4 papers
Projection Pursuit CPCANet for Domain Generalization
Yu-Hsi Chen, Abd-Krim Seghouane
Domain Generalization (DG) aims to learn representations robust to distribution shifts. Recent geometric alignment methods, such as CPCANet, extract domain-invariant structures thr…
CPCANet: Deep Unfolding Common Principal Component Analysis for Domain Generalization
Yu-Hsi Chen, Abd-Krim Seghouane
Domain Generalization (DG) aims to learn representations that remain robust under out-of-distribution (OOD) shifts and generalize effectively to unseen target domains. While recent…
A Universal Action Space for General Behavior Analysis
Hung-Shuo Chang, Yue-Cheng Yang, Yu-Hsi Chen +6
Analyzing animal and human behavior has long been a challenging task in computer vision. Early approaches from the 1970s to the 1990s relied on hand-crafted edge detection, segment…
Deep Learning-based Animal Behavior Analysis: Insights from Mouse Chronic Pain Models
Yu-Hsi Chen, Wei-Hsin Chen, Chien-Yao Wang +3
Assessing chronic pain behavior in mice is critical for preclinical studies. However, existing methods mostly rely on manual labeling of behavioral features, and humans lack a clea…