Canhui Tang — accepted AI-conference papers

2026

TSPO: Temporal Sampling Policy Optimization for Long-form Video Language Understanding

Canhui Tang, Zifan Han, Hongbo Sun, Sanping Zhou, Xuchong Zhang, Xin Wei +4

AAAI 2026technical

Multimodal Large Language Models (MLLMs) have demonstrated significant progress in vision-language tasks, yet they still face challenges when processing long-duration video inputs. The limitation arises from MLLMs

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2024

PARE-Net: Position-Aware Rotation-Equivariant Networks for Robust Point Cloud Registration

Runzhao Yao, Shaoyi Du*, Wenting Cui, Canhui Tang, Chengwu Yang

ECCV 2024poster

"Learning rotation-invariant distinctive features is a fundamental requirement for point cloud registration. Existing methods often use rotation-sensitive networks to extract features, while employing rotation augmentation to learn an approximate invariant mapping rudely. This makes networks fragile…

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