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Luc Van Gool
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- affiliation: ETH Zurich, Computer Vision Lab, Switzerland
- affiliation: KU Leuven, Center for Processing Speech and Images (PSI-VISICS), Belgium
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2020 – today
- 2024
- [j203]Lei Sun, Yun Liu, Guolei Sun, Min Wu, Zhijie Xu, Kaiwei Wang, Luc Van Gool:
Global and Compact Video Context Embedding for Video Semantic Segmentation. IEEE Access 12: 135589-135600 (2024) - [j202]Deng-Ping Fan
, Nick Barnes
, Ming-Ming Cheng
, Luc Van Gool
:
Editorial for Special Issue on Multi-modal Representation Learning. Mach. Intell. Res. 21(4): 615-616 (2024) - [j201]Guolei Sun
, Yun Liu
, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Luc Van Gool:
Rethinking Global Context in Crowd Counting. Mach. Intell. Res. 21(4): 640-651 (2024) - [j200]Yun Liu
, Yu-Huan Wu
, Guolei Sun
, Le Zhang
, Ajad Chhatkuli
, Luc Van Gool
:
Vision Transformers with Hierarchical Attention. Mach. Intell. Res. 21(4): 670-683 (2024) - [j199]Nishant Jain, Suryansh Kumar
, Luc Van Gool:
Learning Robust Multi-scale Representation for Neural Radiance Fields from Unposed Images. Int. J. Comput. Vis. 132(4): 1310-1335 (2024) - [j198]Muhammad Ferjad Naeem
, Yongqin Xian, Luc Van Gool, Federico Tombari:
I2DFormer+: Learning Image to Document Summary Attention for Zero-Shot Image Classification. Int. J. Comput. Vis. 132(9): 3806-3822 (2024) - [j197]Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool:
TT-NF: Tensor Train Neural Fields. IEEE J. Sel. Top. Signal Process. 18(6): 1024-1035 (2024) - [j196]Lukas Hoyer
, Dengxin Dai
, Luc Van Gool
:
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 220-235 (2024) - [j195]Wenguan Wang
, Guolei Sun
, Luc Van Gool
:
Looking Beyond Single Images for Weakly Supervised Semantic Segmentation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1635-1649 (2024) - [j194]Jiahua Dong
, Hongliu Li
, Yang Cong
, Gan Sun
, Yulun Zhang
, Luc Van Gool
:
No One Left Behind: Real-World Federated Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2054-2070 (2024) - [j193]Hao Tang
, Ling Shao
, Nicu Sebe
, Luc Van Gool
:
Graph Transformer GANs With Graph Masked Modeling for Architectural Layout Generation. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4298-4313 (2024) - [j192]Guolei Sun
, Yun Liu
, Henghui Ding
, Min Wu
, Luc Van Gool
:
Learning Local and Global Temporal Contexts for Video Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6919-6934 (2024) - [j191]Hui Wei
, Hao Tang
, Xuemei Jia, Zhixiang Wang
, Hanxun Yu
, Zhubo Li, Shin'ichi Satoh
, Luc Van Gool
, Zheng Wang
:
Physical Adversarial Attack Meets Computer Vision: A Decade Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9797-9817 (2024) - [j190]Bowen Yin
, Xuying Zhang, Deng-Ping Fan
, Shaohui Jiao
, Ming-Ming Cheng
, Luc Van Gool
, Qibin Hou
:
CamoFormer: Masked Separable Attention for Camouflaged Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10362-10374 (2024) - [j189]Qingsen Yan
, Tao Hu
, Yuan Sun, Hao Tang, Yu Zhu, Wei Dong, Luc Van Gool, Yanning Zhang:
Toward High-Quality HDR Deghosting With Conditional Diffusion Models. IEEE Trans. Circuits Syst. Video Technol. 34(5): 4011-4026 (2024) - [j188]Jingyun Liang
, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li
, Radu Timofte
, Luc Van Gool
:
VRT: A Video Restoration Transformer. IEEE Trans. Image Process. 33: 2171-2182 (2024) - [c913]Bin Ren
, Guofeng Mei
, Danda Pani Paudel
, Weijie Wang
, Yawei Li
, Mengyuan Liu
, Rita Cucchiara
, Luc Van Gool
, Nicu Sebe
:
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-supervised Learning. ACCV (7) 2024: 56-75 - [c912]Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko:
