Yangwen Liang — accepted AI-conference papers

2025

3D-AMTA: Occlusion-Aware Real-Time 3D Hand Pose Estimation with Auto Mask and Token-Specific Attention

Dongfang Zhao, Menghe Zhang, Yangwen Liang, Shuangquan Wang, Kee-Bong Song, Donghoon Kim

IROS 2025

Understanding hand motion from a single RGB image is challenging due to occlusions and high articulation. This paper presents 3D-AMTA, a transformer-based framework with Auto Mask and Token-specific Attention for occlusion-aware 3D hand pose estimation (HPE). We propose two novel architectural enhan

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2022

3D Texture Super Resolution via the Rendering Loss

Rohit Ranade, Yangwen Liang, Shuangquan Wang, Dongwoon Bai, Jungwon Lee

ICASSP 2022accepted

Deep learning-based methods have made significant impact and demonstrated superior performance for the classical image and video super-resolution (SR) tasks. Yet, deep learning-based approaches to super-resolve the appearance of 3D objects are still sparse. Due to the nature of rendering 3D models,…

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