Shunted self-attention via multi-scale token aggregation S Ren, D Zhou, S He, J Feng, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 188 | 2022 |
On feature decorrelation in self-supervised learning T Hua, W Wang, Z Xue, S Ren, Y Wang, H Zhao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 173 | 2021 |
Reciprocal transformations for unsupervised video object segmentation S Ren, W Liu, Y Liu, H Chen, G Han, S He Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 76 | 2021 |
Learning from the master: Distilling cross-modal advanced knowledge for lip reading S Ren, Y Du, J Lv, G Han, S He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 61 | 2021 |
Tenet: Triple excitation network for video salient object detection S Ren, C Han, X Yang, G Han, S He Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 59 | 2020 |
Dynast: Dynamic sparse transformer for exemplar-guided image generation S Liu, J Ye, S Ren, X Wang European Conference on Computer Vision, 72-90, 2022 | 40 | 2022 |
Co-advise: Cross inductive bias distillation S Ren, Z Gao, T Hua, Z Xue, Y Tian, S He, H Zhao Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2022 | 36 | 2022 |
A simple data mixing prior for improving self-supervised learning S Ren, H Wang, Z Gao, S He, A Yuille, Y Zhou, C Xie Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 34 | 2022 |
Multimodal knowledge expansion Z Xue, S Ren, Z Gao, H Zhao Proceedings of the IEEE/CVF International Conference on Computer Vision, 854-863, 2021 | 24 | 2021 |
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models S Ren, F Wei, Z Zhang, H Hu CVPR 2023, 2023 | 20 | 2023 |
Delving deep into many-to-many attention for few-shot video object segmentation H Chen, H Wu, N Zhao, S Ren, S He Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 19 | 2021 |
Unifying Global-Local Representations in Salient Object Detection With Transformers S Ren, N Zhao, Q Wen, G Han, S He IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 | 17 | 2024 |
The modality focusing hypothesis: Towards understanding crossmodal knowledge distillation Z Xue, Z Gao, S Ren, H Zhao arXiv preprint arXiv:2206.06487, 2022 | 17 | 2022 |
Deepmim: Deep supervision for masked image modeling S Ren, F Wei, S Albanie, Z Zhang, H Hu arXiv preprint arXiv:2303.08817, 2023 | 13 | 2023 |
Learning from multiple annotator noisy labels via sample-wise label fusion Z Gao, FK Sun, M Yang, S Ren, Z Xiong, M Engeler, A Burazer, L Wildling, ... European Conference on Computer Vision, 407-422, 2022 | 11 | 2022 |
Fine-grained domain adaptive crowd counting via point-derived segmentation Y Liu, D Xu, S Ren, H Wu, H Cai, S He 2023 IEEE International Conference on Multimedia and Expo (ICME), 2363-2368, 2023 | 10 | 2023 |
Sg-former: Self-guided transformer with evolving token reallocation S Ren, X Yang, S Liu, X Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
Self-supervision through random segments with autoregressive coding (randsac) T Hua, Y Tian, S Ren, H Zhao, L Sigal ICLR 2023, 2022 | 8 | 2022 |
Reducing spatial labeling redundancy for active semi-supervised crowd counting Y Liu, S Ren, L Chai, H Wu, D Xu, J Qin, S He IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 7 | 2022 |
Glance to count: Learning to rank with anchors for weakly-supervised crowd counting Z Xiong, L Chai, W Liu, Y Liu, S Ren, S He Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 4 | 2024 |