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. CVPR 2024: 2274-2284 - [c911]Reni Paskaleva, Mykyta Holubakha, Andela Ilic, Saman Motamed, Luc Van Gool, Danda Pani Paudel:
A Unified and Interpretable Emotion Representation and Expression Generation. CVPR 2024: 2447-2456 - [c910]Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
Deep Equilibrium Diffusion Restoration with Parallel Sampling. CVPR 2024: 2824-2834 - [c909]Diandian Guo, Deng-Ping Fan, Tongyu Lu, Christos Sakaridis, Luc Van Gool:
Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes. CVPR 2024: 3544-3553 - [c908]Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge J. Belongie:
Rethinking Few-shot 3D Point Cloud Semantic Segmentation. CVPR 2024: 3996-4006 - [c907]Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Continuous Pose for Monocular Cameras in Neural Implicit Representation. CVPR 2024: 5291-5301 - [c906]Guillaume Thiry, Hao Tang, Radu Timofte, Luc Van Gool:
Towards Online Real-Time Memory-based Video Inpainting Transformers. CVPR Workshops 2024: 6035-6044 - [c905]Saman Motamed
, Wouter Van Gansbeke, Luc Van Gool:
Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models. CVPR Workshops 2024: 7406-7415 - [c904]Rui Li, Tobias Fischer, Mattia Segù, Marc Pollefeys, Luc Van Gool, Federico Tombari:
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning. CVPR 2024: 9848-9858 - [c903]Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segù, Siyuan Li, Luc Van Gool, Fisher Yu:
UniDepth: Universal Monocular Metric Depth Estimation. CVPR 2024: 10106-10116 - [c902]Razvan-George 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. CVPR 2024: 18286-18296 - [c901]Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu:
Matching Anything by Segmenting Anything. CVPR 2024: 18963-18973 - [c900]Zongwei Wu, Jilai Zheng, Xiangxuan Ren, Florin-Alexandru Vasluianu, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
Single-Model and Any-Modality for Video Object Tracking. CVPR 2024: 19156-19166 - [c899]Lorenzo Liso, Erik Sandström, Vladimir Yugay, Luc Van Gool, Martin R. Oswald:
Loopy-SLAM: Dense Neural SLAM with Loop Closures. CVPR 2024: 20363-20373 - [c898]Roman Flepp, Andrey Ignatov, Radu Timofte, Luc Van Gool:
Real-World Mobile Image Denoising Dataset with Efficient Baselines. CVPR 2024: 22368-22377 - [c897]Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen, Radu Timofte, Luc Van Gool:
Equivariant Multi-Modality Image Fusion. CVPR 2024: 25912-25921 - [c896]Jan-Nico Zaech, Martin Danelljan, Tolga Birdal, Luc Van Gool:
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing. CVPR 2024: 26191-26201 - [c895]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. ECCV (27) 2024: 1-18 - [c894]Mattia Segù, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele:
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs. ECCV (8) 2024: 1-18 - [c893]Tim Brödermann
, David Brüggemann
, Christos Sakaridis
, Kevin Ta
, Odysseas Liagouris, Jason Corkill
, Luc Van Gool
:
MUSES: The Multi-sensor Semantic Perception Dataset for Driving Under Uncertainty. ECCV (59) 2024: 21-38 - [c892]Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari:
SILC: Improving Vision Language Pretraining with Self-distillation. ECCV (21) 2024: 38-55 - [c891]Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan:
MoVideo: Motion-Aware Video Generation with Diffusion Model. ECCV (44) 2024: 56-74 - [c890]Ozan Unal
, Christos Sakaridis, Luc Van Gool:
Bayesian Self-training for Semi-supervised 3D Segmentation. ECCV (56) 2024: 89-107 - [c889]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. ECCV (39) 2024: 91-109 - [c888]Saman Motamed
, Danda Pani Paudel
, Luc Van Gool
:
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models. ECCV (15) 2024: 116-133 - [c887]Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang:
PALM: Predicting Actions through Language Models. ECCV (82) 2024: 140-158 - [c886]Ozan Unal
