58 citations · 96 across the 7 of their papers we have counts for
7 papers
A New Comprehensive Benchmark for Semi-supervised Video Anomaly Detection and Anticipation
Congqi Cao, Yue Lu, Peng Wang +1
Semi-supervised video anomaly detection (VAD) is a critical task in the intelligent surveillance system. However, an essential type of anomaly in VAD named scene-dependent anomaly…
Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detection
Congqi Cao, Yue Lu, Yanning Zhang
Video anomaly detection aims to find the events in a video that do not conform to the expected behavior. The prevalent methods mainly detect anomalies by snippet reconstruction or…
UC-OWOD: Unknown-Classified Open World Object Detection
Zhiheng Wu, Yue Lu, Xingyu Chen +3
Open World Object Detection (OWOD) is a challenging computer vision problem that requires detecting unknown objects and gradually learning the identified unknown classes. However,…
Learnable Locality-Sensitive Hashing for Video Anomaly Detection
Yue Lu, Congqi Cao, Yanning Zhang
Video anomaly detection (VAD) mainly refers to identifying anomalous events that have not occurred in the training set where only normal samples are available. Existing works usual…
HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater Image Restoration
Shuaizheng Yan, Xingyu Chen, Zhengxing Wu +2
Robust vision restoration of underwater images remains a challenge. Owing to the lack of well-matched underwater and in-air images, unsupervised methods based on the cyclic generat…
Efficient Spatialtemporal Context Modeling for Action Recognition
Congqi Cao, Yue Lu, Yifan Zhang +2
Contextual information plays an important role in action recognition. Local operations have difficulty to model the relation between two elements with a long-distance interval. How…
Reveal of Domain Effect: How Visual Restoration Contributes to Object Detection in Aquatic Scenes
Xingyu Chen, Yue Lu, Zhengxing Wu +2
Underwater robotic perception usually requires visual restoration and object detection, both of which have been studied for many years. Meanwhile, data domain has a huge impact on…