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 | 362 | 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 | 341 | 2020 |
Self-supervised learning for stereo matching with self-improving ability Y Zhong, Y Dai, H Li arXiv preprint arXiv:1709.00930, 2017 | 232 | 2017 |
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 | 182 | 2022 |
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 | 164 | 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 | 108* | 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 | 96 | 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 | 92 | 2018 |
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 | 88 | 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 | 77 | 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 | 76 | 2020 |
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 | 75 | 2019 |
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 | 65 | 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 | 54 | 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 | 48 | 2021 |
The Devil in Linear Transformer Z Qin, XD Han, W Sun, D Li, L Kong, N Barnes, Y Zhong EMNLP, 2022 | 36 | 2022 |
Hierarchically Gated Recurrent Neural Network for Sequence Modeling Z Qin, S Yang, Y Zhong Advances in Neural Information Processing Systems (NeurIPS Spotlight), 2023 | 33 | 2023 |
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 | 26 | 2021 |
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning W Sun, J Zhang, J Wang, Z Liu, Y Zhong, T Feng, Y Guo, Y Zhang, ... CVPR, 2023 | 22 | 2023 |
Toeplitz Neural Network for Sequence Modeling Z Qin, X Han, W Sun, B He, D Li, D Li, Y Dai, L Kong, Y Zhong International Conference on Learning Representations (ICLR Spotlight), 2023 | 22 | 2023 |