19 papers
Evaluating Large Language Model Performance on International Maritime Dangerous Goods Code Compliance
Alexander Thomas, Hubert P. H. Shum, Darren Nellis +4
The transport of dangerous goods by sea is a high-consequence activity governed by the International Maritime Dangerous Goods (IMDG) Code, a complex regulatory framework where erro…
NeuroPath: Brain-Inspired Dual-Pathway Graph Convolutional Networks for Skeleton-Based Action Recognition
Kanglei Zhou, Ruizhi Cai, Hubert P. H. Shum +2
Skeleton-based action recognition aims to recognize human actions from sequences of human joint coordinates. Most existing Spatial-Temporal Graph Convolutional Networks (STGCNs) ha…
MDTD-ArtIR: Benchmarking Image Editing and Restoration Models for Art Image Restoration under Texture-Overlay Degradations
Mridula Vijendran, Shuang Chen, Hubert P. H. Shum
Restoring severely degraded visual media still remains a formidable challenge, as existing methods often hallucinate unnatural textures and contents, struggle with preserving color…
Cross-view Multimodal Vision-Based Assessment Framework for Traditional Chinese Medicine Rehabilitation Training
Francis Xiatian Zhang, Hao Yao, Shengxuan Chen +4
Vision-based assessment can provide convenient and cost-effective evaluation in Traditional Chinese Medicine (TCM) rehabilitation training, where action quality assessment (AQA) fr…
VeriDrive: Verifiable Counterfactual Supervision for Cost-Efficient Vision-Language Planning
Zikai Zhang, Hubert P. H. Shum, Toby P. Breckon
Vision-language driving models increasingly use reasoning supervision to bridge perception, prediction, and planning, but existing driving rationales are often free-form and expens…
A Comprehensive Survey of Action Quality Assessment: Method and Benchmark
Kanglei Zhou, Ruizhi Cai, Liyuan Wang +2
Action Quality Assessment (AQA) aims to automatically evaluate how well human actions are performed and has been widely applied in sports analysis, skill assessment, and healthcare…