3 citations · 5 across the 4 of their papers we have counts for
4 papers
GMFVAD: Using Grained Multi-modal Feature to Improve Video Anomaly Detection
Guangyu Dai, Dong Chen, Siliang Tang +1
Video anomaly detection (VAD) is a challenging task that detects anomalous frames in continuous surveillance videos. Most previous work utilizes the spatio-temporal correlation of…
Logic Distillation: Learning from Code Function by Function for Decision-making Tasks
Dong Chen, Shilin Zhang, Fei Gao +4
Large language models (LLMs) have garnered increasing attention owing to their powerful logical reasoning capabilities. Generally, larger LLMs (L-LLMs) that require paid interfaces…
Improving Large Models with Small models: Lower Costs and Better Performance
Dong Chen, Shuo Zhang, Yueting Zhuang +4
Pretrained large models (PLMs), such as ChatGPT, have demonstrated remarkable performance across diverse tasks. However, the significant computational requirements of PLMs have dis…
Improving Vision Anomaly Detection with the Guidance of Language Modality
Dong Chen, Kaihang Pan, Guoming Wang +2
Recent years have seen a surge of interest in anomaly detection for tackling industrial defect detection, event detection, etc. However, existing unsupervised anomaly detectors, pa…