| Localizing Objects with Self-Supervised Transformers and no Labels O Siméoni, G Puy, HV Vo, S Roburin, S Gidaris, A Bursuc, P Pérez, ... BMVC 2021, 2021 | 205 | 2021 |
| Rethinking deep active learning: Using unlabeled data at model training O Siméoni, M Budnik, Y Avrithis, G Gravier 2020 25th International Conference on Pattern Recognition (ICPR), 1220-1227, 2021 | 92 | 2021 |
| Local features and visual words emerge in activations O Siméoni, Y Avrithis, O Chum Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 84 | 2019 |
| Unsupervised Object Localization: Observing the Background to Discover Objects O Siméoni, C Sekkat, G Puy, A Vobecký, É Zablocki, P Pérez Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 47 | 2023 |
| Active Learning Strategies for Weakly-Supervised Object Detection HV Vo, O Siméoni, S Gidaris, A Bursuc, P Pérez, J Ponce European Conference on Computer Vision, 2022 | 28 | 2022 |
| Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation A Vobecky, D Hurych, O Siméoni, S Gidaris, A Bursuc, P Pérez, J Sivic European Conference on Computer Vision, 2022, 2022 | 24 | 2022 |
| Tracking global gene expression responses in T cell differentiation O Simeoni, V Piras, M Tomita, K Selvarajoo Gene 569 (2), 259-266, 2015 | 23 | 2015 |
| Unsupervised object discovery for instance recognition O Siméoni, A Iscen, G Tolias, Y Avrithis, O Chum 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1745-1754, 2018 | 19* | 2018 |
| CLIP-DINOiser: Teaching CLIP a few DINO tricks M Wysoczańska, O Siméoni, M Ramamonjisoa, A Bursuc, T Trzciński, ... European Conference on Computer Vision (ECCV), 2024, 2024 | 16 | 2024 |
| CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free M Wysoczańska, M Ramamonjisoa, T Trzciński, O Siméoni 2024 IEEE Winter Conference on Applications of Computer Vision (WACV), 2024 | 16 | 2024 |
| POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images A Vobecký, O Siméoni, D Hurych, S Gidaris, A Bursuc, P Pérez, J Sivic Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 16 | 2023 |
| Three pillars improving vision foundation model distillation for lidar G Puy, S Gidaris, A Boulch, O Siméoni, C Sautier, P Pérez, A Bursuc, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| Graph-based particular object discovery O Siméoni, A Iscen, G Tolias, Y Avrithis, O Chum Machine Vision and Applications 30 (2), 243-254, 2019 | 9 | 2019 |
| Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey O Siméoni, É Zablocki, S Gidaris, G Puy, P Pérez International Journal of Computer Vision (IJCV), 2024, 2024 | 6 | 2024 |
| You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation N Samet, O Siméoni, G Puy, G Ponimatkin, R Marlet, V Lepetit International Conference on Computer Vision, 2023, 2023 | 2 | 2023 |
| MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments S Gidaris, A Bursuc, O Simeoni, A Vobecky, N Komodakis, M Cord, ... arXiv preprint arXiv:2307.09361, 2023 | 1 | 2023 |
| Robust image representation for classification, retrieval and object discovery O Siméoni Université rennes1, 2020 | 1 | 2020 |
| LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Foundation Models A Cardiel, E Zablocki, O Siméoni, E Ramzi, M Cord arXiv preprint arXiv:2409.11919, 2024 | | 2024 |
| MILAN: Milli-Annotations for Lidar Semantic Segmentation N Samet, G Puy, O Siméoni, R Marlet arXiv preprint arXiv:2407.15797, 2024 | | 2024 |
| A Study of Test-time Contrastive Concepts for Open-world, Open-vocabulary Semantic Segmentation M Wysoczańska, A Vobecky, A Cardiel, T Trzciński, R Marlet, A Bursuc, ... arXiv preprint arXiv:2407.05061, 2024 | | 2024 |
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