Jiahang Cai — accepted AI-conference papers

2026

Beyond Static Frames: Temporal Aggregate-and-Restore Vision Transformer for Human Pose Estimation

Hongwei Fang, Jiahang Cai, Xun Wang, Wenwu Yang

CVPR 2026

Vision Transformers (ViTs) have recently achieved state-of-the-art performance in 2D human pose estimation due to their strong global modeling capability. However, existing ViT-based pose estimators are designed for static images and process each frame independently, thereby ignoring the temporal co

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2026

End-to-End Multi-Person Pose Estimation with Pose-Aware Video Transformer

Yonghui Yu, Jiahang Cai, Xun Wang, Wenwu Yang

AAAI 2026technical

Existing multi-person video pose estimation methods typically adopt a two-stage pipeline: detecting individuals in each frame, followed by temporal modeling for single-person pose estimation. This design relies on heuristic operations such as tracking, RoI cropping, and non-maximum suppression, limi

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