| The global k-means clustering algorithm A Likas, N Vlassis, J J Verbeek Pattern recognition 36 (2), 451-461, 2003 | 4272 | 2003 |
| Image classification with the Fisher vector: Theory and practice J Sánchez, F Perronnin, T Mensink, J Verbeek International journal of computer vision (IJCV) 105 (3), 222-245, 2013 | 1929 | 2013 |
| Is that you? Metric learning approaches for face identification M Guillaumin, J Verbeek, C Schmid International Conference on Computer Vision (ICCV), 2009 | 1077 | 2009 |
| Semantic segmentation using adversarial networks P Luc, C Couprie, S Chintala, J Verbeek NeurIPS 2016 Workshop on Adversarial Training, 2016 | 1003 | 2016 |
| Learning color names for real-world applications J Van De Weijer, C Schmid, J Verbeek, D Larlus IEEE Transactions on Image Processing (TIP) 18 (7), 1512-1523, 2009 | 889 | 2009 |
| Tagprop: Discriminative metric learning in nearest neighbor models for image auto-annotation M Guillaumin, T Mensink, J Verbeek, C Schmid International Conference on Computer Vision (ICCV), 2009 | 882 | 2009 |
| Multimodal semi-supervised learning for image classification M Guillaumin, J Verbeek, C Schmid IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010 | 579 | 2010 |
| ResMLP: Feedforward networks for image classification with data-efficient training H Touvron, P Bojanowski, M Caron, M Cord, A El-Nouby, E Grave, ... IEEE transactions on pattern analysis and machine intelligence (PAMI), 2022 | 543 | 2022 |
| Distance-Based Image Classification: Generalizing to New Classes at Near Zero Cost T Mensink, J Verbeek, F Perronnin, G Csurka Transactions on Pattern Analysis and Machine Intelligence (PAMI) 35 (11 …, 2013 | 541 | 2013 |
| XCiT: Cross-Covariance Image Transformers A El-Nouby, H Touvron, M Caron, P Bojanowski, M Douze, A Joulin, ... Advances in Neural Information Processing Systems (NeurIPS), 2021 | 518* | 2021 |
| Weakly supervised object localization with multi-fold multiple instance learning RG Cinbis, J Verbeek, C Schmid Transactions on Pattern Analysis and Machine Intelligence (PAMI) 39 (1), 189-203, 2016 | 517 | 2016 |
| Action and event recognition with fisher vectors on a compact feature set D Oneata, J Verbeek, C Schmid International Conference on Computer Vision (ICCV), 2013 | 510 | 2013 |
| Efficient greedy learning of Gaussian mixture models JJ Verbeek, N Vlassis, B Kröse Neural computation 15 (2), 469-485, 2003 | 509 | 2003 |
| FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis N Verma, E Boyer, J Verbeek IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 397 | 2018 |
| Metric learning for large scale image classification: Generalizing to new classes at near-zero cost T Mensink, J Verbeek, F Perronnin, G Csurka European Conference on Computer Vision (ECCV), 2012 | 391 | 2012 |
| A robust and efficient video representation for action recognition H Wang, D Oneata, J Verbeek, C Schmid International journal of computer vision (IJCV) 119 (3), 219-238, 2016 | 367 | 2016 |
| Areas of Attention for Image Captioning M Pedersoli, T Lucas, C Schmid, J Verbeek International Conference on Computer Vision (ICCV), 2017 | 358* | 2017 |
| DiffEdit: Diffusion-based semantic image editing with mask guidance G Couairon, J Verbeek, H Schwenk, M Cord International Conference on Learning Representations (ICLR), 2023 | 335 | 2023 |
| Region classification with Markov field aspect models J Verbeek, B Triggs IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007 | 293 | 2007 |
| Accurate image search using the contextual dissimilarity measure H Jegou, C Schmid, H Harzallah, J Verbeek Transactions on Pattern Analysis and Machine Intelligence (PAMI) 32 (1), 2-11, 2010 | 278 | 2010 |
Cordelia SchmidResearch director INRIA Verified email at inria.fr
