most citedVideo Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles

5 citations · 11 across the 5 of their papers we have counts for

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5 papers

cs.CV20232 cited

RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint Images

Hui Miao, Yuanfang Guo, Yunhong Wang

With the rapid development of the image generation technologies, the malicious abuses of the GAN-generated fingerprint images poses a significant threat to the public safety in cer…

cs.CV2023

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…

cs.CV20234 cited

Learning Discriminative Representations for Skeleton Based Action Recognition

Huanyu Zhou, Qingjie Liu, Yunhong Wang

Human action recognition aims at classifying the category of human action from a segment of a video. Recently, people have dived into designing GCN-based models to extract features…

cs.CV2023

BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction

Mingming Zhang, Ye Du, Zhenghui Hu +2

Extracting building footprints from remote sensing images has been attracting extensive attention recently. Dominant approaches address this challenging problem by generating vecto…

cs.CV20225 cited

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…