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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
[j133]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)- [j132]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) - [j131]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) - [j130]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) - [j129]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) - [j128]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) - [j127]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) - [j126]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) - [j125]Naoya Takahashi, Michael Gygli, Luc Van Gool:
AENet: Learning Deep Audio Features for Video Analysis. IEEE Trans. Multimedia 20(3): 513-524 (2018) - [c505]Guillem Collell, Luc Van Gool, Marie-Francine Moens:
Acquiring Common Sense Spatial Knowledge Through Implicit Spatial Templates. AAAI 2018 - [c504]
- [c503]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 - [c502]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 - [c501]Louis Lettry, Kenneth Vanhoey, Luc Van Gool:
DARN: A Deep Adversarial Residual Network for Intrinsic Image Decomposition. WACV 2018: 1359-1367 - [c500]Kaili Wang, Yu-Hui Huang, José Oramas M., Luc Van Gool, Tinne Tuytelaars:
An Analysis of Human-Centered Geolocation. WACV 2018: 2058-2066 - [i112]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Object Referring in Videos with Language and Human Gaze. CoRR abs/1801.01582 (2018) - [i111]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Conditional Probability Models for Deep Image Compression. CoRR abs/1801.04260 (2018) - [i110]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) - [i109]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) - [i108]Louis Lettry, Kenneth Vanhoey, Luc Van Gool:
Deep Unsupervised Intrinsic Image Decomposition by Siamese Training. CoRR abs/1803.00805 (2018) - [i107]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) - [i106]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) - [i105]Alex Locher, Michal Havlena, Luc Van Gool:
Progressive Structure from Motion. CoRR abs/1803.07349 (2018) - [i104]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) - [i103]Zheng Liu, Jie Qin, Annan Li, Yunhong Wang, Luc Van Gool:
Adversarial Binary Coding for Efficient Person Re-identification. CoRR abs/1803.10914 (2018) - [i102]Dengxin Dai, Wen Li, Till Kroeger, Luc Van Gool:
Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning. CoRR abs/1804.02201 (2018) - [i101]Atsushi Kanehira, Luc Van Gool, Yoshitaka Ushiku, Tatsuya Harada:
Viewpoint-aware Video Summarization. CoRR abs/1804.02843 (2018) - [i100]Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Generative Adversarial Networks for Extreme Learned Image Compression. CoRR abs/1804.02958 (2018) - [i99]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) - [i98]Simon Hecker, Dengxin Dai, Luc Van Gool:
Failure Prediction for Autonomous Driving. CoRR abs/1805.01811 (2018) - [i97]Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Covariance Pooling For Facial Expression Recognition. CoRR abs/1805.04855 (2018) - [i96]Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Exemplar Guided Unsupervised Image-to-Image Translation. CoRR abs/1805.11145 (2018) - [i95]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) - 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) - [c499]Thomas Probst, Andrea Fossati, Mathieu Salzmann, Luc Van Gool:
Efficient Model-Free Anthropometry from Depth Data. 3DV 2017: 486-495 - [c498]
- [c497]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 - [c496]Bert De Brabandere, Davy Neven, Luc Van Gool:
Semantic Instance Segmentation for Autonomous Driving. CVPR Workshops 2017: 478-480 - [c495]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 - [c494]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 - [c493]Zhiwu Huang, Chengde Wan, Thomas Probst, Luc Van Gool:
Deep Learning on Lie Groups for Skeleton-Based Action Recognition. CVPR 2017: 1243-1252 - [c492]
