| Speeded-up robust features (SURF) H Baya, A Essa, T Tuytelaarsb, L Van Goola Computer Vision and Image Understanding 110 (3), 346-359, 2008 | 32597* | 2008 |
| BSurf: Speeded up robust features,’’Computer Vision ECCV 2006 H Bay, T Tuytelaars, L Van Gool Lecture Notes in Computer Science, 404-417, 2006 | 32540* | 2006 |
| The pascal visual object classes (voc) challenge M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman International journal of computer vision 88 (2), 303-338, 2010 | 21799 | 2010 |
| The Pascal Visual Object Classes Challenge: A Retrospective M Everingham, SMA Eslami, L Van Gool, CKI Williams, J Winn, ... International journal of computer vision 111, 98-136, 2015 | 6779 | 2015 |
| A comparison of affine region detectors K Mikolajczyk, T Tuytelaars, C Schmid, A Zisserman, J Matas, ... International journal of computer vision 65, 43-72, 2005 | 4457 | 2005 |
| Temporal segment networks: Towards good practices for deep action recognition L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, L Van Gool European conference on computer vision, 20-36, 2016 | 4315 | 2016 |
| The PASCAL visual object classes challenge 2008 (VOC2008) results M Everingham http://www. pascal-network. org/challenges/VOC/voc2008/year= workshop/index …, 2008 | 3595 | 2008 |
| Swinir: Image restoration using swin transformer J Liang, J Cao, G Sun, K Zhang, L Van Gool, R Timofte Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 2195 | 2021 |
| Efficient non-maximum suppression A Neubeck, L Van Gool 18th international conference on pattern recognition (ICPR'06) 3, 850-855, 2006 | 2171 | 2006 |
| Food-101–mining discriminative components with random forests L Bossard, M Guillaumin, L Van Gool Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 2020 | 2014 |
| A benchmark dataset and evaluation methodology for video object segmentation F Perazzi, J Pont-Tuset, B McWilliams, L Van Gool, M Gross, ... Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1965 | 2016 |
| An adaptive color-based particle filter K Nummiaro, E Koller-Meier, L Van Gool Image and vision computing 21 (1), 99-110, 2003 | 1796 | 2003 |
| You'll never walk alone: Modeling social behavior for multi-target tracking S Pellegrini, A Ess, K Schindler, L Van Gool 2009 IEEE 12th international conference on computer vision, 261-268, 2009 | 1776 | 2009 |
| A+: Adjusted anchored neighborhood regression for fast super-resolution R Timofte, V De Smet, L Van Gool Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 1711 | 2015 |
| Self-calibration and metric reconstruction inspite of varying and unknown intrinsic camera parameters M Pollefeys, R Koch, LV Gool International Journal of Computer Vision 32 (1), 7-25, 1999 | 1648 | 1999 |
| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1646 | 2017 |
| Procedural modeling of buildings P Müller, P Wonka, S Haegler, A Ulmer, L Van Gool ACM Transactions on Graphics (TOG) 25 (3), 614-623, 2006 | 1600 | 2006 |
| Anchored neighborhood regression for fast example-based super-resolution R Timofte, V De Smet, L Van Gool Proceedings of the IEEE international conference on computer vision, 1920-1927, 2013 | 1498 | 2013 |
| Domain adaptive faster r-cnn for object detection in the wild Y Chen, W Li, C Sakaridis, D Dai, L Van Gool Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1373 | 2018 |
| Visual modeling with a hand-held camera M Pollefeys, L Van Gool, M Vergauwen, F Verbiest, K Cornelis, J Tops, ... International Journal of Computer Vision 59 (3), 207-232, 2004 | 1345 | 2004 |
| An efficient dense and scale-invariant spatio-temporal interest point detector G Willems, T Tuytelaars, L Van Gool Computer Vision–ECCV 2008, 650-663, 2008 | 1270 | 2008 |
| Learning discriminative model prediction for tracking G Bhat, M Danelljan, LV Gool, R Timofte Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1164 | 2019 |
| Dynamic filter networks X Jia, B De Brabandere, T Tuytelaars, LV Gool Advances in neural information processing systems 29, 2016 | 1108 | 2016 |
| The 2017 davis challenge on video object segmentation J Pont-Tuset, F Perazzi, S Caelles, P Arbeláez, A Sorkine-Hornung, ... arXiv preprint arXiv:1704.00675, 2017 | 1094 | 2017 |
| One-shot video object segmentation S Caelles, KK Maninis, J Pont-Tuset, L Leal-Taixé, D Cremers, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1062 | 2017 |
| On benchmarking camera calibration and multi-view stereo for high resolution imagery C Strecha, W Von Hansen, L Van Gool, P Fua, U Thoennessen Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008 | 1035 | 2008 |
| Semantic foggy scene understanding with synthetic data C Sakaridis, D Dai, L Van Gool International Journal of Computer Vision 126, 973-992, 2018 | 978 | 2018 |
| Matching widely separated views based on aftlnely invariant neighbourhoods T TUYTEIAARS, L Van Gool International Journal of Computer Vision 59 (1), 2004 | 973* | 2004 |
| Matching widely separated views based on affine invariant regions T Tuytelaars, L Van Gool International journal of computer vision 59 (1), 61-85, 2004 | 970 | 2004 |
| Deep expectation of real and apparent age from a single image without facial landmarks R Rothe, R Timofte, L Van Gool International Journal of Computer Vision 126 (2), 144-157, 2018 | 960 | 2018 |
| Pose guided person image generation L Ma, X Jia, Q Sun, B Schiele, T Tuytelaars, L Van Gool Advances in neural information processing systems 30, 2017 | 956 | 2017 |
| A mobile vision system for robust multi-person tracking A Ess, B Leibe, K Schindler, L Van Gool 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008 | 904 | 2008 |
| Robust tracking-by-detection using a detector confidence particle filter MD Breitenstein, F Reichlin, B Leibe, E Koller-Meier, L Van Gool 2009 IEEE 12th International Conference on Computer Vision, 1515-1522, 2009 | 874 | 2009 |
| Repaint: Inpainting using denoising diffusion probabilistic models A Lugmayr, M Danelljan, A Romero, F Yu, R Timofte, L Van Gool Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 855 | 2022 |
| Wide baseline stereo matching based on local, affinely invariant regions T Tuytelaars, L Van Gool British Machine Vision Conference 2, 4, 2000 | 840 | 2000 |
| Dex: Deep expectation of apparent age from a single image R Rothe, R Timofte, L Van Gool Proceedings of the IEEE international conference on computer vision …, 2015 | 816 | 2015 |
| Creating summaries from user videos M Gygli, H Grabner, H Riemenschneider, L Van Gool Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 813 | 2014 |
| Temporal segment networks for action recognition in videos L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, L Van Gool IEEE transactions on pattern analysis and machine intelligence 41 (11), 2740 …, 2018 | 811 | 2018 |
| Towards end-to-end lane detection: an instance segmentation approach D Neven, B De Brabandere, S Georgoulis, M Proesmans, L Van Gool 2018 IEEE intelligent vehicles symposium (IV), 286-291, 2018 | 809 | 2018 |
| Online multiperson tracking-by-detection from a single, uncalibrated camera MD Breitenstein, F Reichlin, B Leibe, E Koller-Meier, L Van Gool IEEE transactions on pattern analysis and machine intelligence 33 (9), 1820-1833, 2010 | 807 | 2010 |
Radu TimofteHumboldt Professor for AI and Computer Vision, University of WürzburgVerified email at uni-wuerzburg.de
