenting Anything. | Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Seg, Luc Van Gool, Fisher Yu |
| 2024 | CVPR | Loopy-SLAM: Dense Neural SLAM with Loop Closures. | Lorenzo Liso, Erik Sandstrm, Vladimir Yugay, Luc Van Gool, Martin R. Oswald |
| 2024 | CVPR | Continuous Pose for Monocular Cameras in Neural Implicit Representation. | Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool |
| 2024 | CVPR | Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models. | Saman Motamed, Wouter Van Gansbeke, Luc Van Gool |
| 2024 | CVPR | Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation. | Razvan-George Pasca, Alexey Gavryushin, Muhammad Hamza, Yen-Ling Kuo, Kaichun Mo, Luc Van Gool, Otmar Hilliges, Xi Wang |
| 2024 | CVPR | A Unified and Interpretable Emotion Representation and Expression Generation. | Reni Paskaleva, Mykyta Holubakha, Andela Ilic, Saman Motamed, Luc Van Gool, Danda Pani Paudel |
| 2024 | CVPR | UniDepth: Universal Monocular Metric Depth Estimation. | Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Seg, Siyuan Li, Luc Van Gool, Fisher Yu |
| 2024 | CVPR | Towards Online Real-Time Memory-based Video Inpainting Transformers. | Guillaume Thiry, Hao Tang, Radu Timofte, Luc Van Gool |
| 2024 | CVPR | Single-Model and Any-Modality for Video Object Tracking. | Zongwei Wu, Jilai Zheng, Xiangxuan Ren, Florin-Alexandru Vasluianu, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte |
| 2024 | CVPR | Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing. | Jan-Nico Zaech, Martin Danelljan, Tolga Birdal, Luc Van Gool |
| 2024 | CVPR | Equivariant Multi-Modality Image Fusion. | Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen, Radu Timofte, Luc Van Gool |
| 2024 | ECCV | Taming CLIP for Fine-Grained and Structured Visual Understanding of Museum Exhibits. | Ada-Astrid Balauca, Danda Pani Paudel, Kristina Toutanova, Luc Van Gool |
| 2024 | ECCV | MUSES: The Multi-sensor Semantic Perception Dataset for Driving Under Uncertainty. | Tim Brdermann, David Brggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, Luc Van Gool |
| 2024 | ECCV | I-Design: Personalized LLM Interior Designer. | Ata elen, Guo Han, Konrad Schindler, Luc Van Gool, Iro Armeni, Anton Obukhov, Xi Wang |
| 2024 | ECCV | Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector. | Yuqian Fu, Yu Wang, Yixuan Pan, Lian Huai, Xingyu Qiu, Zeyu Shangguan, Tong Liu, Yanwei Fu, Luc Van Gool, Xingqun Jiang |
| 2024 | ECCV | ROMEO: Revisiting Optimization Methods for Reconstructing 3D Human-Object Interaction Models From Images. | Alexey Gavryushin, Yifei Liu, Daoji Huang, Yen-Ling Kuo, Julien Valentin, Luc Van Gool, Otmar Hilliges, Xi Wang |
| 2024 | ECCV | SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance. | Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari |
| 2024 | ECCV | DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control. | Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov |
| 2024 | ECCV | PALM: Predicting Actions through Language Models. | Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang |
| 2024 | ECCV | MoVideo: Motion-Aware Video Generation with Diffusion Model. | Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan |
| 2024 | ECCV | SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking. | Siyuan Li, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Seg, Martin Danelljan, Luc Van Gool |
| 2024 | ECCV | Self-supervised Shape Completion via Involution and Implicit Correspondences. | Mengya Liu, Ajad Chhatkuli, Janis Postels, Luc Van Gool, Federico Tombari |
| 2024 | ECCV | Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models. | Saman Motamed, Danda Pani Paudel, Luc Van Gool |
| 2024 | ECCV | SILC: Improving Vision Language Pretraining with Self-distillation. | Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari |
| 2024 | ECCV | Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs. | Mattia Seg, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele |
| 2024 | ECCV | Bayesian Self-training for Semi-supervised 3D Segmentation. | Ozan Unal, Christos Sakaridis, Luc Van Gool |
| 2024 | ECCV | Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding. | Ozan Unal, Christos Sakaridis, Suman Saha, Luc Van Gool |
| 2024 | ECCV | The BRAVO Semantic Segmentation Challenge Results in UNCV2024. | Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Toms Vojr, Jan Sochman, Jir Matas, Michael Smith, Frank P. Ferrie, Shamik Basu, Christos Sakaridis, Luc Van Gool |
| 2024 | ECCV | MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. | Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taix, Marc Pollefeys, Daniel Cremers, Luc Van Gool |
