About Me
Qiu Shen
Associate Professor
Email: shenqiu@nju.edu.cn
Nanjing University
School of Electronic Science and Technology
Computational Imaging Technology & Engineering Lab
I am now an Associate Professor at the School of Electronic Science and Technology, Nanjing University. I received a B.S. degree and a Ph.D. degree from University of Science and Technology of China. I am currently working with Prof. Xun Cao. My research interests include Visual Compression and Processing. For students who are interested in our research area, welcome to join us.
Projects
This project is focusing on deep learning based visual compression methods, including image, video, 3D and feature compression. We are also studying to turn the compression algorithms into chip designs. More details at /AIC and our group's github link is https://github.com/NJU-CITE-Compression.
Behavioral Analysis of Model Organisms
The purpose of this project is to accurately analyze the behavior of model organisms, including nematodes, zebrafish, and mice, in order to provide support for life science experiments and applications. Technically, we focus on dense object detection, long-term multi object tracking, modeling of simple biological individuals, behavior judgment and prediction, etc.
This project is focusing on exploring the fields of Virtual Reality and Embodied Intelligence, concentrating on the perception and animation of human motion. Our goal is to achieve the mapping of human actions to digital humans and humanoid robots. Specifically, this includes research on human motion capture algorithms, human motion retargeting algorithms, and humanoid robot animation algorithms. More details at /MoCapHumanoid and our group's github link is https://github.com/NJU-CITE-MoCapHumanoid.
Team members
Ph.D
- 2025 Zhiyu Jin, Zhiyang Liang, Qingrui Zhao
- 2024 Linzhuo Chen, Yi Lu
- 2023 Peijie Diao
- 2018 Linfeng Liu
M.S.
- 2025 Tiaohao Jiang, Ziqi Liang, Jinfeng Shen
- 2024 Chengcheng Huo, Qinhui Yang
- 2023 Shenghao Ren
- 2022 Zhicheng Cai, Zhiyu Jin, Lei Wang, Tianyi Zhao
- 2021 Yi Lu, Weiye Tang
- 2020 Zehao Lin, Aiming Xu
- 2019 Yuxing Huang, Jiahui She