Unsupervised representation learning by predicting image rotations S Gidaris, P Singh, N Komodakis arXiv preprint arXiv:1803.07728, 2018 | 1778 | 2018 |
Object detection via a multi-region and semantic segmentation-aware cnn model S Gidaris, N Komodakis Proceedings of the IEEE international conference on computer vision, 1134-1142, 2015 | 791 | 2015 |
Dynamic few-shot visual learning without forgetting S Gidaris, N Komodakis Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 738 | 2018 |
Personlab: Person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model G Papandreou, T Zhu, LC Chen, S Gidaris, J Tompson, K Murphy Proceedings of the European conference on computer vision (ECCV), 269-286, 2018 | 418 | 2018 |
Boosting few-shot visual learning with self-supervision S Gidaris, A Bursuc, N Komodakis, P Pérez, M Cord Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 229 | 2019 |
Generating classification weights with gnn denoising autoencoders for few-shot learning S Gidaris, N Komodakis Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 164 | 2019 |
Locnet: Improving localization accuracy for object detection S Gidaris, N Komodakis Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 144 | 2016 |
Detect, replace, refine: Deep structured prediction for pixel wise labeling S Gidaris, N Komodakis Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 123 | 2017 |
Attend refine repeat: Active box proposal generation via in-out localization S Gidaris, N Komodakis arXiv preprint arXiv:1606.04446, 2016 | 78 | 2016 |
Learning representations by predicting bags of visual words S Gidaris, A Bursuc, N Komodakis, P Pérez, M Cord Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 52 | 2020 |
Obow: Online bag-of-visual-words generation for self-supervised learning S Gidaris, A Bursuc, G Puy, N Komodakis, M Cord, P Perez Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 23* | 2021 |
Localizing Objects with Self-Supervised Transformers and no Labels O Siméoni, G Puy, HV Vo, S Roburin, S Gidaris, A Bursuc, P Pérez, ... arXiv preprint arXiv:2109.14279, 2021 | 8 | 2021 |
Large-scale historical watermark recognition: dataset and a new consistency-based approach X Shen, I Pastrolin, O Bounou, S Gidaris, M Smith, O Poncet, M Aubry 2020 25th International Conference on Pattern Recognition (ICPR), 6810-6817, 2021 | 7 | 2021 |
QuEST: Quantized embedding space for transferring knowledge H Jain, S Gidaris, N Komodakis, P Pérez, M Cord European Conference on Computer Vision, 173-189, 2020 | 5 | 2020 |
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data C Sautier, G Puy, S Gidaris, A Boulch, A Bursuc, R Marlet arXiv preprint arXiv:2203.16258, 2022 | | 2022 |
Spatially-consistent Feature Matching and Learning for Heritage Image Analysis X Shen, R Champenois, S Ginosar, I Pastrolin, M Rousselot, O Bounou, ... International Journal of Computer Vision, 1-15, 2022 | | 2022 |
What to Hide from Your Students: Attention-Guided Masked Image Modeling I Kakogeorgiou, S Gidaris, B Psomas, Y Avrithis, A Bursuc, K Karantzalos, ... arXiv preprint arXiv:2203.12719, 2022 | | 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 arXiv preprint arXiv:2203.11160, 2022 | | 2022 |
Is active learning better than random selection for real-word tasks? FP Toukam, T Dalgaty, H Ben-Younes, N Granger, S Gidaris, C Dupont, ... | | |