Luc Van Gool

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 1037

Top Venues

Publications

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 (2024)
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)
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 (2024)
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) (2024)
Diandian Guo, Deng-Ping Fan, Tongyu Lu, Christos Sakaridis, Luc Van Gool
Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes. CoRR (2024)
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool
Stereo Risk: A Continuous Modeling Approach to Stereo Matching. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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) (2024)
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 (2024)
Reni Paskaleva, Mykyta Holubakha, Andela Ilic, Saman Motamed, Luc Van Gool, Danda Pani Paudel
A Unified and Interpretable Emotion Representation and Expression Generation. CoRR (2024)
Yuqian Fu, Yu Wang, Yixuan Pan, Lian Huai, Xingyu Qiu, Zeyu Shangguan, Tong Liu, Lingjie Kong, Yanwei Fu, Luc Van Gool, Xingqun Jiang
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector. CoRR (2024)
Juan Wen, Yawei Li, Chao Zhang, Weiyan Hou, Radu Timofte, Luc Van Gool
Empowering Image Recovery_ A Multi-Attention Approach. CoRR (2024)
Lorenzo Liso, Erik Sandström, Vladimir Yugay, Luc Van Gool, Martin R. Oswald
Loopy-SLAM: Dense Neural SLAM with Loop Closures. CoRR (2024)
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) (2024)
Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segù, Siyuan Li, Luc Van Gool, Fisher Yu
UniDepth: Universal Monocular Metric Depth Estimation. CoRR (2024)
Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu
Matching Anything by Segmenting Anything. CoRR (2024)
Zhipeng Zhang, Zhimin Wei, Guolei Sun, Peng Wang, Luc Van Gool
Self-Explainable Affordance Learning with Embodied Caption. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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 (2024)
Yun Liu, Yu-Huan Wu, Guolei Sun, Le Zhang, Ajad Chhatkuli, Luc Van Gool
Vision Transformers with Hierarchical Attention. Mach. Intell. Res. 21 (4) (2024)
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 (2024)
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 (2024)
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) (2024)
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 (2024)
Kamil Adamczewski, Yawei Li, Luc Van Gool
Shapley Pruning for Neural Network Compression. CoRR (2024)
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 (2024)
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) (2024)
Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova
Beyond SOT: Tracking Multiple Generic Objects at Once. WACV (2024)
Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe
Key-Graph Transformer for Image Restoration. CoRR (2024)
Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool
Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation. CoRR (2024)
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 (2024)
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)
Ata Çelen, Guo Han, Konrad Schindler, Luc Van Gool, Iro Armeni, Anton Obukhov, Xi Wang
I-Design: Personalized LLM Interior Designer. CoRR (2024)
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) (2024)
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) (2024)
Pierre-François De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool
Contrastive Learning for Multi-Object Tracking with Transformers. WACV (2024)
Saad Himmi, Vincent Parret, Ajad Chhatkuli, Luc Van Gool
MS-EVS: Multispectral event-based vision for deep learning based face detection. WACV (2024)
Elham Amin Mansour, Ozan Unal, Suman Saha, Benjamín Béjar, Luc Van Gool
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation. CoRR (2024)
Guillaume Thiry, Hao Tang, Radu Timofte, Luc Van Gool
Towards Online Real-Time Memory-based Video Inpainting Transformers. CoRR (2024)
Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. CoRR (2024)
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 (2024)
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) (2024)
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 (2024)
Konstantinos Tzevelekakis, Shutong Zhang, Luc Van Gool, Christos Sakaridis
Sun Off, Lights On: Photorealistic Monocular Nighttime Simulation for Robust Semantic Perception. CoRR (2024)
Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Martin Danelljan, Luc Van Gool
StyleGenes: Discrete and Efficient Latent Distributions for GANs. WACV (2024)
Zhejun Zhang, Christos Sakaridis, Luc Van Gool
TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding. CoRR (2024)
Ozan Unal, Dengxin Dai, Ali Tamer Unal, Luc Van Gool
Discwise Active Learning for LiDAR Semantic Segmentation. IEEE Robotics Autom. Lett. 8 (11) (2023)
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CVPR (2023)
Nikola Popovic, Ritika Chakraborty, Danda Pani Paudel, Thomas Probst, Luc Van Gool
Spatially Multi-conditional Image Generation. WACV (2023)
Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models. ICCV (2023)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