, Christos Sakaridis, Suman Saha, Luc Van Gool:
Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding. ECCV (76) 2024: 196-213 - [c885]Mengya Liu
, Ajad Chhatkuli
, Janis Postels
, Luc Van Gool
, Federico Tombari
:
Self-supervised Shape Completion via Involution and Implicit Correspondences. ECCV (58) 2024: 212-229 - [c884]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. ECCV (58) 2024: 247-264 - [c883]Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari:
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance. ECCV (39) 2024: 257-275 - [c882]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. ECCV (39) 2024: 329-346 - [c881]Ada-Astrid Balauca, Danda Pani Paudel
, Kristina Toutanova, Luc Van Gool
:
Taming CLIP for Fine-Grained and Structured Visual Understanding of Museum Exhibits. ECCV (76) 2024: 377-394 - [c880]Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool:
Stereo Risk: A Continuous Modeling Approach to Stereo Matching. ICML 2024 - [c879]Yulun Zhang, Kai Zhang, Luc Van Gool, Martin Danelljan, Fisher Yu:
Lightweight Image Super-Resolution via Flexible Meta Pruning. ICML 2024 - [c878]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. ICML 2024 - [c877]Junru Lin, Asen Nachkov, Songyou Peng, Luc Van Gool, Danda Pani Paudel:
Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM. IROS 2024: 7929-7936 - [c876]Zhuyun Zhou, Zongwei Wu, Danda Pani Paudel, Rémi Boutteau, Fan Yang, Luc Van Gool, Radu Timofte, Dominique Ginhac:
Event-Free Moving Object Segmentation from Moving Ego Vehicle. IROS 2024: 8960-8965 - [c875]Qi Ma, Danda Pani Paudel, Ender Konukoglu, Luc Van Gool:
Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes. NeurIPS 2024 - [c874]Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Ming-Hsuan Yang, Nicu Sebe:
Sharing Key Semantics in Transformer Makes Efficient Image Restoration. NeurIPS 2024 - [c873]David Borts
, Erich Liang
, Tim Broedermann
, Andrea Ramazzina
, Stefanie Walz
, Edoardo Palladin
, Jipeng Sun
, David Brüggemann
, Christos Sakaridis
, Luc Van Gool
, Mario Bijelic
, Felix Heide
:
Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar. SIGGRAPH (Conference Paper Track) 2024: 130 - [c872]Saad Himmi, Vincent Parret, Ajad Chhatkuli, Luc Van Gool:
MS-EVS: Multispectral event-based vision for deep learning based face detection. WACV 2024: 605-614 - [c871]Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Martin Danelljan, Luc Van Gool:
StyleGenes: Discrete and Efficient Latent Distributions for GANs. WACV 2024: 4065-4074 - [c870]Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova:
Beyond SOT: Tracking Multiple Generic Objects at Once. WACV 2024: 6812-6822 - [c869]Pierre-François De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Contrastive Learning for Multi-Object Tracking with Transformers. WACV 2024: 6853-6863 - [c868]Giuliano Albanese, Arka Mitra, Jan-Nico Zaech, Yupeng Zhao, Ajad Chhatkuli, Luc Van Gool:
Optimizing Long-Term Robot Tracking with Multi-Platform Sensor Fusion. WACV 2024: 6977-6987 - [c867]Ozan Unal
, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool:
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. WACV 2024: 7321-7330 - [i527]Muhammad Uzair Khattak, Muhammad Ferjad Naeem, Muzammal Naseer, Luc Van Gool, Federico Tombari:
Learning to Prompt with Text Only Supervision for Vision-Language Models. CoRR abs/2401.02418 (2024) - [i526]Mohamad Shahbazi, Liesbeth Claessens, Michael Niemeyer, Edo Collins, Alessio Tonioni, Luc Van Gool, Federico Tombari:
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes. CoRR abs/2401.05335 (2024) - [i525]Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool:
Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation. CoRR abs/2401.07721 (2024) - [i524]Tim Brödermann, David Brüggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, Luc Van Gool:
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty. CoRR abs/2401.12761 (2024) - [i523]Diandian Guo, Deng-Ping Fan, Tongyu Lu, Christos Sakaridis, Luc Van Gool:
Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes. CoRR abs/2401.15261 (2024) - [i522]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. CoRR abs/2402.02235 (2024) - [i521]Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe:
Key-Graph Transformer for Image Restoration. CoRR abs/2402.02634 (2024) - [i520]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. CoRR abs/2402.03094 (2024) - [i519]Lorenzo Liso, Erik Sandström, Vladimir Yugay, Luc Van Gool, Martin R. Oswald:
Loopy-SLAM: Dense Neural SLAM with Loop Closures. CoRR abs/2402.09944 (2024) - [i518]Zhaochong An
, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge J. Belongie:
Rethinking Few-shot 3D Point Cloud Semantic Segmentation. CoRR abs/2403.00592 (2024) - [i517]Muhammad Saif Ullah Khan
, Muhammad Ferjad Naeem, Federico Tombari, Luc Van Gool, Didier Stricker, Muhammad Zeshan Afzal:
FocusCLIP: Multimodal Subject-Level Guidance for Zero-Shot Transfer in Human-Centric Tasks. CoRR abs/2403.06904 (2024) - [i516]Guillaume Thiry, Hao Tang, Radu Timofte, Luc Van Gool:
Towards Online Real-Time Memory-based Video Inpainting Transformers. CoRR abs/2403.16161 (2024) - [i515]Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segù, Siyuan Li, Luc Van Gool, Fisher Yu:
UniDepth: Universal Monocular Metric Depth Estimation. CoRR abs/2403.18913 (2024) - [i514]Ganlin Zhang
, Erik Sandström, Youmin Zhang, Manthan Patel, Luc Van Gool, Martin R. Oswald:
GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAM. CoRR abs/2403.19549 (2024) - [i513]Reni Paskaleva, Mykyta Holubakha, Andela Ilic, Saman Motamed
, Luc Van Gool, Danda Pani Paudel:
A Unified and Interpretable Emotion Representation and Expression Generation. CoRR abs/2404.01243 (2024) - [i512]Ata Çelen, Guo Han, Konrad Schindler, Luc Van Gool, Iro Armeni, Anton Obukhov, Xi Wang:
I-Design: Personalized LLM Interior Designer. CoRR abs/2404.02838 (2024) - [i511]Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko:
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. CoRR abs/2404.03159 (2024) - [i510]Rui Li, Tobias Fischer, Mattia Segù, Marc Pollefeys, Luc Van Gool, Federico Tombari:
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning. CoRR abs/2404.03658 (2024) - [i509]Elham Amin Mansour, Ozan Unal, Suman Saha, Benjamín Béjar, Luc Van Gool:
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation. CoRR abs/2404.03799 (2024) - [i508]Juan Wen, Yawei Li, Chao Zhang, Weiyan Hou, Radu Timofte, Luc Van Gool:
Empowering Image Recovery_ A Multi-Attention Approach. CoRR abs/2404.04617 (2024) - [i507]Saman Motamed
, Wouter Van Gansbeke, Luc Van Gool:
Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models. CoRR abs/2404.05519 (2024) - [i506]Zhipeng Zhang, Zhimin Wei, Guolei Sun, Peng Wang, Luc Van Gool:
Self-Explainable Affordance Learning with Embodied Caption. CoRR abs/2404.05603 (2024) - [i505]David Borts, Erich Liang, Tim Brödermann, Andrea Ramazzina, Stefanie Walz, Edoardo Palladin, Jipeng Sun, David Brüggemann, Christos Sakaridis, Luc Van Gool, Mario Bijelic, Felix Heide:
Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar. CoRR abs/2405.04662 (2024) - [i504]Erik Sandström, Keisuke Tateno, Michael Oechsle, Michael Niemeyer, Luc Van Gool, Martin R. Oswald, Federico Tombari:
Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians. CoRR abs/2405.16544 (2024) - [i503]Yuedong Tan, Zongwei Wu, Yuqian Fu, Zhuyun Zhou, Guolei Sun, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
Towards a Generalist and Blind RGB-X Tracker. CoRR abs/2405.17773 (2024) - [i502]Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Ming-Hsuan Yang, Nicu Sebe:
Sharing Key Semantics in Transformer Makes Efficient Image Restoration. CoRR abs/2405.20008 (2024) - [i501]Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu:
