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Semantic ScholarLuc J. Van Gool
Luc 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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2010 – today
- 2018
[j137]Louis Lettry, Kenneth Vanhoey, Luc J. Van Gool:
Unsupervised Deep Single-Image Intrinsic Decomposition using Illumination-Varying Image Sequences. Comput. Graph. Forum 37(7): 409-419 (2018)- [j136]Radu Timofte, Luc Van Gool, Ming-Hsuan Yang, Shai Avidan, Yasuyuki Matsushita, Qingxiong Yang:
Guest Editorial: Vision and Computational Photography and Graphics. Computer Vision and Image Understanding 168: 1-2 (2018) - [j135]Rasmus Rothe, Radu Timofte, Luc Van Gool:
Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks. International Journal of Computer Vision 126(2-4): 144-157 (2018) - [j134]Limin Wang, Zhe Wang, Yu Qiao, Luc Van Gool:
Transferring Deep Object and Scene Representations for Event Recognition in Still Images. International Journal of Computer Vision 126(2-4): 390-409 (2018) - [j133]Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Semantic Foggy Scene Understanding with Synthetic Data. International Journal of Computer Vision 126(9): 973-992 (2018) - [j132]Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Arbelaez, Luc Van Gool:
Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 819-833 (2018) - [j131]Wen Li, Zheng Xu, Dong Xu, Dengxin Dai, Luc Van Gool:
Domain Generalization and Adaptation Using Low Rank Exemplar SVMs. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1114-1127 (2018) - [j130]Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Efstratios Gavves, Mario Fritz, Luc Van Gool, Tinne Tuytelaars:
Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1932-1947 (2018) - [j129]Wen Li, Lin Chen, Dong Xu, Luc Van Gool:
Visual Recognition in RGB Images and Videos by Learning from RGB-D Data. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 2030-2036 (2018) - [j128]Zhiwu Huang, Ruiping Wang, Shiguang Shan, Luc Van Gool, Xilin Chen:
Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2827-2840 (2018) - [j127]Thomas Probst, Kevis-Kokitsi Maninis, Ajad Chhatkuli, Mouloud Ourak, Emmanuel B. Vander Poorten, Luc Van Gool:
Automatic Tool Landmark Detection for Stereo Vision in Robot-Assisted Retinal Surgery. IEEE Robotics and Automation Letters 3(1): 612-619 (2018) - [j126]Zhiwu Huang, Ruiping Wang, Xianqiu Li, Wenxian Liu, Shiguang Shan, Luc Van Gool, Xilin Chen:
Geometry-Aware Similarity Learning on SPD Manifolds for Visual Recognition. IEEE Trans. Circuits Syst. Video Techn. 28(10): 2513-2523 (2018) - [j125]Naoya Takahashi, Michael Gygli, Luc Van Gool:
AENet: Learning Deep Audio Features for Video Analysis. IEEE Trans. Multimedia 20(3): 513-524 (2018) - [c549]Zhiwu Huang, Jiqing Wu, Luc Van Gool:
Building Deep Networks on Grassmann Manifolds. AAAI 2018: 3279-3286 - [c548]Guillem Collell, Luc Van Gool, Marie-Francine Moens:
Acquiring Common Sense Spatial Knowledge Through Implicit Spatial Templates. AAAI 2018: 6765-6772 - [c547]Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool:
Iterative Deep Learning for Road Topology Extraction. BMVC 2018: 257 - [c546]Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz:
Disentangled Person Image Generation. CVPR 2018: 99-108 - [c545]Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Covariance Pooling for Facial Expression Recognition. CVPR Workshops 2018: 367-374 - [c544]Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset, Luc Van Gool:
Deep Extreme Cut: From Extreme Points to Object Segmentation. CVPR 2018: 616-625 - [c543]Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Kenneth Vanhoey, Luc Van Gool:
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras. CVPR Workshops 2018: 691-700 - [c542]Asha Anoosheh, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