| 2024 | ICML | Stereo Risk: A Continuous Modeling Approach to Stereo Matching. | Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool |
| 2024 | ICML | Lightweight Image Super-Resolution via Flexible Meta Pruning. | Yulun Zhang, Kai Zhang, Luc Van Gool, Martin Danelljan, Fisher Yu |
| 2024 | ICML | Image Fusion via Vision-Language Model. | Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, Peng Wang, Luc Van Gool |
| 2024 | IROS | Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM. | Junru Lin, Asen Nachkov, Songyou Peng, Luc Van Gool, Danda Pani Paudel |
| 2024 | IROS | Event-Free Moving Object Segmentation from Moving Ego Vehicle. | Zhuyun Zhou, Zongwei Wu, Danda Pani Paudel, Rmi Boutteau, Fan Yang, Luc Van Gool, Radu Timofte, Dominique Ginhac |
| 2024 | MICCAI | Video Foundation Model for Medical 3D Segmentation. | Qi Ma, Guolei Sun, Gney Isik Tombak, Shipra Jain, Niko Benjamin Huber, Luc Van Gool, Ender Konukoglu |
| 2024 | SIGGRAPH | Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar. | David Borts, Erich Liang, Tim Broedermann, Andrea Ramazzina, Stefanie Walz, Edoardo Palladin, Jipeng Sun, David Brggemann, Christos Sakaridis, Luc Van Gool, Mario Bijelic, Felix Heide |
| 2024 | WACV | Beyond SOT: Tracking Multiple Generic Objects at Once. | Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova |
| 2024 | WACV | Optimizing Long-Term Robot Tracking with Multi-Platform Sensor Fusion. | Giuliano Albanese, Arka Mitra, Jan-Nico Zaech, Yupeng Zhao, Ajad Chhatkuli, Luc Van Gool |
| 2024 | WACV | MS-EVS: Multispectral event-based vision for deep learning based face detection. | Saad Himmi, Vincent Parret, Ajad Chhatkuli, Luc Van Gool |
| 2024 | WACV | StyleGenes: Discrete and Efficient Latent Distributions for GANs. | Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Martin Danelljan, Luc Van Gool |
| 2024 | WACV | Contrastive Learning for Multi-Object Tracking with Transformers. | Pierre-Franois De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool |
| 2024 | WACV | 2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. | Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool |
| 2023 | BMVC | Breathing New Life into 3D Assets with Generative Repainting. | Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov |
| 2023 | BMVC | Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation. | Zhaochong An, Guolei Sun, Zongwei Wu, Hao Tang, Luc Van Gool |
| 2023 | CIARP | Replay-Based Online Adaptation for Unsupervised Deep Visual Odometry. | Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool |
| 2023 | CVPR | Graph Transformer GANs for Graph-Constrained House Generation. | Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool |
| 2023 | CVPR | CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. | Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool |
| 2023 | CVPR | Quantum Annealing for Single Image Super-Resolution. | Han Yao Choong, Suryansh Kumar, Luc Van Gool |
| 2023 | CVPR | Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations. | Rui Gong, Qin Wang, Martin Danelljan, Dengxin Dai, Luc Van Gool |
| 2023 | CVPR | MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. | Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool |
| 2023 | CVPR | Enhanced Stable View Synthesis. | Nishant Jain, Suryansh Kumar, Luc Van Gool |
| 2023 | CVPR | ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization. | Menelaos Kanakis, Simon Maurer, Matteo Spallanzani, Ajad Chhatkuli, Luc Van Gool |
| 2023 | CVPR | Efficient and Explicit Modelling of Image Hierarchies for Image Restoration. | Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool |
| 2023 | CVPR | Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. | Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool |
| 2023 | CVPR | LSDIR: A Large Scale Dataset for Image Restoration. | Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool |
| 2023 | CVPR | NTIRE 2023 Challenge on Image Denoising: Methods and Results. | Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang |
| 2023 | CVPR | NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. | Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang |
| 2023 | CVPR | Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration. | Guofeng Mei, Hao Tang, Xiaoshui Huang, Weijie Wang, Juan Liu, Jian Zhang, Luc Van Gool, Qiang Wu |
| 2023 | CVPR | I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. | Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari |
| 2023 | CVPR | Unbalanced Optimal Transport: A Unified Framework for Object Detection. | Henri De Plaen, Pierre-Franois De Plaen, Johan A. K. Suykens, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool |
| 2023 | CVPR | Indiscernible Object Counting in Underwater Scenes. | Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc Van Gool |
| 2023 | CVPR | Event-Based Frame Interpolation with Ad-hoc Deblurring. | Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Kai Zhang, Jiezhang Cao, Qi Jiang, Kaiwei Wang, Luc Van Gool |
| 2023 | CVPR | Structured Sparsity Learning for Efficient Video Super-Resolution. | Bin Xia, Jingwen He, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Luc Van Gool |
| 2023 | CVPR | SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders. | Qingsen Yan, Song Zhang, Weiye Chen, Hao Tang, Yu Zhu, Jinqiu Sun, Luc Van Gool, Yanning Zhang |
| 2023 | CVPR | CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. | Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool |
| 2023 | CVPR | Denoising Diffusion Models for Plug-and-Play Image Restoration. | Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool |
| 2023 | ICCV | EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. | Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool |
| 2023 | ICCV | Self-Supervised Burst Super-Resolution. | Goutam Bhat, Michal Gharbi, Jiawen Chen, Luc Van Gool, Zhihao Xia |
| 2023 | ICCV | Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation. | David Brggemann, Christos Sakaridis, Tim Brdermann, Luc Van Gool |
| 2023 | ICCV | DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models. | Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein |
| 2023 | ICCV | Improving Online Lane Graph Extraction by Object-Lane Clustering. | Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool |
| 2023 | ICCV | Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. | Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu |
| 2023 | ICCV | Introducing Language Guidance in Prompt-based Continual Learning. | Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Didier Stricker, Federico Tombari, Muhammad Zeshan Afzal |
| 2023 | ICCV | Deformable Neural Radiance Fields using RGB and Event Cameras. | Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool |
| 2023 | ICCV | Surface Normal Clustering for Implicit Representation of Manhattan Scenes. | Nikola Popovic, Danda Pani Paudel, Luc Van Gool |
| 2023 | ICCV | Point-SLAM: Dense Neural Point Cloud-based SLAM. | Erik Sandstrm, Yue Li, Luc Van Gool, Martin R. Oswald |
| 2023 | ICCV | Dreamwalker: Mental Planning for Continuous Vision-Language Navigation. | Hanqing Wang, Wei Liang, Luc Van Gool, Wenguan Wang |
| 2023 | ICCV | Source-free Depth for Object Pop-out. | Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cdric Demonceaux, Radu Timofte, Luc Van Gool |
| 2023 | ICCV | DiffIR: Efficient Diffusion Model for Image Restoration. | Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool |
| 2023 | ICCV | Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. | Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool |
| 2023 | ICCV | DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. | Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool |
| 2023 | ICIP | Token-Consistent Dropout For Calibrated Vision Transformers. | Nikola Popovic, Danda Pani Paudel, Thomas Probst, Luc Van Gool |
| 2023 | ICLR | Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis. | Hao Tang, Xiaojuan Qi, Guolei Sun, Dan Xu, Nicu Sebe, Radu Timofte, Luc Van Gool |
| 2023 | ICLR | VA-DepthNet: A Variational Approach to Single Image Depth Prediction. | Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool |
| 2023 | ICLR | Basic Binary Convolution Unit for Binarized Image Restoration Network. | Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool |
| 2023 | ICLR | Knowledge Distillation based Degradation Estimation for Blind Super-Resolution. | Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool |
| 2023 | IROS | A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. | Nick Bhrer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool |
| 2023 | IROS | LocalViT: Analyzing Locality in Vision Transformers. | Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Michele Magno, Luca Benini, Luc Van Gool |
| 2023 | ICRA | L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras. | Kevin Ta, David Brggemann, Tim Brdermann, Christos Sakaridis, Luc Van Gool |
| 2023 | ICRA | TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. | Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool |
| 2023 | ISMAR | Model-aware 3D Eye Gaze from Weak and Few-shot Supervisions. | Nikola Popovic, Dimitrios Christodoulou, Danda Pani Paudel, Xi Wang, Luc Van Gool |
