2d/3d pose estimation and action recognition using multitask deep learning DC Luvizon, D Picard, H Tabia Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 604 | 2018 |
Human pose regression by combining indirect part detection and contextual information DC Luvizon, H Tabia, D Picard Computers & Graphics 85, 15-22, 2019 | 256 | 2019 |
Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings M Carvalho, R Cadène, D Picard, L Soulier, N Thome, M Cord The 41st International ACM SIGIR Conference on Research and Development in …, 2018 | 230 | 2018 |
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 | 144 | 2014 |
Learning features combination for human action recognition from skeleton sequences DC Luvizon, H Tabia, D Picard Pattern Recognition Letters 99, 13-20, 2017 | 136 | 2017 |
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition D Luvizon, D Picard, H Tabia IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 131 | 2020 |
Gossip training for deep learning M Blot, D Picard, M Cord, N Thome arXiv preprint arXiv:1611.09726, 2016 | 126 | 2016 |
Improving Image Similarity With Vectors of Locally Aggregated Tensors D Picard, PH Gosselin Image Processing (ICIP), 2011 18th IEEE International Conference on, pages …, 2011 | 99 | 2011 |
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 | 87 | 2014 |
Metric learning with horde: High-order regularizer for deep embeddings P Jacob, D Picard, A Histace, E Klein Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 77 | 2019 |
Fetril: Feature translation for exemplar-free class-incremental learning G Petit, A Popescu, H Schindler, D Picard, B Delezoide Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 68 | 2023 |
Torch. manual_seed (3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision D Picard arXiv preprint arXiv:2109.08203, 2021 | 66 | 2021 |
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation V Besnier, A Bursuc, D Picard, A Briot Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 52 | 2021 |
Deepzzle: Solving Visual Jigsaw Puzzles With Deep Learning and Shortest Path Optimization MM Paumard, D Picard, H Tabia IEEE Transactions on Image Processing 29, 3569-3581, 2020 | 51 | 2020 |
GoSGD: Distributed Optimization for Deep Learning with Gossip Exchange M Blot, D Picard, M Cord Neurocomputing 300, 287-296, 2019 | 50* | 2019 |
An application of swarm intelligence to distributed image retrieval D Picard, A Revel, M Cord Information Sciences 192 (June 2012), 71–81, 2012 | 50 | 2012 |
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 | 49 | 2013 |
Challenges in Content-Based Image Indexing of Cultural Heritage Collections D Picard, PH Gosselin, MC Gaspard Signal Processing Magazine, IEEE 32 (4), 95-102, 2015 | 43 | 2015 |
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 | 39 | 2013 |
Image reassembly combining deep learning and shortest path problem MM Paumard, D Picard, H Tabia European Conference on Computer Vision, 155-169, 2018 | 35 | 2018 |