ComboGAN: Unrestrained Scalability for Image Domain Translation. CVPR Workshops 2018: 783-790 - [c541]Radu Timofte, Shuhang Gu, Jiqing Wu, Luc Van Gool:
NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2018: 852-863 - [c540]Yu-Hui Huang, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Error Correction for Dense Semantic Image Labeling. CVPR Workshops 2018: 998-1006 - [c539]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Luc Van Gool:
Temporal 3D ConvNets Using Temporal Transition Layer. CVPR Workshops 2018: 1117-1121 - [c538]Yuhua Chen, Jordi Pont-Tuset, Alberto Montes, Luc Van Gool:
Blazingly Fast Video Object Segmentation With Pixel-Wise Metric Learning. CVPR 2018: 1189-1198 - [c537]Limin Wang, Wei Li, Wen Li, Luc Van Gool:
Appearance-and-Relation Networks for Video Classification. CVPR 2018: 1430-1439 - [c536]Sveinn Palsson, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Generative Adversarial Style Transfer Networks for Face Aging. CVPR Workshops 2018: 2084-2092 - [c535]Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Extreme Learned Image Compression with GANs. CVPR Workshops 2018: 2587-2590 - [c534]Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Domain Adaptive Faster R-CNN for Object Detection in the Wild. CVPR 2018: 3339-3348 - [c533]Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger:
RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials. CVPR 2018: 3897-3906 - [c532]Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, Rainer Stiefelhagen:
Classification-Driven Dynamic Image Enhancement. CVPR 2018: 4033-4041 - [c531]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Object Referring in Videos With Language and Human Gaze. CVPR 2018: 4129-4138 - [c530]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Conditional Probability Models for Deep Image Compression. CVPR 2018: 4394-4402 - [c529]Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet, Andrii Maksai, Cijo Jose, Timur M. Bagautdinov, Louis Lettry, Pascal Fua, Luc Van Gool, François Fleuret:
WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection. CVPR 2018: 5030-5039 - [c528]Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz:
Natural and Effective Obfuscation by Head Inpainting. CVPR 2018: 5050-5059 - [c527]Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Dense 3D Regression for Hand Pose Estimation. CVPR 2018: 5147-5156 - [c526]Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Logo Synthesis and Manipulation With Clustered Generative Adversarial Networks. CVPR 2018: 5879-5888 - [c525]Pablo Speciale, Danda Pani Paudel, Martin R. Oswald, Hayko Riemenschneider, Luc Van Gool, Marc Pollefeys:
Consensus Maximization for Semantic Region Correspondences. CVPR 2018: 7317-7326 - [c524]Atsushi Kanehira, Luc Van Gool, Yoshitaka Ushiku, Tatsuya Harada:
Viewpoint-Aware Video Summarization. CVPR 2018: 7435-7444 - [c523]Yuhua Chen, Wen Li, Luc Van Gool:
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes. CVPR 2018: 7892-7901 - [c522]
- [c521]Mengshi Qi, Jie Qin, Annan Li, Yunhong Wang, Jiebo Luo, Luc Van Gool:
stagNet: An Attentive Semantic RNN for Group Activity Recognition. ECCV (10) 2018: 104-120 - [c520]Thomas Probst, Ajad Chhatkuli, Danda Pani Paudel, Luc Van Gool:
Model-free Consensus Maximization for Non-Rigid Shapes. ECCV (4) 2018: 123-140 - [c519]Danda Pani Paudel, Luc Van Gool:
Sampling Algebraic Varieties for Robust Camera Autocalibration. ECCV (12) 2018: 275-292 - [c518]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall, Luc Van Gool:
Spatio-temporal Channel Correlation Networks for Action Classification. ECCV (4) 2018: 299-315 - [c517]Jingyi Zhang, Fumin Shen, Li Liu, Fan Zhu, Mengyang Yu, Ling Shao, Heng Tao Shen, Luc Van Gool:
Generative Domain-Migration Hashing for Sketch-to-Image Retrieval. ECCV (2) 2018: 304-321 - [c516]Simon Hecker, Dengxin Dai, Luc Van Gool:
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners. ECCV (7) 2018: 449-468 - [c515]Jiqing Wu, Zhiwu Huang, Janine Thoma, Dinesh Acharya, Luc Van Gool:
Wasserstein Divergence for GANs. ECCV (5) 2018: 673-688 - [c514]Christos Sakaridis, Dengxin Dai, Simon Hecker, Luc Van Gool:
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding. ECCV (13) 2018: 707-724 - [c513]Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length. ECCV (13) 2018: 776-793 - [c512]Vincent Vanweddingen, Chris Vastenhoud, Marc Proesmans, Hendrik Hameeuw, Bruno Vandermeulen, Athena Van der Perre, Frederic Lemmers, Lieve Watteeuw, Luc Van Gool:
A Status Quaestionis and Future Solutions for Using Multi-light Reflectance Imaging Approaches for Preserving Cultural Heritage Artifacts. EuroMed (2) 2018: 204-211 - [c511]Longteng Kong, Jie Qin, Di Huang, Yunhong Wang, Luc Van Gool:
Hierarchical Attention and Context Modeling for Group Activity Recognition. ICASSP 2018: 1328-1332 - [c510]Shuhang Gu, Radu Timofte, Luc Van Gool:
Integrating Local and Non-local Denoiser Priors for Image Restoration. ICPR 2018: 2923-2928 - [c509]Dengxin Dai, Luc Van Gool:
Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime. ITSC 2018: 3819-3824 - [c508]Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Towards End-to-End Lane Detection: an Instance Segmentation Approach. Intelligent Vehicles Symposium 2018: 286-291 - [c507]Simon Hecker, Dengxin Dai, Luc Van Gool:
Failure Prediction for Autonomous Driving. Intelligent Vehicles Symposium 2018: 1792-1799 - [c506]Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool:
Iterative Deep Retinal Topology Extraction. Patch-MI@MICCAI 2018: 133-143 - [c505]Dries Hulens, Bram Aerts, Punarjay Chakravarty, Ali Diba, Toon Goedemé, Tom Roussel, Jeroen Zegers, Tinne Tuytelaars, Luc Van Eycken, Luc Van Gool, Hugo Van hamme, Joost Vennekens:
The CAMETRON Lecture Recording System: High Quality Video Recording and Editing with Minimal Human Supervision. MMM (1) 2018: 518-530 - [c504]Jonas Heylen, Seppe Iven, Bert De Brabandere, José Oramas M., Luc Van Gool, Tinne Tuytelaars:
From Pixels to Actions: Learning to Drive a Car with Deep Neural Networks. WACV 2018: 606-615 - [c503]Louis Lettry, Kenneth Vanhoey, Luc Van Gool:
DARN: A Deep Adversarial Residual Network for Intrinsic Image Decomposition. WACV 2018: 1359-1367 - [c502]Kaili Wang, Yu-Hui Huang, José Oramas M., Luc Van Gool, Tinne Tuytelaars:
An Analysis of Human-Centered Geolocation. WACV 2018: 2058-2066 - [i124]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Object Referring in Videos with Language and Human Gaze. CoRR abs/1801.01582 (2018) - [i123]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Conditional Probability Models for Deep Image Compression. CoRR abs/1801.04260 (2018) - [i122]Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Towards End-to-End Lane Detection: an Instance Segmentation Approach. CoRR abs/1802.05591 (2018) - [i121]Sergi Caelles, Alberto Montes, Kevis-Kokitsi Maninis, Yuhua Chen, Luc Van Gool, Federico Perazzi, Jordi Pont-Tuset:
The 2018 DAVIS Challenge on Video Object Segmentation. CoRR abs/1803.00557 (2018) - [i120]Louis Lettry, Kenneth Vanhoey, Luc Van Gool:
Deep Unsupervised Intrinsic Image Decomposition by Siamese Training. CoRR abs/1803.00805 (2018) - [i119]Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Domain Adaptive Faster R-CNN for Object Detection in the Wild. CoRR abs/1803.03243 (2018) - [i118]Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Towards Image Understanding from Deep Compression without Decoding. CoRR abs/1803.06131 (2018) - [i117]Alex Locher, Michal Havlena, Luc Van Gool:
Progressive Structure from Motion. CoRR abs/1803.07349 (2018) - [i116]Simon Hecker, Dengxin Dai, Luc Van Gool:
Learning Driving Models with a Surround-View Camera System and a Route Planner. CoRR abs/1803.10158 (2018) - [i115]Zheng Liu, Jie Qin, Annan Li, Yunhong Wang, Luc Van Gool:
Adversarial Binary Coding for Efficient Person Re-identification. CoRR abs/1803.10914 (2018) - [i114]Dengxin Dai, Wen Li, Till Kroeger, Luc Van Gool:
Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning. CoRR abs/1804.02201 (2018) - [i113]Atsushi Kanehira, Luc Van Gool, Yoshitaka Ushiku, Tatsuya Harada:
Viewpoint-aware Video Summarization. CoRR abs/1804.02843 (2018) - [i112]Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Generative Adversarial Networks for Extreme Learned Image Compression. CoRR abs/1804.02958 (2018) - [i111]Yuhua Chen, Jordi Pont-Tuset, Alberto Montes, Luc Van Gool:
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning. CoRR abs/1804.03131 (2018) - [i110]Simon Hecker, Dengxin Dai, Luc Van Gool:
Failure Prediction for Autonomous Driving. CoRR abs/1805.01811 (2018) - [i109]Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Covariance Pooling For Facial Expression Recognition. CoRR abs/1805.04855 (2018) - [i108]Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Exemplar Guided Unsupervised Image-to-Image Translation. CoRR abs/1805.11145 (2018) - [i107]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Juergen Gall, Luc Van Gool:
Spatio-Temporal Channel Correlation Networks for Action Classification. CoRR abs/1806.07754 (2018) - [i106]Thomas Probst, Ajad Chhatkuli, Danda Pani Paudel, Luc Van Gool:
Model-free Consensus Maximization for Non-Rigid Shapes. CoRR abs/1807.01963 (2018) - [i105]Shuhang Gu, Radu Timofte, Luc Van Gool:
Multi-bin Trainable Linear Unit for Fast Image Restoration Networks. CoRR abs/1807.11389 (2018) - [i104]Christos Sakaridis, Dengxin Dai, Simon Hecker, Luc Van Gool:
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding. CoRR abs/1808.01265 (2018) - [i103]Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length. CoRR abs/1808.04181 (2018) - [i102]Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool:
Iterative Deep Learning for Road Topology Extraction. CoRR abs/1808.09814 (2018) - [i101]Asha Anoosheh, Torsten Sattler, Radu Timofte, Marc Pollefeys, Luc Van Gool:
Night-to-Day Image Translation for Retrieval-based Localization. CoRR abs/1809.09767 (2018) - [i100]Andrey Ignatov, Radu Timofte, William Chou, Ke Wang, Max Wu, Tim Hartley, Luc Van Gool:
AI Benchmark: Running Deep Neural Networks on Android Smartphones. CoRR abs/1810.01109 (2018) - [i99]Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. CoRR abs/1810.01641 (2018) - [i98]Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs. CoRR abs/1810.02419 (2018) - [i97]Dengxin Dai, Luc Van Gool:
Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime. CoRR abs/1810.02575 (2018) - [i96]Xiaogang Cheng, Bin Yang, Anders Hedman, Thomas Olofsson, Haibo Li, Luc Van Gool:
Non-invasive thermal comfort perception based on subtleness magnification and deep learning for energy efficiency. CoRR abs/1811.08006 (2018) - [i95]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Practical Full Resolution Learned Lossless Image Compression. CoRR abs/1811.12817 (2018) - 2017
- [j124]András Bódis-Szomorú, Hayko Riemenschneider, Luc Van Gool:
Efficient edge-aware surface mesh reconstruction for urban scenes. Computer Vision and Image Understanding 157: 3-24 (2017) - [j123]Nikolay Kobyshev, Hayko Riemenschneider, András Bódis-Szomorú, Luc Van Gool:
Efficient architectural structural element decomposition. Computer Vision and Image Understanding 157: 300-312 (2017) - [j122]Junseok Kwon, Radu Timofte, Luc Van Gool:
Leveraging observation uncertainty for robust visual tracking. Computer Vision and Image Understanding 158: 62-71 (2017) - [j121]Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool:
DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers. International Journal of Computer Vision 124(2): 115-131 (2017) - [c501]Thomas Probst, Andrea Fossati, Mathieu Salzmann, Luc Van Gool:
Efficient Model-Free Anthropometry from Depth Data. 3DV 2017: 486-495 - [c500]