| 2023 | MICCAI | MultiVT: Multiple-Task Framework for Dentistry. | Edoardo Mello Rella, Ajad Chhatkuli, Ender Konukoglu, Luc Van Gool |
| 2023 | MVA | Padding Investigations for CNNs in Scene Parsing Tasks. | Yu-Hui Huang, Marc Proesmans, Luc Van Gool |
| 2023 | WACV | Efficient Visual Tracking with Exemplar Transformers. | Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool |
| 2023 | WACV | Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions. | David Brggemann, Christos Sakaridis, Prune Truong, Luc Van Gool |
| 2023 | WACV | Fast Online Video Super-Resolution with Deformable Attention Pyramid. | Dario Fuoli, Martin Danelljan, Radu Timofte, Luc Van Gool |
| 2023 | WACV | Barlow constrained optimization for Visual Question Answering. | Abhishek Jha, Badri N. Patro, Luc Van Gool, Tinne Tuytelaars |
| 2023 | WACV | Composite Learning for Robust and Effective Dense Predictions. | Menelaos Kanakis, Thomas E. Huang, David Brggemann, Fisher Yu, Luc Van Gool |
| 2023 | WACV | Multi-View Photometric Stereo Revisited. | Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool |
| 2023 | WACV | Learning Attention Propagation for Compositional Zero-Shot Learning. | Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal |
| 2023 | WACV | Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging. | Ke Li, Dengxin Dai, Luc Van Gool |
| 2023 | WACV | A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials. | Chuqiao Li, Zhiwu Huang, Danda Pani Paudel, Yabin Wang, Mohamad Shahbazi, Xiaopeng Hong, Luc Van Gool |
| 2023 | WACV | Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action Detection. | Yifan Lu, Gurkirt Singh, Suman Saha, Luc Van Gool |
| 2023 | WACV | Spatially Multi-conditional Image Generation. | Nikola Popovic, Ritika Chakraborty, Danda Pani Paudel, Thomas Probst, Luc Van Gool |
| 2023 | WACV | Spatio-Temporal Action Detection Under Large Motion. | Gurkirt Singh, Vasileios Choutas, Suman Saha, Fisher Yu, Luc Van Gool |
| 2022 | ACCV | Training Dynamics Aware Neural Network Optimization with Stabilization. | Zilin Fang, Mohamad Shahbazi, Thomas Probst, Danda Pani Paudel, Luc Van Gool |
| 2022 | BMVC | End-to-End Learning of Multi-category 3D Pose and Shape Estimation. | Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool |
| 2022 | BMVC | Robustifying the Multi-Scale Representation of Neural Radiance Fields. | Nishant Jain, Suryansh Kumar, Luc Van Gool |
| 2022 | BMVC | AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. | Mubashir Noman, Wafa Al Ghallabi, Daniya Kareem, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan |
| 2022 | BMVC | SiNeRF: Sinusoidal Neural Radiance Fields for Joint Pose Estimation and Scene Reconstruction. | Yitong Xia, Hao Tang, Radu Timofte, Luc Van Gool |
| 2022 | CoRL | Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. | Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool |
| 2022 | CVPR | Transforming Model Prediction for Tracking. | Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool |
| 2022 | CVPR | Continual Test-Time Domain Adaptation. | Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai |
| 2022 | CVPR | NTIRE 2022 Spectral Recovery Challenge and Data Set. | Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabari Nathan, K. Uma, B. Sathya Bama, S. Mohamed Mansoor Roomi |
| 2022 | CVPR | Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. | Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool |
| 2022 | CVPR | MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. | Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool |
| 2022 | CVPR | Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation. | Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool |
| 2022 | CVPR | Topology Preserving Local Road Network Estimation from Single Onboard Camera Image. | Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool |
| 2022 | CVPR | LiDAR Snowfall Simulation for Robust 3D Object Detection. | Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool |
| 2022 | CVPR | DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. | Lukas Hoyer, Dengxin Dai, Luc Van Gool |
| 2022 | CVPR | HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. | Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool |
| 2022 | CVPR | Uncertainty-Aware Deep Multi-View Photometric Stereo. | Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool |
| 2022 | CVPR | MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation. | Wenhao Li, Hong Liu, Hao Tang, Pichao Wang, Luc Van Gool |
| 2022 | CVPR | Revisiting Random Channel Pruning for Neural Network Compression. | Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool |
| 2022 | CVPR | NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. | Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang |
| 2022 | CVPR | RePaint: Inpainting using Denoising Diffusion Probabilistic Models. | Andreas Lugmayr, Martin Danelljan, Andrs Romero, Fisher Yu, Radu Timofte, Luc Van Gool |
| 2022 | CVPR | TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM. | Nicola Marinello, Marc Proesmans, Luc Van Gool |
| 2022 | CVPR | Arbitrary-Scale Image Synthesis. | Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool |
| 2022 | CVPR | P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior. | Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool |
| 2022 | CVPR | Unpaired Real-World Super-Resolution with Pseudo Controllable Restoration. | Andrs Romero, Luc Van Gool, Radu Timofte |
| 2022 | CVPR | Generative Flows with Invertible Attentions. | Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool |
| 2022 | CVPR | Coarse-to-Fine Feature Mining for Video Semantic Segmentation. | Guolei Sun, Yun Liu, Henghui Ding, Thomas Probst, Luc Van Gool |
| 2022 | CVPR | SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. | Tao Sun, Mattia Seg, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu |
| 2022 | CVPR | Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences. | Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool |
| 2022 | CVPR | Scribble-Supervised LiDAR Semantic Segmentation. | Ozan Unal, Dengxin Dai, Luc Van Gool |
| 2022 | CVPR | Sound and Visual Representation Learning with Multiple Pretraining Tasks. | Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool |
| 2022 | CVPR | Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation. | Hanqing Wang, Wei Liang, Jianbing Shen, Luc Van Gool, Wenguan Wang |
| 2022 | CVPR | Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model. | Zipeng Xu, Tianwei Lin, Hao Tang, Fu Li, Dongliang He, Nicu Sebe, Radu Timofte, Luc Van Gool, Errui Ding |
| 2022 | CVPR | Adiabatic Quantum Computing for Multi Object Tracking. | Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool |
| 2022 | CVPR | Rethinking Semantic Segmentation: A Prototype View. | Tianfei Zhou, Wenguan Wang, Ender Konukoglu, Luc Van Gool |
| 2022 | ECCV | Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. | Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool |
| 2022 | ECCV | Reference-Based Image Super-Resolution with Deformable Attention Transformer. | Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool |
| 2022 | ECCV | Towards Interpretable Video Super-Resolution via Alternating Optimization. | Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool |
| 2022 | ECCV | TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation. | Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool |
| 2022 | ECCV | Style Adaptive Semantic Image Editing with Transformers. | Edward Gnther, Rui Gong, Luc Van Gool |
| 2022 | ECCV | HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. | Lukas Hoyer, Dengxin Dai, Luc Van Gool |
| 2022 | ECCV | MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. | Andrey Ignatov, Anastasia Sycheva, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool |
| 2022 | ECCV | The Tenth Visual Object Tracking VOT2022 Challenge Results. | Matej Kristan, Ales Leonardis, Jir Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kmrinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Bjrklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernndez, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Sai S. Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Jremo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang |
| 2022 | ECCV | Organic Priors in Non-rigid Structure from Motion. | Suryansh Kumar, Luc Van Gool |
| 2022 | ECCV | 3D Compositional Zero-Shot Learning with DeCompositional Consensus. | Muhammad Ferjad Naeem, Evin Pinar rnek, Yongqin Xian, Luc Van Gool, Federico Tombari |
| 2022 | ECCV | Robust Visual Tracking by Segmentation. | Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool |
| 2022 | ECCV | OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers. | Jialun Pei, Tianyang Cheng, Deng-Ping Fan, He Tang, Chuanbo Chen, Luc Van Gool |
| 2022 | ECCV | Highly Accurate Dichotomous Image Segmentation. | Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool |
| 2022 | ECCV | Learning Online Multi-sensor Depth Fusion. | Erik Sandstrm, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool |
| 2022 | ECCV | Implicit Neural Representations for Image Compression. | Yannick Strmpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari |
| 2022 | ECCV | Mining Relations Among Cross-Frame Affinities for Video Semantic Segmentation. | Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang, Luc Van Gool |