- [c491]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 - [c490]Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Luc Van Gool:
Weakly Supervised Cascaded Convolutional Networks. CVPR 2017: 5131-5139 - [c489]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 - [c488]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 - [c487]Limin Wang, Yuanjun Xiong, Dahua Lin, Luc Van Gool:
UntrimmedNets for Weakly Supervised Action Recognition and Detection. CVPR 2017: 6402-6411 - [c486]Santiago Manen, Michael Gygli, Dengxin Dai, Luc Van Gool:
PathTrack: Fast Trajectory Annotation with Path Supervision. ICCV 2017: 290-299 - [c485]Wilfried Hartmann, Silvano Galliani, Michal Havlena, Luc Van Gool, Konrad Schindler:
Learned Multi-patch Similarity. ICCV 2017: 1595-1603 - [c484]Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Anchored Regression Networks Applied to Age Estimation and Super Resolution. ICCV 2017: 1652-1661 - [c483]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 - [c482]Luc Van Gool, Danda Pani Paudel, Adlane Habed:
Optimal Transformation Estimation with Semantic Cues. ICCV 2017: 4668-4677 - [c481]Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool:
What is Around the Camera? ICCV 2017: 5180-5188 - [c480]Yifei Wang, Wen Li, Dengxin Dai, Luc Van Gool:
Deep Domain Adaptation by Geodesic Distance Minimization. ICCV Workshops 2017: 2651-2657 - [c479]Janine Thoma, Michal Havlena, Severin Stalder, Luc Van Gool:
Augmented Reality for User-Friendly Intra-Oral Scanning. ISMAR Adjunct 2017: 97-102 - [c478]Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool:
Query-adaptive Video Summarization via Quality-aware Relevance Estimation. ACM Multimedia 2017: 582-590 - [c477]Ali Diba, Ali Mohammad Pazandeh, Luc Van Gool:
Deep visual words: Improved fisher vector for image classification. MVA 2017: 186-189 - [c476]Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, Luc Van Gool:
Pose Guided Person Image Generation. NIPS 2017: 405-415 - [c475]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 - [c474]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 - [c473]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 - [c472]Louis Lettry, Michal Perdoch, Kenneth Vanhoey, Luc J. Van Gool:
Repeated Pattern Detection Using CNN Activations. WACV 2017: 47-55 - [c471]Stamatios Georgoulis, Vincent Vanweddingen, Marc Proesmans, Luc Van Gool:
Material Classification under Natural Illumination Using Reflectance Maps. WACV 2017: 244-253 - [p8]Frank Verbiest, Marc Proesmans, Luc Van Gool:
Autonomous Mapping of the Priscilla Catacombs. Mixed Reality and Gamification for Cultural Heritage 2017: 75-98 - [i94]Naoya Takahashi, Michael Gygli, Luc Van Gool:
AENet: Learning Deep Audio Features for Video Analysis. CoRR abs/1701.00599 (2017) - [i93]Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Andrés Arbeláez, Luc Van Gool:
Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks. CoRR abs/1701.04658 (2017) - [i92]Chengde Wan, Thomas Probst, Luc J. Van Gool, Angela Yao:
Crossing Nets: Dual Generative Models with a Shared Latent Space for Hand Pose Estimation. CoRR abs/1702.03431 (2017) - [i91]Joachim Curto, Irene Zarza, Feng Yang, Alexander J. Smola, Luc Van Gool:
F2F: A Library For Fast Kernel Expansions. CoRR abs/1702.08159 (2017) - [i90]Joachim Curto, Irene Zarza, Alexander J. Smola, Luc Van Gool:
HashBox: Hash Hierarchical Segmentation exploiting Bounding Box Object Detection. CoRR abs/1702.08160 (2017) - [i89]Santiago Manen, Michael Gygli, Dengxin Dai, Luc Van Gool:
PathTrack: Fast Trajectory Annotation with Path Supervision. CoRR abs/1703.02437 (2017) - [i88]Limin Wang, Yuanjun Xiong, Dahua Lin, Luc Van Gool:
UntrimmedNets for Weakly Supervised Action Recognition and Detection. CoRR abs/1703.03329 (2017) - [i87]Wilfried Hartmann, Silvano Galliani, Michal Havlena, Konrad Schindler, Luc Van Gool:
Learned multi-patch similarity. CoRR abs/1703.08836 (2017) - [i86]Jie Song, Limin Wang, Luc Van Gool, Otmar Hilliges:
Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos. CoRR abs/1703.10898 (2017) - [i85]Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool:
Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks. CoRR abs/1704.00648 (2017) - [i84]Jordi Pont-Tuset, Federico Perazzi, Sergi Caelles, Pablo Arbelaez, Alexander Sorkine-Hornung, Luc Van Gool:
The 2017 DAVIS Challenge on Video Object Segmentation. CoRR abs/1704.00675 (2017) - [i83]Jiqing Wu, Radu Timofte, Zhiwu Huang, Luc Van Gool:
On the Relation between Color Image Denoising and Classification. CoRR abs/1704.01372 (2017) - [i82]Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Luc Van Gool:
Semantically-Guided Video Object Segmentation. CoRR abs/1704.01926 (2017) - [i81]Andrey Ignatov, Nikolay Kobyshev, Kenneth Vanhoey, Radu Timofte, Luc Van Gool:
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks. CoRR abs/1704.02470 (2017) - [i80]Ted Zhang, Dengxin Dai, Tinne Tuytelaars, Marie-Francine Moens, Luc Van Gool:
Speech-Based Visual Question Answering. CoRR abs/1705.00464 (2017) - [i79]Arun Balajee Vasudevan, Michael Gygli, Anna Volokitin, Luc Van Gool:
Query-adaptive Video Summarization via Quality-aware Relevance Estimation. CoRR abs/1705.00581 (2017) - [i78]Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool:
Temporal Segment Networks for Action Recognition in Videos. CoRR abs/1705.02953 (2017) - [i77]Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Jesse Berent, Abhinav Gupta, Rahul Sukthankar, Luc Van Gool:
WebVision Challenge: Visual Learning and Understanding With Web Data. CoRR abs/1705.05640 (2017) - [i76]Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, Luc Van Gool:
Pose Guided Person Image Generation. CoRR abs/1705.09368 (2017) - [i75]Jiqing Wu, Zhiwu Huang, Wen Li, Luc Van Gool:
Generative Autotransporters. CoRR abs/1706.02631 (2017) - [i74]Kaili Wang, Yu-Hui Huang, Luc Van Gool, José Oramas M., Tinne Tuytelaars:
An Analysis of Human-centered Geolocation. CoRR abs/1707.02905 (2017) - [i73]Tatjana Chavdarova, Pierre Baqué, Stéphane Bouquet, Andrii Maksai, Cijo Jose, Louis Lettry, Pascal Fua, Luc Van Gool, François Fleuret:
The WILDTRACK Multi-Camera Person Dataset. CoRR abs/1707.09299 (2017) - [i72]Yifei Wang, Wen Li, Dengxin Dai, Luc Van Gool:
Deep Domain Adaptation by Geodesic Distance Minimization. CoRR abs/1707.09842 (2017) - [i71]Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Fast Scene Understanding for Autonomous Driving. CoRR abs/1708.02550 (2017) - [i70]Bert De Brabandere, Davy Neven, Luc Van Gool:
Semantic Instance Segmentation with a Discriminative Loss Function. CoRR abs/1708.02551 (2017) - [i69]Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Luc Van Gool:
WebVision Database: Visual Learning and Understanding from Web Data. CoRR abs/1708.02862 (2017) - [i68]Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Semantic Foggy Scene Understanding with Synthetic Data. CoRR abs/1708.07819 (2017) - [i67]Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Kenneth Vanhoey, Luc Van Gool:
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras. CoRR abs/1709.01118 (2017) - [i66]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. CoRR abs/1709.05665 (2017) - [i65]Kevis-Kokitsi Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool:
Video Object Segmentation Without Temporal Information. CoRR abs/1709.06031 (2017) - [i64]Vivek Sharma, Ali Diba, Davy Neven, Michael S. Brown, Luc Van Gool, Rainer Stiefelhagen:
Classification Driven Dynamic Image Enhancement. CoRR abs/1710.07558 (2017) - [i63]Eirikur Agustsson, Alexander Sage, Radu Timofte, Luc Van Gool:
Optimal transport maps for distribution preserving operations on latent spaces of Generative Models. CoRR abs/1711.01970 (2017) - [i62]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Object Referring in Visual Scene with Spoken Language. CoRR abs/1711.03800 (2017) - [i61]Guillem Collell, Luc Van Gool, Marie-Francine Moens:
Acquiring Common Sense Spatial Knowledge through Implicit Spatial Templates. CoRR abs/1711.06821 (2017) - [i60]Ali Diba, Vivek Sharma, Rainer Stiefelhagen, Luc Van Gool:
Object Discovery By Generative Adversarial & Ranking Networks. CoRR abs/1711.08174 (2017) - [i59]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Amir Hossein Karami, Mohammad Mahdi Arzani, Rahman Yousefzadeh, Luc Van Gool:
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification. CoRR abs/1711.08200 (2017) - [i58]Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao:
Dense 3D Regression for Hand Pose Estimation. CoRR abs/1711.08996 (2017) - [i57]Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz:
Natural and Effective Obfuscation by Head Inpainting. CoRR abs/1711.09001 (2017) - [i56]Kevis-Kokitsi Maninis, Sergi Caelles, Jordi Pont-Tuset, Luc Van Gool:
Deep Extreme Cut: From Extreme Points to Object Segmentation. CoRR abs/1711.09081 (2017) - [i55]Limin Wang, Wei Li, Wen Li, Luc Van Gool:
Appearance-and-Relation Networks for Video Classification. CoRR abs/1711.09125 (2017) - [i54]Miriam Bellver, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Xavier Giró i Nieto, Jordi Torres, Luc Van Gool:
Detection-aided liver lesion segmentation using deep learning. CoRR abs/1711.11069 (2017) - [i53]Bernhard Kratzwald, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Towards an Understanding of Our World by GANing Videos in the Wild. CoRR abs/1711.11453 (2017) - [i52]Yuhua Chen, Wen Li, Luc Van Gool:
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes. CoRR abs/1711.11556 (2017) - [i51]Zhiwu Huang, Bernhard Kratzwald, Danda Pani Paudel, Jiqing Wu, Luc Van Gool:
Face Translation between Images and Videos using Identity-aware CycleGAN. CoRR abs/1712.00971 (2017) - [i50]Jiqing Wu, Zhiwu Huang, Janine Thoma, Luc Van Gool:
Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation. CoRR abs/1712.01026 (2017) - [i49]Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool:
Iterative Deep Learning for Network Topology Extraction. CoRR abs/1712.01217 (2017) - [i48]Zhiwu Huang, Jiqing Wu, Luc Van Gool:
Manifold-valued Image Generation with Wasserstein Adversarial Networks. CoRR abs/1712.01551 (2017) - [i47]Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz:
Disentangled Person Image Generation. CoRR abs/1712.02621 (2017) - [i46]Yu-Hui Huang, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Error Correction for Dense Semantic Image Labeling. CoRR abs/1712.03812 (2017) - [i45]Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks. CoRR abs/1712.04407 (2017) - [i44]Asha Anoosheh, Eirikur Agustsson, Radu Timofte, Luc Van Gool:
ComboGAN: Unrestrained Scalability for Image Domain Translation. CoRR abs/1712.06909 (2017) - 2016
- [j120]Radu Timofte, Vincent De Smet, Luc J. Van Gool:
Semantic super-resolution: When and where is it useful? Computer Vision and Image Understanding 142: 1-12 (2016) - [j119]Junseok Kwon, Ralf Dragon, Luc Van Gool:
Tracking by switching state space models. Computer Vision and Image Understanding 153: 29-36 (2016) - [j118]Radu Timofte, Junseok Kwon, Luc Van Gool:
PICASO: PIxel correspondences and SOft match selection for real-time tracking. Computer Vision and Image Understanding 153: 151-162 (2016) - [j117]Markus Mathias, Andelo Martinovic, Luc Van Gool:
ATLAS: A Three-Layered Approach to Facade Parsing. International Journal of Computer Vision 118(1): 22-48 (2016) - [j116]Marko Ristin, Matthieu Guillaumin, Juergen Gall, Luc J. Van Gool:
Incremental Learning of Random Forests for Large-Scale Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 490-503 (2016) - [j115]Junseok Kwon, Ralf Dragon, Luc Van Gool:
Joint Tracking and Ground Plane Estimation. IEEE Signal Process. Lett. 23(11): 1514-1517 (2016) - [j114]Xingping Dong, Jianbing Shen, Ling Shao, Luc J. Van Gool:
Sub-Markov Random Walk for Image Segmentation. IEEE Trans. Image Processing 25(2): 516-527 (2016) - [j113]Jiqing Wu, Radu Timofte, Luc J. Van Gool:
Demosaicing Based on Directional Difference Regression and Efficient Regression Priors. IEEE Trans. Image Processing 25(8): 3862-3874 (2016) - [j112]Ming Jiang, Xavier Boix, Gemma Roig, Juan Xu, Luc Van Gool, Qi Zhao:
Learning to Predict Sequences of Human Visual Fixations. IEEE Trans. Neural Netw. Learning Syst. 27(6): 1241-1252 (2016) - [c470]
- [c469]