Xingyi Li (李星毅)

I am a master's student at the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology (HUST), advised by Prof. Zhiguo Cao. Before that, I received my bachelor's degree from HUST in 2021.

Email  /  Google Scholar  /  GitHub

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Education
M.Phil. | School of Artificial Intelligence and Automation, Huazhong University of Science and Technology
Time: Sep. 2021 - Present
Advisor: Prof. Zhiguo Cao

B.Eng. | School of Artificial Intelligence and Automation, Huazhong University of Science and Technology
Time: Sep. 2017 - Jun. 2021

Experience
Research Assistant | S-Lab for Advanced Intelligence, Nanyang Technological University
Time: Feb. 2023 - Present
Advisor: Prof. Guosheng Lin

Algorithm Intern | Xi'an Reserach & Development Institute, Huawei
Time: Jul. 2022 - Sep. 2022
Advisor: Dr. Weicai Zhong

Publications
3D Cinemagraphy from a Single Image
Xingyi Li, Zhiguo Cao, Huiqiang Sun, Jianming Zhang, Ke Xian, Guosheng Lin
CVPR, 2023
project / paper / arXiv / video / code / supplementary / poster

SymmNeRF: Learning to Explore Symmetry Prior for Single-View View Synthesis
Xingyi Li, Chaoyi Hong, Yiran Wang, Zhiguo Cao, Ke Xian, Guosheng Lin
ACCV, 2022   (Oral Presentation)
paper / arXiv / video / code / supplementary / poster

DoF-NeRF: Depth-of-Field Meets Neural Radiance Fields
Zijin Wu, Xingyi Li, Juewen Peng, Hao Lu, Zhiguo Cao, Weicai Zhong
ACM MM, 2022
paper / arXiv / video / code / supplementary

Less is More: Consistent Video Depth Estimation with Masked Frames Modeling
Yiran Wang, Zhiyu Pan, Xingyi Li, Zhiguo Cao, Ke Xian, Jianming Zhang
ACM MM, 2022
paper / arXiv / video / code / supplementary / poster

Background-Aware Domain Adaptation for Plant Counting
Min Shi, Xing-Yi Li, Hao Lu, Zhi-Guo Cao
Frontiers in Plant Science, 2022
paper

Knowledge distillation for fast and accurate monocular depth estimation on mobile devices
Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao
CVPRW, 2021 (Runner-Up Award)
paper

Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, et al.
CVPRW, 2021
paper

Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study
Hongling Zhu, Cheng Cheng, Hang Yin, Xingyi Li, Ping Zuo, Jia Ding, Fan Lin, Jingyi Wang, Beitong Zhou, Yonge Li, Shouxing Hu, Yulong Xiong, Binran Wang, Guohua Wan, Xiaoyun Yang, Ye Yuan
The Lancet Digital Health, 2(7):e348-e357, 2020
paper

Projects
SAD: Segment Any RGBD
Jun Cen, Yizheng Wu, Kewei Wang, Xingyi Li, Jingkang Yang, Yixuan Pei, Lingdong Kong,
Got more than 500 stars on Github, and more than 1k Likes and 140k Views on Twitter!
arXiv / code


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