47 citations · 69 across the 11 of their papers we have counts for
11 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…
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification
Mridula Vijendran, Frederick W. B. Li, Jingjing Deng +1
Painting classification plays a vital role in organizing, finding, and suggesting artwork for digital and classic art galleries. Existing methods struggle with adapting knowledge f…
MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
Kanglei Zhou, Liyuan Wang, Xingxing Zhang +4
Action Quality Assessment (AQA) evaluates diverse skills but models struggle with non-stationary data. We propose Continual AQA (CAQA) to refine models using sparse new data. Featu…
Enhancing Surgical Performance in Cardiothoracic Surgery with Innovations from Computer Vision and Artificial Intelligence: A Narrative Review
Merryn D. Constable, Hubert P. H. Shum, Stephen Clark
When technical requirements are high, and patient outcomes are critical, opportunities for monitoring and improving surgical skills via objective motion analysis feedback may be pa…
On the Design Fundamentals of Diffusion Models: A Survey
Ziyi Chang, George Alex Koulieris, Hyung Jin Chang +1
Diffusion models are learning pattern-learning systems to model and sample from data distributions with three functional components namely the forward process, the reverse process,…
Semi-Supervised Crowd Counting from Unlabeled Data
Haoran Duan, Fan Wan, Rui Sun +6
Automatic Crowd behavior analysis can be applied to effectively help the daily transportation statistics and planning, which helps the smart city construction. As one of the most i…