Chengxin Pang — accepted AI-conference papers

2024

DyHGDAT: Dynamic Hypergraph Dual Attention Network for multi-agent trajectory prediction

Weilong Lin, Xinhua Zeng, Chengxin Pang, Jing Teng, Jing Liu

ICRA 2024poster

Modeling the interactions among agents based on their historical trajectories is key to precise multi-agent trajectory prediction. Hypergraph Convolutional Networks (HGCN) have become a proper choice for capturing high-order interactions among agents in this field. However, most existing works only…

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2023

Spatial-Temporal Graph Convolutional Network Boosted Flow-Frame Prediction For Video Anomaly Detection

Kai Cheng, Xinhua Zeng, Yang Liu, Mengyang Zhao, Chengxin Pang, Xing Hu

ICASSP 2023accepted

Video Anomaly Detection (VAD) is a critical technology for intelligent surveillance systems and remains a challenging task in the signal processing community. An intuitive idea for VAD is to use a two-stream network to learn appearance and motion normality, respectively. However, existing approaches…

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