| Residual Attention Network for Image Classification F Wang, M Jiang, C Qian, S Yang, C Li, H Zhang, X Wang, X Tang The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3156-3164, 2017 | 4567 | 2017 |
| The seventh visual object tracking vot2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 592 | 2019 |
| The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 353 | 2020 |
| Ppdm: Parallel point detection and matching for real-time human-object interaction detection Y Liao, S Liu, F Wang, Y Chen, C Qian, J Feng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 326 | 2020 |
| Knowledge distillation from a stronger teacher T Huang, S You, F Wang, C Qian, C Xu Advances in Neural Information Processing Systems 35, 33716-33727, 2022 | 255 | 2022 |
| The Devil of Face Recognition is in the Noise F Wang, L Chen, C Li, S Huang, Y Chen, C Qian, C Change Loy Proceedings of the European Conference on Computer Vision (ECCV), 765-780, 2018 | 254 | 2018 |
| SimMatch: Semi-supervised Learning with Similarity Matching M Zheng, S You, L Huang, F Wang, C Qian, C Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 242 | 2022 |
| Deep Comprehensive Correlation Mining for Image Clustering J Wu, K Long, F Wang, C Qian, C Li, Z Lin, H Zha Proceedings of the International Conference on Computer Vision (ICCV), 2019 | 231 | 2019 |
| A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension Y Liao, S Liu, G Li, F Wang, Y Chen, C Qian, B Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 223 | 2020 |
| Centripetalnet: Pursuing high-quality keypoint pairs for object detection Z Dong, G Li, Y Liao, F Wang, P Ren, C Qian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 207 | 2020 |
| GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet S You, T Huang, M Yang, F Wang, C Qian, C Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 177 | 2020 |
| Reformulating HOI Detection as Adaptive Set Prediction M Chen, Y Liao, S Liu, Z Chen, F Wang, C Qian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 176 | 2021 |
| A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation Y Cheng, S Huang, F Wang, C Qian, F Lu Proceedings of the AAAI Conference on Artificial Intelligence, 2020 | 156 | 2020 |
| Weakly Supervised Contrastive Learning M Zheng, F Wang, S You, C Qian, C Zhang, X Wang, C Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 142 | 2021 |
| A Keypoint-based Global Association Network for Lane Detection J Wang, Y Ma, S Huang, T Hui, F Wang, C Qian, T Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 140 | 2022 |
| Localmamba: Visual state space model with windowed selective scan T Huang, X Pei, S You, F Wang, C Qian, C Xu arXiv preprint arXiv:2403.09338, 2024 | 139 | 2024 |
| Ressl: Relational self-supervised learning with weak augmentation M Zheng, S You, F Wang, C Qian, C Zhang, X Wang, C Xu Advances in Neural Information Processing Systems 34, 2543-2555, 2021 | 113 | 2021 |
| ViTAS: Vision Transformer Architecture Search X Su, S You, J Xie, M Zheng, F Wang, C Qian, C Zhang, X Wang, C Xu arXiv preprint arXiv:2106.13700, 2021 | 93 | 2021 |
| Agree to disagree: Adaptive ensemble knowledge distillation in gradient space S Du, S You, X Li, J Wu, F Wang, C Qian, C Zhang advances in neural information processing systems 33, 12345-12355, 2020 | 90 | 2020 |
| LightViT: Towards Light-Weight Convolution-Free Vision Transformers T Huang, L Huang, S You, F Wang, C Qian, C Xu arXiv preprint arXiv:2207.05557, 2022 | 81 | 2022 |
Chen QianTsinghua UniveristyGeverifieerd e-mailadres voor mails.tsinghua.edu.cn