| 2022 | ECCV | Event-Based Fusion for Motion Deblurring with Cross-modal Attention. | Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool |
| 2022 | ECCV | Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild. | Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool |
| 2022 | ICLR | Zero Pixel Directional Boundary by Vector Transform. | Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool |
| 2022 | ICLR | Collapse by Conditioning: Training Class-conditional GANs with Limited Data. | Mohamad Shahbazi, Martin Danelljan, Danda Pani Paudel, Luc Van Gool |
| 2022 | ICML | Flow-Guided Sparse Transformer for Video Deblurring. | Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool |
| 2022 | ICML | Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration. | Jing Lin, Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool |
| 2022 | ICML | On the Practicality of Deterministic Epistemic Uncertainty. | Janis Postels, Mattia Seg, Tao Sun, Luca Daniel Sieber, Luc Van Gool, Fisher Yu, Federico Tombari |
| 2022 | ICPR | PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks. | Andrey Ignatov, Grigory Malivenko, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool |
| 2022 | IJCAI | Perceptual Learned Video Compression with Recurrent Conditional GAN. | Ren Yang, Radu Timofte, Luc Van Gool |
| 2022 | WACV | Unsupervised Robust Domain Adaptation without Source Data. | Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech, Luc Van Gool |
| 2022 | WACV | Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. | Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool |
| 2022 | WACV | Towards Unsupervised Online Domain Adaptation for Semantic Segmentation. | Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool |
| 2022 | WACV | Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task. | Ke Li, Dengxin Dai, Luc Van Gool |
| 2022 | WACV | Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. | Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte |
| 2022 | WACV | Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. | Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool |
| 2021 | AAAI | Analogical Image Translation for Fog Generation. | Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Danda Pani Paudel, Luc Van Gool |
| 2021 | AAAI | Neural Architecture Search as Sparse Supernet. | Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool |
| 2021 | AISTATS | Spectral Tensor Train Parameterization of Deep Learning Layers. | Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool |
| 2021 | BMVC | Deep Line Encoding for Monocular 3D Object Detection and Depth Prediction. | Ce Liu, Shuhang Gu, Luc Van Gool, Radu Timofte |
| 2021 | CVPR | Deep Burst Super-Resolution. | Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2021 | CVPR | GANmut: Learning Interpretable Conditional Space for Gamut of Emotions. | Stefano d'Apolito, Danda Pani Paudel, Zhiwu Huang, Andrs Romero, Luc Van Gool |
| 2021 | CVPR | 3D CNNs With Adaptive Temporal Feature Resolutions. | Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Jrgen Gall |
| 2021 | CVPR | Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation. | Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, Luc Van Gool |
| 2021 | CVPR | Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation. | Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Kring, Suman Saha, Luc Van Gool |
| 2021 | CVPR | Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. | Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool |
| 2021 | CVPR | The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures. | Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte |
| 2021 | CVPR | Flow-Based Kernel Prior With Application to Blind Super-Resolution. | Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte |
| 2021 | CVPR | CompositeTasking: Understanding Images by Spatial Composition of Tasks. | Nikola Popovic, Danda Pani Paudel, Thomas Probst, Guolei Sun, Luc Van Gool |
| 2021 | CVPR | Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation. | Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool |
| 2021 | CVPR | Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. | M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen |
| 2021 | CVPR | Efficient Conditional GAN Transfer With Knowledge Propagation Across Classes. | Mohamad Shahbazi, Zhiwu Huang, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool |
| 2021 | CVPR | Learning Accurate Dense Correspondences and When To Trust Them. | Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2021 | CVPR | Shadow Removal With Paired and Unpaired Learning. | Florin-Alexandru Vasluianu, Andrs Romero, Luc Van Gool, Radu Timofte |
