activity
20182021
most citedCloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events

190 citations · 225 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20216 cited

Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests

Siqi Wang, Guang Yu, Zhiping Cai +3

Although deep neural networks (DNNs) enable great progress in video abnormal event detection (VAD), existing solutions typically suffer from two issues: (1) The localization of vid…

cs.CV2021

Multi-view Deep One-class Classification: A Systematic Exploration

Siqi Wang, Jiyuan Liu, Guang Yu +5

One-class classification (OCC), which models one single positive class and distinguishes it from the negative class, has been a long-standing topic with pivotal application to real…

cs.CV2020190 cited

Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events

Guang Yu, Siqi Wang, Zhiping Cai +4

As a vital topic in media content interpretation, video anomaly detection (VAD) has made fruitful progress via deep neural network (DNN). However, existing methods usually follow a…

cs.CV202029 cited

Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification

Haocong Rao, Siqi Wang, Xiping Hu +4

Gait-based person re-identification (Re-ID) is valuable for safety-critical applications, and using only 3D skeleton data to extract discriminative gait features for person Re-ID i…

cs.LG2018

BEBP: An Poisoning Method Against Machine Learning Based IDSs

Pan Li, Qiang Liu, Wentao Zhao +2

In big data era, machine learning is one of fundamental techniques in intrusion detection systems (IDSs). However, practical IDSs generally update their decision module by feeding…