| Freematch: Self-adaptive thresholding for semi-supervised learning Y Wang, H Chen, Q Heng, W Hou, Y Fan, Z Wu, J Wang, M Savvides, ... arXiv preprint arXiv:2205.07246, 2022 | 361 | 2022 |
| Softmatch: Addressing the quantity-quality trade-off in semi-supervised learning H Chen, R Tao, Y Fan, Y Wang, J Wang, B Schiele, X Xie, B Raj, ... arXiv preprint arXiv:2301.10921, 2023 | 208 | 2023 |
| Usb: A unified semi-supervised learning benchmark for classification Y Wang, H Chen, Y Fan, SUN Wang, R Tao, W Hou, R Wang, L Yang, ... Thirty-sixth Conference on Neural Information Processing Systems, 2022 | 122 | 2022 |
| Parameter-free spatial attention network for person re-identification H Wang, Y Fan, Z Wang, L Jiao, B Schiele arXiv preprint arXiv:1811.12150, 2018 | 107 | 2018 |
| CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Y Fan, D Dai, A Kukleva, B Schiele Computer Vision and Pattern Recognition (CVPR), 2022, 2021 | 65 | 2021 |
| Revisiting consistency regularization for semi-supervised learning Y Fan, A Kukleva, D Dai, B Schiele International Journal of Computer Vision 131 (3), 626-643, 2023 | 63 | 2023 |
| Usb: A unified semi-supervised learning benchmark Y Wang, H Chen, Y Fan, W Sun, R Tao, W Hou, R Wang, L Yang, Z Zhou, ... Advances in Neural Information Processing Systems (NeurIPS), 2022 | 15 | 2022 |
| An embarrassingly simple baseline for imbalanced semi-supervised learning H Chen, Y Fan, Y Wang, J Wang, B Schiele, X Xie, M Savvides, B Raj arXiv preprint arXiv:2211.11086, 2022 | 15 | 2022 |
| Ssb: Simple but strong baseline for boosting performance of open-set semi-supervised learning Y Fan, A Kukleva, D Dai, B Schiele Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 9 | 2023 |
| Analyzing the dependency of ConvNets on spatial information Y Fan, Y Xian, MM Losch, B Schiele Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021 | 7 | 2021 |
| Parameter-free spatial attention network for person re-identification. arXiv 2018 H Wang, Y Fan, Z Wang, L Jiao, B Schiele arXiv preprint arXiv:1811.12150, 0 | 6 | |
| A dataset and a novel neural approach for optical Gregg shorthand recognition F Zhai, Y Fan, T Verma, R Sinha, D Klakow International Conference on Text, Speech, and Dialogue, 222-230, 2018 | 3 | 2018 |
| Toward a Diffusion-Based Generalist for Dense Vision Tasks Y Fan, Y Xian, X Zhai, A Kolesnikov, MF Naeem, B Schiele, F Tombari arXiv preprint arXiv:2407.00503, 2024 | 1 | 2024 |
| TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters H Wang, Y Fan, MF Naeem, Y Xian, JE Lenssen, L Wang, F Tombari, ... arXiv preprint arXiv:2410.23168, 2024 | | 2024 |
| Revisiting Consistency Regularization Y Fan, A Kukleva, B Schiele Pattern Recognition: 43rd DAGM German Conference, DAGM GCPR 2021, Bonn …, 2022 | | 2022 |
| A Dataset and a Novel Neural Approach for Optical Gregg Shorthand Recognition D Klakow Text, Speech, and Dialogue: 21st International Conference, TSD 2018, Brno …, 2018 | | 2018 |
| Spatial Information is Overrated for Image Classification Y Fan, Y Xian, MM Losch, B Schiele | | |
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics CampusEmail được xác minh tại mpi-inf.mpg.de
