| Deblurring by realistic blurring K Zhang, W Luo, Y Zhong, L Ma, B Stenger, W Liu, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 577 | 2020 |
| Hierarchical neural architecture search for deep stereo matching X Cheng, Y Zhong, M Harandi, Y Dai, X Chang, H Li, T Drummond, Z Ge Advances in Neural Information Processing Systems 33, 22158-22169, 2020 | 455 | 2020 |
| cosFormer: Rethinking Softmax in Attention Z Qin, W Sun, H Deng, D Li, Y Wei, B Lv, J Yan, L Kong, Y Zhong ICLR, 2022 | 366 | 2022 |
| Self-supervised learning for stereo matching with self-improving ability Y Zhong, Y Dai, H Li arXiv preprint arXiv:1709.00930, 2017 | 275 | 2017 |
| Internlm: A multilingual language model with progressively enhanced capabilities ILM Team | 271 | 2023 |
| Adversarial spatio-temporal learning for video deblurring K Zhang, W Luo, Y Zhong, L Ma, W Liu, H Li IEEE Transactions on Image Processing 28 (1), 291-301, 2018 | 253 | 2018 |
| Audio-Visual Segmentation J Zhou, J Wang, J Zhang, W Sun, J Zhang, S Birchfield, D Guo, L Kong, ... Proceedings of the European Conference on Computer Vision, 2022 | 241 | 2022 |
| Positive Sample Propagation along the Audio-Visual Event Line J Zhou, L Zheng, Y Zhong, S Hao, M Wang Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021 | 159 | 2021 |
| RGB-D Saliency Detection via Cascaded Mutual Information Minimization Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes ... International Conference on Computer Vision, 2021 | 158* | 2021 |
| Hierarchically Gated Recurrent Neural Network for Sequence Modeling Z Qin, S Yang, Y Zhong Advances in Neural Information Processing Systems (NeurIPS Spotlight), 2023 | 149 | 2023 |
| Implicit Motion Handling for Video Camouflaged Object Detection X Cheng, H Xiong, D Fan, Y Zhong, M Harandi, T Drummond, Z Ge Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022 | 133 | 2022 |
| The Devil in Linear Transformer Z Qin, XD Han, W Sun, D Li, L Kong, N Barnes, Y Zhong EMNLP, 2022 | 120 | 2022 |
| Audio-visual segmentation with semantics J Zhou, X Shen, J Wang, J Zhang, W Sun, J Zhang, S Birchfield, D Guo, ... IJCV, 2024 | 104 | 2024 |
| Noise-aware unsupervised deep lidar-stereo fusion X *Cheng, Y *Zhong, Y Dai, P Ji, H Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 101 | 2019 |
| Hgrn2: Gated linear rnns with state expansion Z Qin, S Yang, W Sun, X Shen, D Li, W Sun, Y Zhong COLM, 2024 | 99 | 2024 |
| ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring D Li, C Xu, K Zhang, X Yu, Y Zhong, W Ren, H Suominen, H Li Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021 | 98 | 2021 |
| Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation J *Wang, Y *Zhong, Y Dai, K Zhang, P Ji, H Li Advances in Neural Information Processing Systems 33, 2020 | 98 | 2020 |
| Open-world stereo video matching with deep rnn Y Zhong, H Li, Y Dai Proceedings of the European Conference on Computer Vision (ECCV), 101-116, 2018 | 98 | 2018 |
| Unsupervised deep epipolar flow for stationary or dynamic scenes Y Zhong, P Ji, J Wang, Y Dai, H Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 89 | 2019 |
| Minimax-01: Scaling foundation models with lightning attention MiniMax arXiv preprint arXiv:2501.08313, 2025 | 84 | 2025 |
Yuchao Dai (戴玉超)Northwestern Polytechnical UniversityVerified email at nwpu.edu.cn
