Wu Chi Hsuan (Jason)

I am an incoming MSCS student in the University of Texas at Austin. I graduated from Hong Kong University of Science and Technology in 2023. During undergraduate, I worked on my Final Year Thesis in the Vision and System Design Lab (VSDL) supervised by Prof. Kwang-Ting Cheng. I also worked as a Research Assistant in the Information and Network Dynamics Lab at EPFL supervised by Prof. Matthias Grossglauser during exchange.

Email  /  CV  /  Medium  /  Github

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Research

I am interested in Human Poses and Behavioral Analysis using interaction between different modalities. Human behavior understanding can be improved using different modalities. For instance, can we generate text instructions to correct incorrectly performed movements, such as sport performance? These research questions connect prior behavioral studies with applications.

mocorank CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels
Wu Chi hsuan, Liu Shih Yang, Huang Xijie, Prof. Tim Kwang-Ting Cheng
CVPR Affective Behavior Analysis in-the-wild (ABAW) Workshop, 2024

We designed a multi-modal model and a contrastive ranking loss to detect student engagement in online classes. Collaborated with LifeHikes.

biasometer It's All Relative: Interpretable Models for Scoring Bias in Documents
Aswin Suresh, Wu Chi hsuan, Prof. Matthias Grossglauser
EACL The European Chapter of the ACL, 2024

We designed a interpretable model structure to detect bias articles and identify subjectivity level of each term based on the context.

Other Projects

CycleGAN Day-Night-Transfomation-for-improving-feature-matching
Computer Vision Project [Github]

We transformed illumination of day-night image pairs using CycleGAN to improve feature matching.

SR Super-Resolution on Computer Texts
Undergraduate Research Opportunity Program, Supervised by Prof. Qifeng Chen
[Github]

We designed two-stream model to simultaneuously improve text boundary clarity and colors on text images.

Miscellanea

Blog Posts

Series of Life Recording: Hong Kong Universiy of Science and Technology

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