| 2021 | CVPR | DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows. | Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2021 | CVPR | Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing. | Tianfei Zhou, Wenguan Wang, Si Liu, Yi Yang, Luc Van Gool |
| 2021 | ICCV | Learning Target Candidate Association to Keep Track of What Not to Track. | Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool |
| 2021 | ICCV | Designing a Practical Degradation Model for Deep Blind Image Super-Resolution. | Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte |
| 2021 | ICCV | Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. | Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink |
| 2021 | ICCV | Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. | Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte |
| 2021 | ICCV | Exploring Relational Context for Multi-Task Dense Prediction. | David Brggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool |
| 2021 | ICCV | Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images. | Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool |
| 2021 | ICCV | Vi | Ali Diba, Vivek Sharma, Reza Safdari, Dariush Lotfi, M. Saquib Sarfraz, Rainer Stiefelhagen, Luc Van Gool |
| 2021 | ICCV | Fourier Space Losses for Efficient Perceptual Image Super-Resolution. | Dario Fuoli, Luc Van Gool, Radu Timofte |
| 2021 | ICCV | Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. | Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool |
| 2021 | ICCV | mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets. | Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool |
| 2021 | ICCV | Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather. | Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool |
| 2021 | ICCV | Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU. | Shipra Jain, Danda Pani Paudel, Martin Danelljan, Luc Van Gool |
| 2021 | ICCV | Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection. | Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool |
| 2021 | ICCV | Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. | Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2021 | ICCV | Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution. | Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte |
| 2021 | ICCV | Towards Efficient Graph Convolutional Networks for Point Cloud Handling. | Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory S. Chirikjian, Luc Van Gool |
| 2021 | ICCV | ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. | Christos Sakaridis, Dengxin Dai, Luc Van Gool |
| 2021 | ICCV | Task Switching Network for Multi-task Learning. | Guolei Sun, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Menelaos Kanakis, Jagruti Patel, Dengxin Dai, Luc Van Gool |
| 2021 | ICCV | Warp Consistency for Unsupervised Learning of Dense Correspondences. | Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool |
| 2021 | ICCV | Exploring Cross-Image Pixel Contrast for Semantic Segmentation. | Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool |
| 2021 | ICCV | End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. | Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool |
| 2021 | ICCV | Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos. | Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2021 | ICIP | A Deep Learning Method for Frame Selection in Videos for Structure from Motion Pipelines. | Francesco Banterle, Rui Gong, Massimiliano Corsini, Fabio Ganovelli, Luc Van Gool, Paolo Cignoni |
| 2021 | IJCAI | Neural Architecture Search of SPD Manifold Networks. | Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool |
| 2021 | ICRA | Learning from Simulation, Racing in Reality. | Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros |
| 2021 | IROS | Local Memory Attention for Fast Video Semantic Segmentation. | Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2021 | IROS | Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction. | Edoardo Mello Rella, Jan-Nico Zaech, Alexander Liniger, Luc Van Gool |
| 2021 | ICRA | Fast Few-Shot Classification by Few-Iteration Meta-Learning. | Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2021 | WACV | CoMoDA: Continuous Monocular Depth Adaptation Using Past Experiences. | Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool |
| 2021 | WACV | Zero-Pair Image to Image Translation using Domain Conditional Normalization. | Samarth Shukla, Andrs Romero, Luc Van Gool, Radu Timofte |
| 2021 | WACV | Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection. | Ozan Unal, Luc Van Gool, Dengxin Dai |
