| Bi-box regression for pedestrian detection and occlusion estimation C Zhou, J Yuan Proceedings of the European Conference on Computer Vision (ECCV), 135-151, 2018 | 229 | 2018 |
| Aiatrack: Attention in attention for transformer visual tracking S Gao, C Zhou, C Ma, X Wang, J Yuan European Conference on Computer Vision, 146-164, 2022 | 183 | 2022 |
| Multi-label learning of part detectors for heavily occluded pedestrian detection C Zhou, J Yuan Proceedings of the IEEE International Conference on Computer Vision, 3486-3495, 2017 | 133 | 2017 |
| Learning dynamics via graph neural networks for human pose estimation and tracking Y Yang, Z Ren, H Li, C Zhou, X Wang, G Hua Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 72 | 2021 |
| Temporal-context enhanced detection of heavily occluded pedestrians J Wu, C Zhou, M Yang, Q Zhang, Y Li, J Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 63 | 2020 |
| Discriminative feature transformation for occluded pedestrian detection C Zhou, M Yang, J Yuan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 62 | 2019 |
| Generalized relation modeling for transformer tracking S Gao, C Zhou, J Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 58 | 2023 |
| Self-mimic learning for small-scale pedestrian detection J Wu, C Zhou, Q Zhang, M Yang, J Yuan Proceedings of the 28th ACM International Conference on Multimedia, 2012-2020, 2020 | 46 | 2020 |
| Learning to integrate occlusion-specific detectors for heavily occluded pedestrian detection C Zhou, J Yuan Computer Vision–ACCV 2016: 13th Asian Conference On Computer Vision, Taipei …, 2017 | 37 | 2017 |
| Pyramidal multiple instance detection network with mask guided self-correction for weakly supervised object detection Y Xu, C Zhou, X Yu, B Xiao, Y Yang IEEE Transactions on Image Processing 30, 3029-3040, 2021 | 36 | 2021 |
| Multi-label learning of part detectors for occluded pedestrian detection C Zhou, J Yuan Pattern Recognition 86, 99-111, 2019 | 32 | 2019 |
| Occlusion pattern discovery for object detection and occlusion reasoning C Zhou, J Yuan IEEE Transactions on Circuits and Systems for Video Technology 30 (7), 2067-2080, 2019 | 23 | 2019 |
| Temporal keypoint matching and refinement network for pose estimation and tracking C Zhou, Z Ren, G Hua Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 21 | 2020 |
| Detecting spatiotemporal irregularities in videos via a 3D convolutional autoencoder M Yan, J Meng, C Zhou, Z Tu, YP Tan, J Yuan Journal of Visual Communication and Image Representation 67, 102747, 2020 | 17 | 2020 |
| Distilling inter-class distance for semantic segmentation Z Zhang, C Zhou, Z Tu arXiv preprint arXiv:2205.03650, 2022 | 14 | 2022 |
| Actor-Action Semantic segmentation with Region Masks K Dang, C Zhou, Z Tu, M Hoy, J Dauwels, J Yuan British Machine and Vision Conference (BMVC), 2018 | 13 | 2018 |
| Non-rectangular Part Discovery for Object Detection. C Zhou, J Yuan BMVC, 2014 | 10 | 2014 |
| Arbitrary-shape object localization using adaptive image grids C Zhou, J Yuan Asian Conference on Computer Vision, 71-84, 2012 | 6 | 2012 |
| Cyclic self-training with proposal weight modulation for cross-supervised object detection Y Xu, C Zhou, X Yu, Y Yang IEEE Transactions on Image Processing 32, 1992-2002, 2023 | 5 | 2023 |
| Soar: Scene-debiasing open-set action recognition Y Zhai, Z Liu, Z Wu, Y Wu, C Zhou, D Doermann, J Yuan, G Hua Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
Junsong YuanState University of New York at Buffalo在 buffalo.edu 的电子邮件经过验证
