| Recognizing human actions: a local SVM approach C Schuldt, I Laptev, B Caputo Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 5243 | 2004 |
| On space-time interest points I Laptev International journal of computer vision 64, 107-123, 2005 | 5011 | 2005 |
| 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 | 4661 | 2008 |
| Learning and transferring mid-level image representations using convolutional neural networks M Oquab, L Bottou, I Laptev, J Sivic Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 4163 | 2014 |
| Segmenter: Transformer for semantic segmentation R Strudel, R Garcia, I Laptev, C Schmid Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 2107 | 2021 |
| Evaluation of local spatio-temporal features for action recognition H Wang, MM Ullah, A Klaser, I Laptev, C Schmid Bmvc 2009-british machine vision conference, 124.1-124.11, 2009 | 1806 | 2009 |
| Actions in context M Marszalek, I Laptev, C Schmid 2009 IEEE conference on computer vision and pattern recognition, 2929-2936, 2009 | 1731 | 2009 |
| Hollywood in homes: Crowdsourcing data collection for activity understanding GA Sigurdsson, G Varol, X Wang, A Farhadi, I Laptev, A Gupta Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1495 | 2016 |
| Howto100m: Learning a text-video embedding by watching hundred million narrated video clips A Miech, D Zhukov, JB Alayrac, M Tapaswi, I Laptev, J Sivic Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1311 | 2019 |
| Learning from synthetic humans G Varol, J Romero, X Martin, N Mahmood, MJ Black, I Laptev, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1203 | 2017 |
| Long-term temporal convolutions for action recognition G Varol, I Laptev, C Schmid IEEE transactions on pattern analysis and machine intelligence 40 (6), 1510-1517, 2017 | 1184 | 2017 |
| Is object localization for free?-weakly-supervised learning with convolutional neural networks M Oquab, L Bottou, I Laptev, J Sivic Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1179 | 2015 |
| End-to-end learning of visual representations from uncurated instructional videos A Miech, JB Alayrac, L Smaira, I Laptev, J Sivic, A Zisserman Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 826 | 2020 |
| THUMOS challenge: Action recognition with a large number of classes YG Jiang, J Liu, AR Zamir, G Toderici, I Laptev, M Shah, R Sukthankar | 793 | 2014 |
| P-cnn: Pose-based cnn features for action recognition G Chéron, I Laptev, C Schmid Proceedings of the IEEE international conference on computer vision, 3218-3226, 2015 | 771 | 2015 |
| The thumos challenge on action recognition for videos “in the wild” H Idrees, AR Zamir, YG Jiang, A Gorban, I Laptev, R Sukthankar, M Shah Computer Vision and Image Understanding 155, 1-23, 2017 | 669 | 2017 |
| Retrieving actions in movies I Laptev, P Pérez 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 593 | 2007 |
| Learning joint reconstruction of hands and manipulated objects Y Hasson, G Varol, D Tzionas, I Kalevatykh, MJ Black, I Laptev, C Schmid Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 582 | 2019 |
| Hand gesture recognition using multi-scale colour features, hierarchical models and particle filtering L Bretzner, I Laptev, T Lindeberg Proceedings of fifth IEEE international conference on automatic face gesture …, 2002 | 533 | 2002 |
| Bodynet: Volumetric inference of 3d human body shapes G Varol, D Ceylan, B Russell, J Yang, E Yumer, I Laptev, C Schmid Proceedings of the European conference on computer vision (ECCV), 20-36, 2018 | 519 | 2018 |
Cordelia SchmidResearch director INRIA ยืนยันอีเมลแล้วที่ inria.fr