| 2021 | WACV | Facial Emotion Recognition with Noisy Multi-task Annotations. | Siwei Zhang, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool |
| 2020 | BMVC | Automated Search for Resource-Efficient Branched Multi-Task Networks. | David Brggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool |
| 2020 | BMVC | Branched Multi-Task Networks: Deciding what layers to share. | Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool, Bert De Brabandere |
| 2020 | BMVC | Weakly Paired Multi-Domain Image Translation. | Marc Yanlong Zhang, Zhiwu Huang, Danda Pani Paudel, Janine Thoma, Luc Van Gool |
| 2020 | CVPR | Self-supervised Object Motion and Depth Estimation from Video. | Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler |
| 2020 | CVPR | Probabilistic Regression for Visual Tracking. | Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2020 | CVPR | Replacing Mobile Camera ISP with a Single Deep Learning Model. | Andrey Ignatov, Luc Van Gool, Radu Timofte |
| 2020 | CVPR | Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. | Yawei Li, Shuhang Gu, Christoph Mayer, Luc Van Gool, Radu Timofte |
| 2020 | CVPR | Learning Better Lossless Compression Using Lossy Compression. | Fabian Mentzer, Luc Van Gool, Michael Tschannen |
| 2020 | CVPR | Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image. | Despoina Paschalidou, Luc Van Gool, Andreas Geiger |
| 2020 | CVPR | Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing. | Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool |
| 2020 | CVPR | Decomposing Image Generation into Layout Prediction and Conditional Synthesis. | Anna Volokitin, Ender Konukoglu, Luc Van Gool |
| 2020 | CVPR | Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement. | Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte |
| 2020 | CVPR | Deep Unfolding Network for Image Super-Resolution. | Kai Zhang, Luc Van Gool, Radu Timofte |
| 2020 | ECCV | Know Your Surroundings: Exploiting Scene Information for Object Tracking. | Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2020 | ECCV | Learning What to Learn for Video Object Segmentation. | Goutam Bhat, Felix Jremo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte |
| 2020 | ECCV | Consistency Guided Scene Flow Estimation. | Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu |
| 2020 | ECCV | Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. | Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens |
| 2020 | ECCV | Large Scale Holistic Video Understanding. | Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jrgen Gall, Rainer Stiefelhagen, Luc Van Gool |
| 2020 | ECCV | Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets. | Clara Fernandez-Labrador, Ajad Chhatkuli, Danda Pani Paudel, Josechu J. Guerrero, Cdric Demonceaux, Luc Van Gool |
| 2020 | ECCV | SCAN: Learning to Classify Images Without Labels. | Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool |
| 2020 | ECCV | Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference. | Menelaos Kanakis, David Brggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool |
| 2020 | ECCV | Flexible Example-Based Image Enhancement with Task Adaptive Global Feature Self-guided Network. | Dario Kneubuehler, Shuhang Gu, Luc Van Gool, Radu Timofte |
| 2020 | ECCV | The Eighth Visual Object Tracking VOT2020 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kmrinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernndez, Alexander G. Hauptmann, Alireza Memarmoghadam, lvaro Garca-Martn, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Jremo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jess Bescs, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schn, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma |
| 2020 | ECCV | DHP: Differentiable Meta Pruning via HyperNetworks. | Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte |
| 2020 | ECCV | SRFlow: Learning the Super-Resolution Space with Normalizing Flow. | Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2020 | ECCV | Video Object Segmentation with Episodic Graph Memory Networks. | Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool |
| 2020 | ECCV | Weakly Supervised 3D Object Detection from Lidar Point Cloud. | Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool, Dengxin Dai |
| 2020 | ECCV | SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects. | Evangelos Ntavelis, Andrs Romero, Iason Kastanis, Luc Van Gool, Radu Timofte |
| 2020 | ECCV | Fixing Localization Errors to Improve Image Classification. | Guolei Sun, Salman H. Khan, Wen Li, Hisham Cholakkal, Fahad Shahbaz Khan, Luc Van Gool |