106 citations · 113 across the 6 of their papers we have counts for
6 papers
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection
Guodong Wang, Yunhong Wang, Jie Qin +3
Anomaly detection (AD), aiming to find samples that deviate from the training distribution, is essential in safety-critical applications. Though recent self-supervised learning bas…
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles
Guodong Wang, Yunhong Wang, Jie Qin +3
Video Anomaly Detection (VAD) is an important topic in computer vision. Motivated by the recent advances in self-supervised learning, this paper addresses VAD by solving an intuiti…
Indirect-Instant Attention Optimization for Crowd Counting in Dense Scenes
Suyu Han, Guodong Wang, Donghua Liu
One of appealing approaches to guiding learnable parameter optimization, such as feature maps, is global attention, which enlightens network intelligence at a fraction of the cost.…
Learning Oriented Remote Sensing Object Detection via Naive Geometric Computing
Yanjie Wang, Xu Zou, Zhijun Zhang +5
Detecting oriented objects along with estimating their rotation information is one crucial step for analyzing remote sensing images. Despite that many methods proposed recently hav…
Student-Teacher Feature Pyramid Matching for Anomaly Detection
Guodong Wang, Shumin Han, Errui Ding +1
Anomaly detection is a challenging task and usually formulated as an one-class learning problem for the unexpectedness of anomalies. This paper proposes a simple yet powerful appro…
A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception
Chenglizhao Chen, Jia Song, Chong Peng +2
Previous video salient object detection (VSOD) approaches have mainly focused on designing fancy networks to achieve their performance improvements. However, with the slow-down in…