Chengqun Yang — accepted AI-conference papers

2026

POLAR: A Portrait OLAT Dataset and Generative Framework for Illumination-Aware Face Modeling

Zhuo Chen, Chengqun Yang, Zhuo Su, Zheng Lv, Jingnan Gao, Xiaoyuan Zhang +2

CVPR 2026

Face relighting aims to synthesize realistic portraits under novel illumination while preserving identity and geometry. However, progress remains constrained by the limited availability of large-scale, physically consistent illumination data. To address this, we introduce POLAR, a large-scale and ph

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2025

Perceiving and Acting in First-Person: A Dataset and Benchmark for Egocentric Human-Object-Human Interactions

Liang Xu, Chengqun Yang, Zili Lin, Fei Xu, Yifan Liu, Congsheng Xu +8

ICCV 2025poster

Learning action models from real-world human-centric interaction datasets is important towards building general-purpose intelligent assistants with efficiency. However, most existing datasets only offer specialist interaction category and ignore that AI assistants perceive and act based on first-per…

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