Yao-Jen Chang

Yao-Jen Chang is a researcher specializing in computer vision and machine learning, with significant contributions to 3D reconstruction, image registration, and biometric authentication systems. His work often involves collaboration with Tsuhan Chen at Cornell University and explores active learning frameworks, multi-view object recognition, and reinforcement learning applications.

• Key research areas: 3D modeling, multimedia security, and video processing
• Collaborations include National Tsing Hua University and Cornell University

Research Trends

Recent publications focus on:

• Deep reinforcement learning for image alignment
• User-interactive 3D reconstruction
• Biometric key generation for security
• Multi-view object recognition algorithms