Zhihang Zhong is a 3rd year Ph.D. student at the Department of
Computer Science, the University of Tokyo.
In 2018, he received his B.E. degree (Mixed Honors Class) from
Chu Kochen Honors College, Zhejiang University.
Zhihang's current research interests include:
image/video restoration and enhancement, and dynamic NeRF.
News
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[2023.07] Two papers are accepted by ICCV 2023.
[2023.07] One paper is accepted by ACM-MM 2023.
[2023.03] I am accepted to CVPR 2023's Doctoral Consortium.
[2023.02] Two papers are accepted by CVPR 2023.
[2022.10] I give a talk at MIPI Workshop 2022.
[2022.10] One paper is accepted by IJCV. [2022.09] I become a JSPS「日本学術振興会」DC fellow!
[2022.07] Three papers (one Oral) are accepted by ECCV 2022!
[2022.04] I become a JEM intern at Microsoft.
[2022.03] One paper is accepted by CVPR 2022.
[2021.09] I become a research intern in the Visual Computing group at MSRA.
[2021.04] I become a IIW fellow「知能社会創造フェローシップ生」of UTokyo!
[2021.04] One paper is accepted by IoTJ.
[2021.02] One paper is accepted by CVPR 2021.
[2020.11] I become a MSRA D-CORE fellow!
[2020.09] I obtain my M.E. degree from UTokyo with an outstanding thesis award!
[2020.07] One paper (Spotlight) is accepted by ECCV 2020!
[2019.12] One paper is accepted by IUI 2020.
Publications
| NIR-assisted Low-light Video Enhancement Using Unpaired 24-hour Data Muyao Niu, Zhihang Zhong, Yinqiang Zheng ICCV, 2023 code |
| Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation Xiang Ji, Zhixiang Wang, Zhihang Zhong, Yinqiang Zheng ICCV, 2023 |
| ClipCrop: Conditioned Cropping Driven by Vision-Language Model Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato ICCV Workshops, 2023 arXiv |
| Event-guided Frame Interpolation and Dynamic Range Expansion of Single Rolling Shutter Image Guixu Lin, Jin Han, Mingdeng Cao, Zhihang Zhong, Yinqiang Zheng ACM-MM, 2023 |
| Blur Interpolation Transformer for Real-World Motion from Blur Zhihang Zhong, Mingdeng Cao, Xiang Ji, Yinqiang Zheng, Imari Sato CVPR, 2023 project page / arXiv / code / zhihu |
| Visibility Constrained Wide-band Illumination Spectrum Design for Seeing-in-the-Dark Muyao Niu, Zhuoxiao Li, Zhihang Zhong, Yinqiang Zheng CVPR, 2023 arXiv / code |
| Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato ECCV, 2022 project page / paper / arXiv / code / zhihu |
| Bringing Rolling Shutter Images Alive with Dual Reversed Distortion Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato ECCV, 2022, Oral (top 2.7%) project page / paper / arXiv / code |
| Efficient Video Deblurring Guided by Motion Magnitude Yusheng Wang, Yunfan Lu, Ye Gao, Lin Wang, Zhihang Zhong, Yinqiang Zheng, Atsushi Yamashita ECCV, 2022 paper / arXiv / code |
| Towards real-world video deblurring by exploring blur formation process Mingdeng Cao, Zhihang Zhong, Yanbo Fan, Jiahao Wang, Yong Zhang, Jue Wang, Yujiu Yang, Yinqiang Zheng ECCV Workshops, 2022 paper / arXiv / code |
| Learning Adaptive Warping for Real-World Rolling Shutter Correction Mingdeng Cao, Zhihang Zhong, Jiahao Wang, Yinqiang Zheng, Yujiu Yang CVPR, 2022 paper / arXiv / code |
| Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network Zhihang Zhong, Ye Gao, Yinqiang Zheng, Bo Zheng, Imari Sato International Journal of Computer Vision (IJCV), 2022 paper / arXiv / code |
| Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes Zhihang Zhong, Yinqiang Zheng, Imari Sato CVPR, 2021 paper / arXiv / code |
| Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring Zhihang Zhong, Ye Gao, Yinqiang Zheng, Bo Zheng ECCV, 2020, Spotlight (top 5.0%) paper / arXiv / code |
| Multistream Temporal Convolutional Network for Correct/Incorrect Patient Transfer Action Detection Using Body Sensor Network Zhihang Zhong, Chingszu Lin, Masako Kanai-Pak, Jukai Maeda, Yasuko Kitajima, Mitsuhiro Nakamura, Noriaki Kuwahara, Taiki Ogata, Jun Ota IEEE Internet of Things Journal (IoTJ), 2021 paper / code |
| Development and validation of robot patient equipped with an inertial measurement unit and angular position sensors to evaluate transfer skills of nurses Chingszu Lin, Taiki Ogata, Zhihang Zhong, Masako Kanai-Pak, Jukai Maeda, Yasuko Kitajima, Mitsuhiro Nakamura, Noriaki Kuwahara, Jun Ota International Journal of Social Robotics (IJSR), 2021 paper |
| Multi-attention deep recurrent neural network for nursing action evaluation using wearable sensor Zhihang Zhong, Chingszu Lin, Taiki Ogata, Jun Ota IUI, 2020 paper |