| A performance evaluation of local descriptors K Mikolajczyk, C Schmid IEEE transactions on pattern analysis and machine intelligence 27 (10), 1615 …, 2005 | 10979 | 2005 |
| Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories S Lazebnik, C Schmid, J Ponce 2006 IEEE computer society conference on computer vision and pattern …, 2006 | 10793 | 2006 |
| Scale & affine invariant interest point detectors K Mikolajczyk, C Schmid International journal of computer vision 60, 63-86, 2004 | 5765 | 2004 |
| Learning realistic human actions from movies I Laptev, M Marszalek, C Schmid, B Rozenfeld 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008 | 4634 | 2008 |
| 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 | 4501 | 2005 |
| Product quantization for nearest neighbor search H Jegou, M Douze, C Schmid IEEE transactions on pattern analysis and machine intelligence 33 (1), 117-128, 2010 | 4480 | 2010 |
| Action recognition with improved trajectories H Wang, C Schmid Proceedings of the IEEE international conference on computer vision, 3551-3558, 2013 | 4155 | 2013 |
| Aggregating local descriptors into a compact image representation H Jégou, M Douze, C Schmid, P Pérez 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 3289 | 2010 |
| Aggregating local image descriptors into compact codes H Jégou, F Perronnin, M Douze, J Sánchez, P Pérez, C Schmid IEEE transactions on pattern analysis and machine intelligence 34 (9), 1704-1716, 2011 | 3001 | 2011 |
| Local features and kernels for classification of texture and object categories: A comprehensive study J Zhang, M Marszałek, S Lazebnik, C Schmid International journal of computer vision 73, 213-238, 2007 | 2644 | 2007 |
| Evaluation of interest point detectors C Schmid, R Mohr, C Bauckhage International Journal of computer vision 37 (2), 151-172, 2000 | 2518 | 2000 |
| Human detection using oriented histograms of flow and appearance N Dalal, B Triggs, C Schmid Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006 | 2510 | 2006 |
| Hamming embedding and weak geometric consistency for large scale image search H Jegou, M Douze, C Schmid Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 2435 | 2008 |
| Local grayvalue invariants for image retrieval C Schmid, R Mohr IEEE transactions on pattern analysis and machine intelligence 19 (5), 530-535, 1997 | 2402 | 1997 |
| A spatio-temporal descriptor based on 3d-gradients A Klaser, M Marszałek, C Schmid BMVC 2008-19th British Machine Vision Conference, 275: 1-10, 2008 | 2390 | 2008 |
| Vivit: A video vision transformer A Arnab, M Dehghani, G Heigold, C Sun, M Lučić, C Schmid ICCV 2021; arXiv preprint arXiv:2103.15691, 2021 | 2289 | 2021 |
| An affine invariant interest point detector K Mikolajczyk, C Schmid Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002 | 2262 | 2002 |
| The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 2138 | 2015 |
| Dense trajectories and motion boundary descriptors for action recognition H Wang, A Kläser, C Schmid, CL Liu International journal of computer vision 103, 60-79, 2013 | 2100 | 2013 |
| Description of interest regions with local binary patterns M Heikkilä, M Pietikäinen, C Schmid Pattern recognition 42 (3), 425-436, 2009 | 2077* | 2009 |
Ivan LaptevProfessor at MBZUAI, on leave from INRIAVerified email at inria.fr
