| Revisiting the VLAD image representation J Delhumeau, PH Gosselin, H Jégou, P Pérez Proceedings of the 21st ACM international conference on Multimedia, 653-656, 2013 | 300 | 2013 |
| Revisiting the fisher vector for fine-grained classification PH Gosselin, N Murray, H Jégou, F Perronnin Pattern recognition letters 49, 92-98, 2014 | 164 | 2014 |
| Covariance descriptors for 3D shape matching and retrieval H Tabia, H Laga, D Picard, PH Gosselin Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 148 | 2014 |
| Active learning methods for interactive image retrieval PH Gosselin, M Cord IEEE Transactions on Image Processing 17 (7), 1200-1211, 2008 | 147 | 2008 |
| Higher-order occurrence pooling for bags-of-words: Visual concept detection P Koniusz, F Yan, PH Gosselin, K Mikolajczyk IEEE transactions on pattern analysis and machine intelligence 39 (2), 313-326, 2016 | 142 | 2016 |
| Improving image similarity with vectors of locally aggregated tensors D Picard, PH Gosselin 2011 18th IEEE International Conference on Image Processing, 669-672, 2011 | 100 | 2011 |
| Multiscale classification of remote sensing images JA Dos Santos, PH Gosselin, S Philipp-Foliguet, RS Torres, AX Falao IEEE Transactions on Geoscience and Remote Sensing 50 (10), 3764-3775, 2012 | 97 | 2012 |
| Evaluation of second-order visual features for land-use classification R Negrel, D Picard, PH Gosselin 2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI …, 2014 | 89 | 2014 |
| Towards high fidelity monocular face reconstruction with rich reflectance using self-supervised learning and ray tracing A Dib, C Thebault, J Ahn, PH Gosselin, C Theobalt, L Chevallier Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 71 | 2021 |
| A comparison of dense region detectors for image search and fine-grained classification A Iscen, G Tolias, PH Gosselin, H Jégou IEEE Transactions on Image Processing 24 (8), 2369-2381, 2015 | 70 | 2015 |
| A comparison of active classification methods for content-based image retrieval PH Gosselin, M Cord Proceedings of the 1st international workshop on Computer vision meets …, 2004 | 70 | 2004 |
| Stochastic exploration and active learning for image retrieval M Cord, PH Gosselin, S Philipp-Foliguet Image and Vision Computing 25 (1), 14-23, 2007 | 64 | 2007 |
| Combining visual dictionary, kernel-based similarity and learning strategy for image category retrieval PH Gosselin, M Cord, S Philipp-Foliguet Computer vision and image understanding 110 (3), 403-417, 2008 | 56 | 2008 |
| Compact vectors of locally aggregated tensors for 3D shape retrieval H Tabia, D Picard, H Laga, PH Gosselin Eurographics workshop on 3D object retrieval, -, 2013 | 51 | 2013 |
| Interactive multiscale classification of high-resolution remote sensing images JA dos Santos, PH Gosselin, S Philipp-Foliguet, RS Torres, AX Falcao IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013 | 51 | 2013 |
| Practical face reconstruction via differentiable ray tracing A Dib, G Bharaj, J Ahn, C Thébault, P Gosselin, M Romeo, L Chevallier Computer Graphics Forum 40 (2), 153-164, 2021 | 50 | 2021 |
| Challenges in content-based image indexing of cultural heritage collections D Picard, PH Gosselin, MC Gaspard IEEE Signal Processing Magazine 32 (4), 95-102, 2015 | 45 | 2015 |
| Higher-order occurrence pooling on mid-and low-level features: Visual concept detection P Koniusz, F Yan, PH Gosselin, K Mikolajczyk | 43 | 2013 |
| Efficient image signatures and similarities using tensor products of local descriptors D Picard, PH Gosselin Computer Vision and Image Understanding 117 (6), 680-687, 2013 | 40 | 2013 |
| RETIN AL: An active learning strategy for image category retrieval PH Gosselin, M Cord 2004 International Conference on Image Processing, 2004. ICIP'04. 4, 2219-2222, 2004 | 35 | 2004 |
David PicardLIGM, Ecole des Ponts ParisTech (ENPC)Verified email at enpc.fr