- [c499]Fabio Poiesi, Alex Locher, Paul Chippendale, Erica Nocerino, Fabio Remondino, Luc Van Gool:
Cloud-based collaborative 3D reconstruction using smartphones. CVMP 2017: 1:1-1:9 - [c498]Bert De Brabandere, Davy Neven, Luc Van Gool:
Semantic Instance Segmentation for Autonomous Driving. CVPR Workshops 2017: 478-480 - [c497]Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c496]Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Crossing Nets: Combining GANs and VAEs with a Shared Latent Space for Hand Pose Estimation. CVPR 2017: 1196-1205 - [c495]Zhiwu Huang, Chengde Wan, Thomas Probst, Luc Van Gool:
Deep Learning on Lie Groups for Skeleton-Based Action Recognition. CVPR 2017: 1243-1252 - [c494]
- [c493]Pablo Speciale, Danda Pani Paudel, Martin R. Oswald, Till Kroeger, Luc Van Gool, Marc Pollefeys:
Consensus Maximization with Linear Matrix Inequality Constraints. CVPR 2017: 5048-5056 - [c492]Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool:
Weakly Supervised Cascaded Convolutional Networks. CVPR 2017: 5131-5139 - [c491]Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool:
One-Shot Video Object Segmentation. CVPR 2017: 5320-5329 - [c490]Jie Song, Limin Wang, Luc Van Gool, Otmar Hilliges:
Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos. CVPR 2017: 5563-5572 - [c489]Limin Wang, Yuanjun Xiong, Dahua Lin, Luc Van Gool:
UntrimmedNets for Weakly Supervised Action Recognition and Detection. CVPR 2017: 6402-6411 - [c488]Santiago Manen, Michael Gygli, Dengxin Dai, Luc Van Gool:
PathTrack: Fast Trajectory Annotation with Path Supervision. ICCV 2017: 290-299 - [c487]Wilfried Hartmann, Silvano Galliani, Michal Havlena, Luc Van Gool, Konrad Schindler:
Learned Multi-patch Similarity. ICCV 2017: 1595-1603 - [c486]Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Anchored Regression Networks Applied to Age Estimation and Super Resolution. ICCV 2017: 1652-1661 - [c485]Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Kenneth Vanhoey, Luc Van Gool:
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks. ICCV 2017: 3297-3305 - [c484]Luc Van Gool, Danda Pani Paudel, Adlane Habed:
Optimal Transformation Estimation with Semantic Cues. ICCV 2017: 4668-4677 - [c483]Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool:
What is Around the Camera? ICCV 2017: 5180-5188 - [c482]Yifei Wang, Wen Li, Dengxin Dai, Luc Van Gool:
Deep Domain Adaptation by Geodesic Distance Minimization. ICCV Workshops 2017: 2651-2657 - [c481]Janine Thoma, Michal Havlena, Severin Stalder, Luc Van Gool:
Augmented Reality for User-Friendly Intra-Oral Scanning. ISMAR Adjunct 2017: 97-102 - [c480]Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool:
Query-adaptive Video Summarization via Quality-aware Relevance Estimation. ACM Multimedia 2017: 582-590 - [c479]Ali Diba, Ali Mohammad Pazandeh, Luc Van Gool:
Deep visual words: Improved fisher vector for image classification. MVA 2017: 186-189 - [c478]Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, Luc Van Gool:
Pose Guided Person Image Generation. NIPS 2017: 405-415 - [c477]Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc J. Van Gool:
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations. NIPS 2017: 1141-1151 - [c476]Eirikur Agustsson, Radu Timofte, Luc Van Gool:
k^2 k 2 -means for Fast and Accurate Large Scale Clustering. ECML/PKDD (2) 2017: 775-791 - [c475]Kenneth Vanhoey, Carlos Eduardo Porto de Oliveira, Hayko Riemenschneider, András Bódis-Szomorú, Santiago Manén, Danda Pani Paudel, Michael Gygli, Nikolay Kobyshev, Till Kroeger, Dengxin Dai, Luc Van Gool:
VarCity - the video: the struggles and triumphs of leveraging fundamental research results in a graphics video production. SIGGRAPH Talks 2017: 48:1-48:2 - [c474]Louis Lettry, Michal Perdoch, Kenneth Vanhoey, Luc J. Van Gool:
Repeated Pattern Detection Using CNN Activations. WACV 2017: 47-55 - [c473]