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Yiran Zhong
Yiran Zhong
PhD, Young Scientist in Shanghai AI Lab
在 pjlab.org.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
3622020
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
3412020
Self-supervised learning for stereo matching with self-improving ability
Y Zhong, Y Dai, H Li
arXiv preprint arXiv:1709.00930, 2017
2322017
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
1822022
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
1642018
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
962022
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
922018
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
882021
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
772019
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
762020
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
752019
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
652021
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
542022
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
482021
The Devil in Linear Transformer
Z Qin, XD Han, W Sun, D Li, L Kong, N Barnes, Y Zhong
EMNLP, 2022
362022
Hierarchically Gated Recurrent Neural Network for Sequence Modeling
Z Qin, S Yang, Y Zhong
Advances in Neural Information Processing Systems (NeurIPS Spotlight), 2023
332023
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
262021
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
222023
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
222023
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