Luc Van Gool

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 992

Top Venues

Publications

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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Daoji Huang, Otmar Hilliges, Luc Van Gool, Xi Wang
Palm: Predicting Actions through Language Models @ Ego4D Long-Term Action Anticipation Challenge 2023. CoRR (2023)
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. ICLR (2023)
Rui Gong, Martin Danelljan, Han Sun, Julio Delgado Mangas, Luc Van Gool
Prompting Diffusion Representations for Cross-Domain Semantic Segmentation. CoRR (2023)
Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool
Efficient Visual Tracking with Exemplar Transformers. WACV (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. CVPR (2023)
Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool
Denoising Diffusion Models for Plug-and-Play Image Restoration. CVPR Workshops (2023)
Haotong Qin, Ge-Peng Ji, Salman Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. Mach. Intell. Res. 20 (5) (2023)
Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. CoRR (2023)
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
NTIRE 2023 Challenge on Image Denoising: Methods and Results. CVPR Workshops (2023)
Christos Sakaridis, David Brüggemann, Fisher Yu, Luc Van Gool
Condition-Invariant Semantic Segmentation. CoRR (2023)
Erik Sandström, Kevin Ta, Luc Van Gool, Martin R. Oswald
UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM. ICCV (Workshops) (2023)
Nikola Popovic, Dimitrios Christodoulou, Danda Pani Paudel, Xi Wang, Luc Van Gool
Model-aware 3D Eye Gaze from Weak and Few-shot Supervisions. CoRR (2023)
Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance. CoRR (2023)
Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan
MoVideo: Motion-Aware Video Generation with Diffusion Models. CoRR (2023)
Bin Xia, Jingwen He, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Luc Van Gool
Structured Sparsity Learning for Efficient Video Super-Resolution. CVPR (2023)
Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool
Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. CVPR (2023)
Chuqiao Li, Zhiwu Huang, Danda Pani Paudel, Yabin Wang, Mohamad Shahbazi, Xiaopeng Hong, Luc Van Gool
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials. WACV (2023)
Tianfei Zhou, Fatih Porikli, David J. Crandall, Luc Van Gool, Wenguan Wang
A Survey on Deep Learning Technique for Video Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool
Basic Binary Convolution Unit for Binarized Image Restoration Network. ICLR (2023)
Prune Truong, Martin Danelljan, Radu Timofte, Luc Van Gool
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari
SILC: Improving Vision Language Pretraining with Self-Distillation. CoRR (2023)
Zador Pataki, Mohammad Altillawi, Menelaos Kanakis, Rémi Pautrat, Fengyi Shen, Ziyuan Liu, Luc Van Gool, Marc Pollefeys
Long-Term Invariant Local Features via Implicit Cross-Domain Correspondences. CoRR (2023)
David Brüggemann, Christos Sakaridis, Prune Truong, Luc Van Gool
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions. WACV (2023)
Haotong Qin, Ge-Peng Ji, Salman H. Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. CoRR (2023)
Nishant Jain, Suryansh Kumar, Luc Van Gool
Enhanced Stable View Synthesis. CVPR (2023)
Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation. CoRR (2023)
Kevin Ta, David Brüggemann, Tim Brödermann, Christos Sakaridis, Luc Van Gool
L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras. ICRA (2023)
Junru Lin, Asen Nachkov, Songyou Peng, Luc Van Gool, Danda Pani Paudel
Ternary-type Opacity and Hybrid Odometry for RGB-only NeRF-SLAM. CoRR (2023)
Hanqing Wang, Wei Liang, Luc Van Gool, Wenguan Wang
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation. CoRR (2023)
Mengya Liu, Ajad Chhatkuli, Janis Postels, Luc Van Gool, Federico Tombari
Unsupervised Template Warp Consistency for Implicit Surface Correspondences. Comput. Graph. Forum 42 (2) (2023)
Zhaochong An, Guolei Sun, Zongwei Wu, Hao Tang, Luc Van Gool
Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation. BMVC (2023)
Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Ming-Ming Cheng, Bowen Zhou, Luc Van Gool
SAM Struggles in Concealed Scenes - Empirical Study on "Segment Anything". CoRR (2023)
Nick Bührer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. CoRR (2023)
David Brüggemann, Christos Sakaridis, Tim Brödermann, Luc Van Gool
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation. ICCV (2023)
Yifan Lu, Gurkirt Singh, Suman Saha, Luc Van Gool
Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action Detection. WACV (2023)
Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool
DiffIR: Efficient Diffusion Model for Image Restoration. CoRR (2023)
Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Kai Zhang, Jiezhang Cao, Qi Jiang, Kaiwei Wang, Luc Van Gool
Event-Based Frame Interpolation with Ad-hoc Deblurring. CVPR (2023)
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
LSDIR: A Large Scale Dataset for Image Restoration. CVPR Workshops (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. CoRR (2023)
Menelaos Kanakis, Simon Maurer, Matteo Spallanzani, Ajad Chhatkuli, Luc Van Gool
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization. CVPR Workshops (2023)
David Brüggemann, Christos Sakaridis, Tim Brödermann, Luc Van Gool
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation. CoRR (2023)
Guofeng Mei, Hao Tang, Xiaoshui Huang, Weijie Wang, Juan Liu, Jian Zhang, Luc Van Gool, Qiang Wu
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration. CVPR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Luc Van Gool