4 citations · 4 across the 5 of their papers we have counts for
5 papers
HAAT: Hybrid Attention Aggregation Transformer for Image Super-Resolution
Song-Jiang Lai, Tsun-Hin Cheung, Ka-Chun Fung +2
In the research area of image super-resolution, Swin-transformer-based models are favored for their global spatial modeling and shifting window attention mechanism. However, existi…
Automatic Prompt Generation and Grounding Object Detection for Zero-Shot Image Anomaly Detection
Tsun-Hin Cheung, Ka-Chun Fung, Songjiang Lai +3
Identifying defects and anomalies in industrial products is a critical quality control task. Traditional manual inspection methods are slow, subjective, and error-prone. In this wo…
Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments
Songjiang Lai, Tsun-Hin Cheung, Jiayi Zhao +3
Rolling bearings play a crucial role in industrial machinery, directly influencing equipment performance, durability, and safety. However, harsh operating conditions, such as high…
An End-to-End Two-Stream Network Based on RGB Flow and Representation Flow for Human Action Recognition
Song-Jiang Lai, Tsun-Hin Cheung, Ka-Chun Fung +2
With the rapid advancements in deep learning, computer vision tasks have seen significant improvements, making two-stream neural networks a popular focus for video based action rec…
FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking
Tsun-Hin Cheung, Kin-Man Lam
Automatic fact-checking plays a crucial role in combating the spread of misinformation. Large Language Models (LLMs) and Instruction-Following variants, such as InstructGPT and Alp…