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ORCIDLuc Van Gool
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- affiliation: ETH Zurich, Computer Vision Lab
- affiliation: KU Leuven, Center for Processing Speech and Images (PSI-VISICS)
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2020 – today
- 2022
[j160]Hisham Cholakkal
, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1604-1622 (2022)- [j159]Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3139-3153 (2022) - [j158]Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai:
End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. IEEE Robotics Autom. Lett. 7(2): 2242-2249 (2022) - [j157]Yigit Baran Can, Alexander Liniger, Ozan Unal, Danda Pani Paudel, Luc Van Gool:
Understanding Bird's-Eye View of Road Semantics Using an Onboard Camera. IEEE Robotics Autom. Lett. 7(2): 3302-3309 (2022) - [j156]Vaishakh Patil, Alexander Liniger, Dengxin Dai, Luc Van Gool:
Improving Depth Estimation Using Map-Based Depth Priors. IEEE Robotics Autom. Lett. 7(2): 3640-3647 (2022) - [c723]Jose Luis Vazquez Espinoza, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool:
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. L4DC 2022: 1006-1019 - [c722]Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool:
Towards Unsupervised Online Domain Adaptation for Semantic Segmentation. WACV (Workshops) 2022: 261-271 - [c721]Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. WACV 2022: 874-883 - [c720]Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool:
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. WACV 2022: 2304-2314 - [c719]Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech, Luc Van Gool:
Unsupervised Robust Domain Adaptation without Source Data. WACV 2022: 2805-2814 - [c718]Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool:
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. WACV 2022: 3967-3979 - [c717]Ke Li, Dengxin Dai, Luc Van Gool:
Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task. WACV 2022: 4039-4048 - [i343]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Sound and Visual Representation Learning with Multiple Pretraining Tasks. CoRR abs/2201.01046 (2022) - [i342]Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Flow-Guided Sparse Transformer for Video Deblurring. CoRR abs/2201.01893 (2022) - [i341]Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai:
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. CoRR abs/2201.03860 (2022) - [i340]Mohamad Shahbazi, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Collapse by Conditioning: Training Class-conditional GANs with Limited Data. CoRR abs/2201.06578 (2022) - [i339]Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool:
RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CoRR abs/2201.09865 (2022) - [i338]Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister:
Revisiting RCAN: Improved Training for Image Super-Resolution. CoRR abs/2201.11279 (2022) - [i337]Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool:
VRT: A Video Restoration Transformer. CoRR abs/2201.12288 (2022) - [i336]Dario Fuoli, Martin Danelljan, Radu Timofte, Luc Van Gool:
Fast Online Video Super-Resolution with Deformable Attention Pyramid. CoRR abs/2202.01731 (2022) - [i335]Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool:
Adiabatic Quantum Computing for Multi Object Tracking. CoRR abs/2202.08837 (2022) - [i334]Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncertainty-Aware Deep Multi-View Photometric Stereo. CoRR abs/2202.13071 (2022) - [i333]Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool:
Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation. CoRR abs/2202.13162 (2022) - [i332]Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. CoRR abs/2203.02149 (2022) - [i331]Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool:
Highly Accurate Dichotomous Image Segmentation. CoRR abs/2203.03041 (2022) - [i330]Simon Maurer, Menelaos Kanakis, Matteo Spallanzani, Ajad Chhatkuli, Luc Van Gool:
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization. CoRR abs/2203.03610 (2022) - [i329]Abhishek Jha, Badri N. Patro, Luc Van Gool, Tinne Tuytelaars:
Barlow constrained optimization for Visual Question Answering. CoRR abs/2203.03727 (2022) - [i328]Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences. CoRR abs/2203.04279 (2022) - [i327]Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. CoRR abs/2203.04845 (2022) - [i326]Feiyu Wang, Qin Wang, Wen Li, Dong Xu, Luc Van Gool:
Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound. CoRR abs/2203.06639 (2022) - [i325]Ozan Unal, Dengxin Dai, Luc Van Gool:
Scribble-Supervised LiDAR Semantic Segmentation. CoRR abs/2203.08537 (2022) - [i324]Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool:
Zero Pixel Directional Boundary by Vector Transform. CoRR abs/2203.08795 (2022) - [i323]Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool:
Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild. CoRR abs/2203.10636 (2022) - [i322]Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool:
Robust Visual Tracking by Segmentation. CoRR abs/2203.11191 (2022) - [i321]Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool:
Transforming Model Prediction for Tracking. CoRR abs/2203.11192 (2022) - [i320]Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Radu Timofte, Luc Van Gool:
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis. CoRR abs/2203.13278 (2022) - [i319]Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai:
Continual Test-Time Domain Adaptation. CoRR abs/2203.13591 (2022) - [i318]Ritika Chakraborty, Nikola Popovic, Danda Pani Paudel, Thomas Probst, Luc Van Gool:
Spatially Multi-conditional Image Generation. CoRR abs/2203.13812 (2022) - [i317]Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen, Huazhu Fu, Luc Van Gool:
Video Polyp Segmentation: A Deep Learning Perspective. CoRR abs/2203.14291 (2022) - [i316]Tianfei Zhou, Wenguan Wang, Ender Konukoglu, Luc Van Gool:
Rethinking Semantic Segmentation: A Prototype View. CoRR abs/2203.15102 (2022) - [i315]Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool:
LiDAR Snowfall Simulation for Robust 3D Object Detection. CoRR abs/2203.15118 (2022) - [i314]Hanqing Wang, Wei Liang, Jianbing Shen, Luc Van Gool, Wenguan Wang:
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation. CoRR abs/2203.16586 (2022) - [i313]Liqian Ma, Lingjie Liu, Christian Theobalt, Luc Van Gool:
Direct Dense Pose Estimation. CoRR abs/2204.01263 (2022) - [i312]Liqian Ma, Stamatios Georgoulis, Xu Jia, Luc Van Gool:
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty. CoRR abs/2204.01267 (2022) - [i311]Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool:
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior. CoRR abs/2204.02091 (2022) - [i310]Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool:
Arbitrary-Scale Image Synthesis. CoRR abs/2204.02273 (2022) - [i309]José L. Vázquez, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool:
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. CoRR abs/2204.02392 (2022) - [i308]Guolei Sun, Yun Liu, Henghui Ding, Thomas Probst, Luc Van Gool:
Coarse-to-Fine Feature Mining for Video Semantic Segmentation. CoRR abs/2204.03330 (2022) - [i307]Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool:
Learning Online Multi-Sensor Depth Fusion. CoRR abs/2204.03353 (2022) - [i306]Edoardo Mello Rella, Ajad Chhatkuli, Ender Konukoglu, Luc Van Gool:
Neural Vector Fields for Surface Representation and Inference. CoRR abs/2204.06552 (2022) - [i305]Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool:
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CoRR abs/2204.07908 (2022) - [i304]Lukas Hoyer, Dengxin Dai, Luc Van Gool:
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. CoRR abs/2204.13132 (2022) - [i303]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. CoRR abs/2205.05467 (2022) - [i302]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, et al.:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2205.05675 (2022) - [i301]Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool:
Revisiting Random Channel Pruning for Neural Network Compression. CoRR abs/2205.05676 (2022) - [i300]Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging. CoRR abs/2205.10102 (2022) - [i299]Jing Lin, Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool:
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration. CoRR abs/2205.10195 (2022) - 2021
- [j155]Shurong Sheng, Katrien Laenen, Luc Van Gool, Marie-Francine Moens:
Fine-Grained Cross-Modal Retrieval for Cultural Items with Focal Attention and Hierarchical Encodings. Comput. 10(9): 105 (2021) - [j154]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory. Int. J. Comput. Vis. 129(1): 246-266 (2021) - [j153]Dengxin Dai, Robby T. Tan, Vishal Patel, Jiri Matas, Bernt Schiele, Luc Van Gool:
Guest Editorial: Special Issue on "Computer Vision for All Seasons: Adverse Weather and Lighting Conditions". Int. J. Comput. Vis. 129(7): 2031-2033 (2021) - [j152]Yuhua Chen, Haoran Wang, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Scale-Aware Domain Adaptive Faster R-CNN. Int. J. Comput. Vis. 129(7): 2223-2243 (2021) - [j151]Rui Gong, Wen Li, Yuhua Chen, Dengxin Dai, Luc Van Gool:
DLOW: Domain Flow and Applications. Int. J. Comput. Vis. 129(10): 2865-2888 (2021) - [j150]Dong Xu, Rama Chellappa, Luc Van Gool, Guo Lu:
Guest Editorial: Special Issue on Deep Learning for Video Analysis and Compression. Int. J. Comput. Vis. 129(12): 3171-3173 (2021) - [j149]Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte:
Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model. IEEE J. Sel. Top. Signal Process. 15(2): 388-401 (2021) - [j148]Timothy Callemein, Tom Roussel, Ali Diba, Floris De Feyter, Wim Boes, Luc Van Eycken, Luc Van Gool, Hugo Van hamme, Tinne Tuytelaars, Toon Goedemé:
Show me where the action is! Multim. Tools Appl. 80(1): 383-408 (2021) - [j147]Liqian Ma, Stamatios Georgoulis, Xu Jia, Luc Van Gool:
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty. IEEE Robotics Autom. Lett. 6(3): 4321-4328 (2021) - [c716]Liqian Ma, Lingjie Liu, Christian Theobalt, Luc Van Gool:
Direct Dense Pose Estimation. 3DV 2021: 721-730 - [c715]Ayça Takmaz, Danda Pani Paudel, Thomas Probst, Ajad Chhatkuli, Martin R. Oswald, Luc Van Gool:
Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes. 3DV 2021: 825-836 - [c714]Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari:
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction. 3DV 2021: 1249-1258 - [c713]Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Danda Pani Paudel, Luc Van Gool:
Analogical Image Translation for Fog Generation. AAAI 2021: 1433-1441 - [c712]Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool:
Neural Architecture Search as Sparse Supernet. AAAI 2021: 10379-10387 - [c711]Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool:
Spectral Tensor Train Parameterization of Deep Learning Layers. AISTATS 2021: 3547-3555 - [c710]Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows. CVPR 2021: 94-103 - [c709]Stefano d'Apolito, Danda Pani Paudel, Zhiwu Huang, Andrés Romero, Luc Van Gool:
GANmut: Learning Interpretable Conditional Space for Gamut of Emotions. CVPR 2021: 568-577 - [c708]Florin-Alexandru Vasluianu, Andrés Romero, Luc Van Gool, Radu Timofte:
Shadow Removal With Paired and Unpaired Learning. CVPR Workshops 2021: 826-835 - [c707]Tianfei Zhou, Wenguan Wang, Si Liu, Yi Yang, Luc Van Gool:
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing. CVPR 2021: 1622-1631 - [c706]Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures. CVPR 2021: 2144-2153 - [c705]Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. CVPR 2021: 3804-3814 - [c704]Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Jürgen Gall:
3D CNNs With Adaptive Temporal Feature Resolutions. CVPR 2021: 4731-4740 - [c703]Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Accurate Dense Correspondences and When To Trust Them. CVPR 2021: 5714-5724 - [c702]Nikola Popovic, Danda Pani Paudel, Thomas Probst, Guolei Sun, Luc Van Gool:
CompositeTasking: Understanding Images by Spatial Composition of Tasks. CVPR 2021: 6870-6880 - [c701]Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool:
Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation. CVPR 2021: 8197-8207 - [c700]Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, Luc Van Gool:
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation. CVPR 2021: 8344-8354 - [c699]Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Deep Burst Super-Resolution. CVPR 2021: 9209-9218 - [c698]Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flow-Based Kernel Prior With Application to Blind Super-Resolution. CVPR 2021: 10601-10610 - [c697]Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool:
Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation. CVPR 2021: 11130-11140 - [c696]M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen:
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CVPR 2021: 11225-11234 - [c695]Mohamad Shahbazi, Zhiwu Huang, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Efficient Conditional GAN Transfer With Knowledge Propagation Across Classes. CVPR 2021: 12167-12176 - [c694]Ankush Panwar, Pratyush Singh, Suman Saha, Danda Pani Paudel, Luc Van Gool:
Unsupervised Compound Domain Adaptation for Face Anti-Spoofing. FG 2021: 1-8 - [c693]Ali Diba, Vivek Sharma, Reza Safdari, Dariush Lotfi, M. Saquib Sarfraz, Rainer Stiefelhagen, Luc Van Gool:
Vi2CLR: Video and Image for Visual Contrastive Learning of Representation. ICCV 2021: 1482-1492 - [c692]Dario Fuoli, Luc Van Gool, Radu Timofte:
Fourier Space Losses for Efficient Perceptual Image Super-Resolution. ICCV 2021: 2340-2349 - [c691]Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. ICCV 2021: 2440-2450 - [c690]Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool:
Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection. ICCV 2021: 3273-3282 - [c689]Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory S. Chirikjian, Luc Van Gool:
Towards Efficient Graph Convolutional Networks for Point Cloud Handling. ICCV 2021: 3732-3742 - [c688]Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte:
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. ICCV 2021: 4056-4065 - [c687]Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution. ICCV 2021: 4076-4085 - [c686]Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte:
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution. ICCV 2021: 4771-4780 - [c685]Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool:
Exploring Cross-Image Pixel Contrast for Semantic Segmentation. ICCV 2021: 7283-7293 - [c684]Shipra Jain, Danda Pani Paudel, Martin Danelljan, Luc Van Gool:
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU. ICCV 2021: 7406-7416 - [c683]Guolei Sun, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Menelaos Kanakis, Jagruti Patel, Dengxin Dai, Luc Van Gool:
Task Switching Network for Multi-task Learning. ICCV 2021: 8271-8280 - [c682]Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink:
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. ICCV 2021: 8495-8505 - [c681]Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool:
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets. ICCV 2021: 8856-8865 - [c680]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. ICCV 2021: 10032-10042 - [c679]Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Warp Consistency for Unsupervised Learning of Dense Correspondences. ICCV 2021: 10326-10336 - [c678]Christos Sakaridis, Dengxin Dai, Luc Van Gool:
ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. ICCV 2021: 10745-10755 - [c677]Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Learning Target Candidate Association to Keep Track of What Not to Track. ICCV 2021: 13424-13434 - [c676]Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos. ICCV 2021: 13536-13546 - [c675]Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021: 15202-15212 - [c674]Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather. ICCV 2021: 15263-15272 - [c673]Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images. ICCV 2021: 15641-15650 - [c672]David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool:
Exploring Relational Context for Multi-Task Dense Prediction. ICCV 2021: 15849-15858 - [c671]Jonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino:
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation. ICCVW 2021: 923-934 - [c670]Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
SwinIR: Image Restoration Using Swin Transformer. ICCVW 2021: 1833-1844 - [c669]Angela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbelaez:
Generalized Real-World Super-Resolution through Adversarial Robustness. ICCVW 2021: 1855-1865 - [c668]Andrés Romero, Luc Van Gool, Radu Timofte:
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