Yu-Cheng Chang — accepted AI-conference papers

2026

Neuro-Cognitive Reward Modeling for Human-Centered Autonomous Vehicle Control

Zhuoli Zhuang, Yu-Cheng Chang, Yu-Kai Wang, Thomas Do, Chin-Teng Lin

CVPR 2026

Recent advancements in computer vision have accelerated the development of autonomous driving. Despite these advancements, training machines to drive in a way that aligns with human expectations remains a significant challenge. Human factors are still essential, as humans possess a sophisticated cog

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2021

S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation

Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Yu-Cheng Chang, Tsung-Lin Tsou +2

CVPR 2021poster

Dense depth estimation plays a key role in multiple applications such as robotics, 3D reconstruction, and augmented reality. While sparse signal, e.g., LiDAR and Radar, has been leveraged as guidance for enhancing dense depth estimation, the improvement is limited due to its low density and imbalanc…

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