Improving Online Lane Graph Extraction by Object-Lane Clustering. CoRR (2023)
Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. ICCV (2023)
Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. Int. J. Comput. Vis. 131 (8) (2023)
Huan Wang, Yulun Zhang, Can Qin, Luc Van Gool, Yun Fu
Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
Prior Based Online Lane Graph Extraction from Single Onboard Camera Image. ITSC (2023)
Han Yao Choong, Suryansh Kumar, Luc Van Gool
Quantum Annealing for Single Image Super-Resolution. CoRR (2023)
Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) (2023)
Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool
StyleGenes: Discrete and Efficient Latent Distributions for GANs. CoRR (2023)
Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool
Graph Transformer GANs for Graph-Constrained House Generation. CVPR (2023)
Mohamad Shahbazi, Evangelos Ntavelis, Alessio Tonioni, Edo Collins, Danda Pani Paudel, Martin Danelljan, Luc Van Gool
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions. CoRR (2023)
Qingsen Yan, Song Zhang, Weiye Chen, Hao Tang, Yu Zhu, Jinqiu Sun, Luc Van Gool, Yanning Zhang
SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders. CoRR (2023)
Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. CVPR (2023)
Ren Yang, Radu Timofte, Luc Van Gool
Advancing Learned Video Compression With In-Loop Frame Prediction. IEEE Trans. Circuits Syst. Video Technol. 33 (5) (2023)
Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution. ICLR (2023)
Edoardo Mello Rella, Ajad Chhatkuli, Ender Konukoglu, Luc Van Gool
MultiVT: Multiple-Task Framework for Dentistry. DART@MICCAI (2023)
Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal
Learning Attention Propagation for Compositional Zero-Shot Learning. WACV (2023)
Abhishek Jha, Badri N. Patro, Luc Van Gool, Tinne Tuytelaars
Barlow constrained optimization for Visual Question Answering. WACV (2023)
Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov
Breathing New Life into 3D Assets with Generative Repainting. CoRR (2023)
Rashik Shrestha, Ajad Chhatkuli, Menelaos Kanakis, Luc Van Gool
Residual Learning for Image Point Descriptors. CoRR (2023)
Goutam Bhat, Michaël Gharbi, Jiawen Chen, Luc Van Gool, Zhihao Xia
Self-Supervised Burst Super-Resolution. ICCV (2023)
Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. CoRR (2023)
Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. CoRR (2023)
Pierre-François De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool
Contrastive Learning for Multi-Object Tracking with Transformers. CoRR (2023)
Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. CoRR (2023)
Erik Sandström, Yue Li, Luc Van Gool, Martin R. Oswald
Point-SLAM: Dense Neural Point Cloud-based SLAM. CoRR (2023)
Evangelos Ntavelis, Aliaksandr Siarohin, Kyle Olszewski, Chaoyang Wang, Luc Van Gool, Sergey Tulyakov
Autodecoding Latent 3D Diffusion Models. NeurIPS (2023)
Han Sun, Rui Gong, Konrad Schindler, Luc Van Gool
SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory. CoLLAs (2023)
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CoRR (2023)
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
Prior Based Online Lane Graph Extraction from Single Onboard Camera Image. CoRR (2023)
Erik Sandström, Yue Li, Luc Van Gool, Martin R. Oswald
Point-SLAM: Dense Neural Point Cloud-based SLAM. ICCV (2023)
Yu-Hui Huang, Marc Proesmans, Luc Van Gool
Padding Investigations for CNNs in Scene Parsing Tasks. MVA (2023)
Gurkirt Singh, Vasileios Choutas, Suman Saha, Fisher Yu, Luc Van Gool
Spatio-Temporal Action Detection Under Large Motion. WACV (2023)
Nikola Popovic, Danda Pani Paudel, Luc Van Gool
Surface Normal Clustering for Implicit Representation of Manhattan Scenes. ICCV (2023)
Qingsen Yan, Tao Hu, Yuan Sun, Hao Tang, Yu Zhu, Wei Dong, Luc Van Gool, Yanning Zhang
Towards High-quality HDR Deghosting with Conditional Diffusion Models. CoRR (2023)
Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration. CoRR (2023)
M. Eren Akbiyik, Nedko Savov, Danda Pani Paudel, Nikola Popovic, Christian Vater, Otmar Hilliges, Luc Van Gool, Xi Wang
G-MEMP: Gaze-Enhanced Multimodal Ego-Motion Prediction in Driving. CoRR (2023)
Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, Luc Van Gool
Advances in deep concealed scene understanding. Vis. Intell. 1 (1) (2023)
Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. ICCV (2023)
Nishant Jain, Suryansh Kumar, Luc Van Gool
Enhanced Stable View Synthesis. CoRR (2023)
Juan Wen, Shupeng Cheng, Peng Xu, Bowen Zhou, Radu Timofte, Weiyan Hou, Luc Van Gool
When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study. CoRR (2023)
Ozan Ünal, Dengxin Dai, Ali Tamer Unal, Luc Van Gool
Discwise Active Learning for LiDAR Semantic Segmentation. CoRR (2023)
Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang
LALM: Long-Term Action Anticipation with Language Models. CoRR (2023)
Saman Motamed, Danda Pani Paudel, Luc Van Gool
Lego: Learning to Disentangle and Invert Concepts Beyond Object Appearance in Text-to-Image Diffusion Models. CoRR (2023)

Luc Van Gool.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Luc Van Gool