Shenghao Chen — accepted AI-conference papers

2026

Amplifying Discrepancies: Exploiting Macro and Micro Inconsistencies for Image Manipulation Localization

Shenghao Chen, Yibo Zhao, Tianyi Wang, Chunjie Ma, Weili Guan, Ming Li +1

AAAI 2026technical

The rapid development of image manipulation technologies poses significant challenges to multimedia forensics, especially in accurate localization of manipulated regions. Existing methods often fail to fully explore the intrinsic discrepancies between manipulated and authentic regions, resulting in

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2021

Two-stream 2D/3D Residual Networks for Learning Robot Manipulations from Human Demonstration Videos

Xin Xu, Kun Qian, Bo Zhou, Shenghao Chen, Yitong Li

ICRA 2021poster

Learning manipulation skills from observing human demonstration videos is a promising aspect for intelligent robotic systems. Recent advances in video to command provide an end-to-end approach to translate a video into robot plans. However, the general video captioning methods focus more on the unde…

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