Chao Feng
I am a second-year master's student at the University of Michigan (UMich) majoring in Electrical and Computer Engineering (ECE) of EECS Department, advised by Prof. Andrew Owens.
I got my Bachelor's degree in Electronic Information Engineering from University of Electronic Science and Technology of China (UESTC), where I was advised by Prof. Shuaicheng Liu.
Email: chfeng at umich dot edu
I am currently applying for Ph.D. positions for Fall 2023!
Email  / 
CV  / 
Google Scholar  / 
Github
|
|
Research
I'm interested in computer vision, self-supervised learning, representation learning, audio-visual learning, multimodal learning, and image forensics. I am also open to other areas!
|
|
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
Chao Feng,
Ziyang Chen,
Andrew Owens,
Under Review
project page
/
arXiv
/
code
We learn several feature sets in a self-supervised manner by using audio-visual synchronization task and utilize autoregressive model to do anomaly detection on top of each feature set for video forensics detection.
|
|
ACML: Augmented Competitive Metric Learning for Image Ordinal Classification
Chao Zhang*,
Chao Feng*,
Jianmei Cheng,
Shuaicheng Liu,
Ce Zhu,
Under Review
project page
/
arXiv
/
code
We design a novel loss to embed ordinal information into training procedure and use augmented way to learn discriminative representation for image ordinal classification (IOC) task .
|
|
AVA-AVD: Audio-Visual Speaker Diarization in the Wild
Eric Zhongcong Xu,
Zeyang Song,
Satoshi Tsutsui,
Chao Feng,
Mang Ye,
Mike Zheng Shou,
ACM Multimedia, 2022
project page
/
arXiv
/
code
We create the AVA Audio-Visual Diarization (AVA-AVD) dataset to develop diarization methods for in-the-wild videos.
|
|
NeRF implementation
code
|
|
Image Super-Resolution
EECS 598 project
code
|
|
MTCSNN: Multi-task Clinical Siamese Neural Network for Diabetic Retinopathy Severity Prediction
EECS 545 final project
code
|
|