| 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 | 271 | 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 | 265 | 2020 |
| Self-supervised learning for stereo matching with self-improving ability Y Zhong, Y Dai, H Li arXiv preprint arXiv:1709.00930, 2017 | 205 | 2017 |
| 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 | 141 | 2018 |
| 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 | 117* | 2022 |
| 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 | 85 | 2018 |
| 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 | 77* | 2021 |
| 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 | 70 | 2021 |
| 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 | 70 | 2019 |
| 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 | 67 | 2019 |
| 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 | 64 | 2020 |
| 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 | 56 | 2021 |
| 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 | 53 | 2022 |
| Deep Two-View Structure-from-Motion Revisited J *Wang, Y *Zhong, Y Dai, S Birchfield, K Zhang, N Smolyanskiy, H Li Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021 | 36 | 2021 |
| 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 | 35 | 2022 |
| Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding W Niu, K Zhang, W Luo, Y Zhong IEEE Transactions on Image Processing, 2021 | 22 | 2021 |
| Robust multi-body feature tracker: a segmentation-free approach P Ji, H Li, M Salzmann, Y Zhong Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 18 | 2016 |
| 3D geometry-aware semantic labeling of outdoor street scenes Y Zhong, Y Dai, H Li 2018 24th International Conference on Pattern Recognition (ICPR), 2343-2349, 2018 | 16 | 2018 |
| Neural architecture search on efficient transformers and beyond Z Liu, D Li, K Lu, Z Qin, W Sun, J Xu, Y Zhong arXiv preprint arXiv:2207.13955, 2022 | 14 | 2022 |
| Getam: Gradient-weighted element-wise transformer attention map for weakly-supervised semantic segmentation W Sun, J Zhang, Z Liu, Y Zhong, N Barnes arXiv preprint arXiv:2112.02841, 2021 | 13 | 2021 |
Yuchao Dai (戴玉超)Northwestern Polytechnical UniversityVerified email at nwpu.edu.cn
