5 papers · 1 filter
Unveiling the Unknown: Open Vocabulary Object Detection with Scene Graphs
Yi Chen, Yinghao Lu, Zhehao Li +4
Open-vocabulary object detection seeks to identify novel object categories that were not part of the training data. Many knowledge distillation-based approaches have shown promisin…
Contextualized Representation Learning for Effective Human-Object Interaction Detection
Zhehao Li, Yucheng Qian, Chong Wang +3
Human-Object Interaction (HOI) detection aims to simultaneously localize human-object pairs and recognize their interactions. While recent two-stage approaches have made significan…
DQEN: Dual Query Enhancement Network for DETR-based HOI Detection
Zhehao Li, Chong Wang, Yi Chen +4
Human-Object Interaction (HOI) detection focuses on localizing human-object pairs and recognizing their interactions. Recently, the DETR-based framework has been widely adopted in…
UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks
Yuanbin Qian, Shuhan Ye, Chong Wang +3
Video anomaly detection plays a significant role in intelligent surveillance systems. To enhance model's anomaly recognition ability, previous works have typically involved RGB, op…
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
Chenchen Tao, Xiaohao Peng, Chong Wang +4
Most models for weakly supervised video anomaly detection (WS-VAD) rely on multiple instance learning, aiming to distinguish normal and abnormal snippets without specifying the typ…