Matching Anything by Segmenting Anything. CoRR abs/2406.04221 (2024) - [i500]Zhejun Zhang, Christos Sakaridis, Luc Van Gool:
TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding. CoRR abs/2406.10898 (2024) - [i499]Qi Ma, Danda Pani Paudel, Ender Konukoglu, Luc Van Gool:
Implicit-Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes. CoRR abs/2406.17438 (2024) - [i498]Daiwei Zhang, Gengyan Li, Jiajie Li, Mickaël Bressieux, Otmar Hilliges, Marc Pollefeys, Luc Van Gool, Xi Wang:
EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splatting. CoRR abs/2406.19811 (2024) - [i497]Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool:
Stereo Risk: A Continuous Modeling Approach to Stereo Matching. CoRR abs/2407.03152 (2024) - [i496]Bin Ren, Guofeng Mei, Danda Pani Paudel, Weijie Wang, Yawei Li, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe:
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning. CoRR abs/2407.05862 (2024) - [i495]Bin Ren, Eduard Zamfir, Yawei Li, Zongwei Wu, Danda Pani Paudel, Radu Timofte, Nicu Sebe, Luc Van Gool:
Any Image Restoration with Efficient Automatic Degradation Adaptation. CoRR abs/2407.13372 (2024) - [i494]Kamil Adamczewski, Yawei Li, Luc Van Gool:
Shapley Pruning for Neural Network Compression. CoRR abs/2407.15875 (2024) - [i493]Sohyeong Kim, Martin Danelljan, Radu Timofte, Luc Van Gool, Jean-Philippe Thiran:
PIV3CAMS: a multi-camera dataset for multiple computer vision problems and its application to novel view-point synthesis. CoRR abs/2407.18695 (2024) - [i492]Konstantinos Tzevelekakis, Shutong Zhang, Luc Van Gool, Christos Sakaridis:
Sun Off, Lights On: Photorealistic Monocular Nighttime Simulation for Robust Semantic Perception. CoRR abs/2407.20336 (2024) - [i491]Jiameng Li, Yue Shi, Jiezhang Cao, Bingbing Ni, Wenjun Zhang, Kai Zhang, Luc Van Gool:
Mipmap-GS: Let Gaussians Deform with Scale-specific Mipmap for Anti-aliasing Rendering. CoRR abs/2408.06286 (2024) - [i490]Albert Gassol Puigjaner, Edoardo Mello Rella, Erik Sandström, Ajad Chhatkuli, Luc Van Gool:
VF-NeRF: Learning Neural Vector Fields for Indoor Scene Reconstruction. CoRR abs/2408.08766 (2024) - [i489]Jiancheng Pan, Yanxing Liu, Yuqian Fu, Muyuan Ma, Jiaohao Li, Danda Pani Paudel, Luc Van Gool, Xiaomeng Huang:
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community. CoRR abs/2408.09110 (2024) - [i488]Qi Ma, Yue Li, Bin Ren, Nicu Sebe, Ender Konukoglu, Theo Gevers, Luc Van Gool, Danda Pani Paudel:
ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining. CoRR abs/2408.10906 (2024) - [i487]Shamik Basu, Christos Sakaridis, Luc Van Gool:
Physically Feasible Semantic Segmentation. CoRR abs/2408.14672 (2024) - [i486]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. CoRR abs/2408.16478 (2024) - [i485]Nedyalko Prisadnikov, Wouter Van Gansbeke, Danda Pani Paudel, Luc Van Gool:
A Simple and Generalist Approach for Panoptic Segmentation. CoRR abs/2408.16504 (2024) - [i484]Ada-Astrid Balauca, Danda Pani Paudel, Kristina Toutanova, Luc Van Gool:
Taming CLIP for Fine-grained and Structured Visual Understanding of Museum Exhibits. CoRR abs/2409.01690 (2024) - [i483]Naser Kazemi, Nedko Savov, Danda Pani Paudel, Luc Van Gool:
Learning Generative Interactive Environments By Trained Agent Exploration. CoRR abs/2409.06445 (2024) - [i482]Asen Nachkov, Danda Pani Paudel, Luc Van Gool:
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation. CoRR abs/2409.07965 (2024) - [i481]Ozan Unal, Christos Sakaridis, Luc Van Gool:
Bayesian Self-Training for Semi-Supervised 3D Segmentation. CoRR abs/2409.08102 (2024) - [i480]Ke Li, Luc Van Gool, Dengxin Dai:
Test-time Training for Hyperspectral Image Super-resolution. CoRR abs/2409.08667 (2024) - [i479]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. CoRR abs/2409.11235 (2024) - [i478]