| Self-supervised learning for stereo matching with self-improving ability Y Zhong, Y Dai, H Li arXiv preprint arXiv:1709.00930, 2017 | 154 | 2017 |
| 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 | 115 | 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, 2020 | 109 | 2020 |
| 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 | 105 | 2018 |
| 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 | 67 | 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 | 43 | 2019 |
| 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 | 39 | 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 | 32 | 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 | 25 | 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 | 21* | 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 | 18 | 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 | 17 | 2016 |
| cosFormer: Rethinking Softmax In Attention Z Qin, W Sun, H Deng, D Li, Y Wei, B Lv, J Yan, L Kong, Y Zhong International Conference on Learning Representations, 2022 | 14 | 2022 |
| 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 | 12 | 2018 |
| Null space clustering with applications to motion segmentation and face clustering P Ji, Y Zhong, H Li, M Salzmann 2014 IEEE International Conference on Image Processing (ICIP), 283-287, 2014 | 11 | 2014 |
| 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 | 9 | 2021 |
| Stereo computation for a single mixture image Y Zhong, Y Dai, H Li Proceedings of the European Conference on Computer Vision (ECCV), 435-450, 2018 | 8 | 2018 |
| 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 | 7 | 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 | 6 | 2022 |
| Displacement-Invariant Cost Computation for Stereo Matching Y Zhong, C Loop, W Byeon, S Birchfield, Y Dai, K Zhang, A Kamenev, ... International Journal of Computer Vision 130 (5), 1196-1209, 2022 | 3* | 2022 |
Hongdong LiProfessor of Computer Vision and Learning, Australian National UniversityVerified email at anu.edu.au
