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  Rui Zhao (赵睿)


Ph.D. Candidate,
School of Computer Science - Institute for Visual Technology
Peking University.

No.5 Yiheyuan Road,
Haidian District, Beijing,
Room 2728, Science Building #2, Peking University.

Email: ruizhao@stu.pku.edu.cn

Google Scholar      Linkedin      Curriculum Vitae      Curriculum Vitae(CN)

News

[2024.02] One first-authored paper for spike camera image reconstruction is accepted by CVPR 2024.

[2023.12] One first-authored paper for spike-based optical flow is accepted by AAAI 2024.

[2023.10] The website of SpikeCV open-source platform has been released! [English] [Chinese].

[2023.10] One first-authored paper for spike camera image reconstruction is accepted by TCSVT.

[2023.09] I obtain the Industrial Bank Scholarship.

[2023.09] One cooperated paper is accepted by NeurIPS 2023. Congratulations to Lujie!

[2023.01] One cooperated paper is accepted by ISCAS 2023. Congratulations to Yanchen!

[2022.11] One cooperated paper is accepted by AAAI 2023. Congratulations to Jing!

[2022.09] I obtain the UbiQuant Scholarship.

[2022.09] One first-authored paper for spike-based optical flow is accepted by NeurIPS 2022.

[2022.06] I obtain the President Scholarship for Ph.D. Student of Peking University.

[2022.03] One jointly first-authored paper for spike-based optical flow is accepted by CVPR 2022. Congratulations to Liwen!
Breif Bio
I received the B.E. degree in Communication Engineering from the Tianjin University, Tianjin, China, in 2020. I am currently pursuing the Ph.D. degree under the supervision of Prof. Ruiqin Xiong in Computer Science with Peking University, Beijing, China. My research interests include areas of image processing, computational photography and computer vision, particularly for topics related to motion estimation and neuromorphic cameras.
Education

Peking University.
2020 - present, Ph.D.,   Computer Science.

Tianjin University.
2016 - 2020,     B.Eng., Communication Engineering.

Nankai University.
2017 - 2020,     B.Ec.,    Finance. (Double Degree)

Publications
[C11] Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations
Rui Zhao, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Zhaofei Yu, and Tiejun Huang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024
[pdf comming soon] [poster] [code comming soon]
[C10] Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion
Rui Zhao, Ruiqin Xiong, Jian Zhang, Xinfeng Zhang, Zhaofei Yu, and Tiejun Huang
AAAI Conference on Artificial Intelligence (AAAI) 2024
[pdf] [poster] [code]
[J2] Spike Camera Image Reconstruction Using Deep Spiking Neural Networks
Rui Zhao, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Shuyuan Zhu, Lei Ma, and Tiejun Huang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2023
[pdf] [code]
[C9] Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
Lujie Xia, Ziluo Ding, Rui Zhao, Jiyuan Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang, and Ruiqin Xiong
Annual Conference on Neural Information Processing Systems (NeurIPS) 2023
[pdf] [code comming soon] [arxiv]
[C8] Optimization-Inspired Deep Network for Image Restoration from Partial Random Samples
Yanchen Dong, Rui Zhao, Ruiqin Xiong, Shuyuan Zhu, Xiaopeng Fan, and Tiejun Huang
IEEE International Symposium on Circuits and Systems (ISCAS) 2023
[pdf]
[C7] Learning to Super-Resolve Dynamic Scenes for Neuromorphic Spike Camera
Jing Zhao, Ruiqin Xiong, Jian Zhang, Rui Zhao, Hangfan Liu, and Tiejun Huang
AAAI Conference on Artificial Intelligence (AAAI) 2023
[pdf]
[C6] Learning Optical Flow From Continuous Spike Streams
Rui Zhao, Ruiqin Xiong, Jing Zhao, Zhaofei Yu, Xiaopeng Fan, and Tiejun Huang
Annual Conference on Neural Information Processing Systems (NeurIPS) 2022
[pdf] [poster] [code]
[C5] Optical Flow Estimation for Spiking Camera
Liwen Hu#, Rui Zhao#, Ziluo Ding, Lei Ma, Boxin Shi, Ruiqin Xiong, and Tiejun Huang.
(# Equal Contribution)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
[pdf] [arxiv] [code]
[C4] Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation
Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, and Tiejun Huang.
AAAI Conference on Artificial Intelligence (AAAI) 2022
[pdf] [arxiv] [code]
[J1] MRDFlow: Unsupervised Optical Flow Estimation Network With Multi-Scale Recurrent Decoder
Rui Zhao, Ruiqin Xiong, Ziluo Ding, Xiaopeng Fan, Jian Zhang, and Tiejun Huang.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2022
[pdf]
[C3] Recover the Residual of Residual: Recurrent Residual Refinement Network for Image Super-Resolution
Tianxiao Gao, Ruiqin Xiong, Rui Zhao, Jian Zhang, Shuyuan Zhu, and Tiejun Huang.
IEEE International Conference on Image Processing (ICIP) 2021
[pdf]
[C2] Motion Estimation for Spike Camera Data Sequence via Spike Interval Analysis
Jing Zhao, Ruiqin Xiong, Rui Zhao, Jin Wang, Siwei Ma, and Tiejun Huang.
IEEE International Conference on Visual Communications and Image Processing (VCIP) 2020
[pdf]
[C1] Optical Flow Estimation Between Images of Different Resolutions via Variational Method
Rui Zhao, Ruiqin Xiong, Shuyuan Zhu, Bing Zeng, Tiejun Huang, and Wen Gao.
IEEE International Conference on Visual Communications and Image Processing (VCIP) 2020
[pdf]
Preprints
[P1] WM-MoE: Weather-aware Multi-scale Mixture-of-Experts for Blind Adverse Weather Removal
Yulin Luo, Rui Zhao, Xiaobao Wei, Jinwei Chen, Yijie Lu, Shenghao Xie, Tianyu Wang, Ruiqin Xiong, Ming Lu, and Shanghang Zhang
Preprint - arxiv 2023
[pdf]
Projects
                SpikeCV: An Open-Source Framework for Spike Vision
Yajing Zheng, Jiyuan Zhang, Rui Zhao, Jianhao Ding, Shiyan Chen, and et al.
[Website] [Website(CN)] [Openi-Git(CN)] [Github] [pdf]
Awards Academic Services

© 2024 Rui Zhao. Thanks to Dr. Ce Liu and Dr. Deqing Sun for the template.