Hi, こんにちは, 你好 :-)

Zhihang Zhong is a researcher at Shanghai AI Lab (OpenGVLab).
In 2023, he received his Ph.D. degree in Computer Science from the University of Tokyo (UTokyo).
In 2020, he received his M.E. degree in Precision Engineering from the UTokyo.
In 2018, he received his B.E. degree in Mechatronics from Chu Kochen Honors College, Zhejiang University.

Zhihang's current research interests include:
* 4D motion modeling
* AI for sports
image/video restoration and enhancement

We are looking for highly self-motivated students (Joint Ph.D., 联合培养博士), and interns!
If you are interested, please email me with your CV and your published papers.
(P.S. We have sufficient computing resources and remote is possible)

News

[see more]
[2024.05] We release SportsStrat (浦动) on CCTV5 in support of the 2024 Thomas & Uber Cups!
[2024.03] Glad to receive the Dean's Award for Academic Achievement from the UTokyo!
[2024.02] Two papers are accepted by CVPR 2024.
[2023.12] I give a talk at OpenMMLab about temporal super-resolution.
[2023.11] Glad to release InterpAny-Clearer project!
[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

* indicates first author, indicates corresponding author
Within the Dynamic Context: Inertia-aware 3D Human Modeling with
Pose Sequence

Yutong Chen, Yifan Zhan, Zhihang Zhong, Wei Wang, Xiao Sun, Yu Qiao,
Yinqiang Zheng
Under review, 2024
project page / arXiv
Clearer Frames, Anytime: Resolving Velocity Ambiguity in Video Frame Interpolation
Zhihang Zhong*, Xiao Sun, Yu Qiao, Gurunandan Krishnan, Sizhuo Ma, Jian Wang
Under review, 2024
project page / arXiv / code / demo
DiffBody: Human Body Restoration by Imagining with Generative Diffusion Prior
Yiming Zhang, Zhe Wang, Xinjie Li, Yunchen Yuan, Chengsong Zhang, Xiao Sun,
Zhihang Zhong, Jian Wang
Under review, 2024
arXiv
IQ-VFI: Implicit Quadratic Motion Estimation for Video Frame Interpolation
Mengshun Hu, Kui Jiang, Zhihang Zhong, Zheng Wang, Yinqiang Zheng
CVPR, 2024
Fooling Polarization-based Vision using Locally Controllable Polarizing Projection
Zhuoxiao Li, Zhihang Zhong, Shohei Nobuhara, Ko Nishino, Yinqiang Zheng
CVPR, 2024
arXiv
NIR-assisted Low-light Video Enhancement Using Unpaired
24-hour Data

Muyao Niu, Zhihang Zhong, Yinqiang Zheng
ICCV, 2023
paper / code
Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation
Xiang Ji, Zhixiang Wang, Zhihang Zhong, Yinqiang Zheng
ICCV, 2023
paper
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
paper
Blur Interpolation Transformer for Real-World Motion from Blur
Zhihang Zhong*, Mingdeng Cao, Xiang Ji, Yinqiang Zheng, Imari Sato
CVPR, 2023
project page / paper / 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
paper / 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