Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features

15 October 2020

Papers citing "Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features"

9 / 9 papers shown

Title
Detecting Contextual Anomalies by Discovering Consistent Spatial Regions Zhengye Yang Richard J. Radke 43 0 0 14 Jan 2025
Out-of-distribution detection using normalizing flows on the data manifold S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour OODD 48 0 0 26 Aug 2023
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset) Haoran Wang Yan Zhu W. Qin Yizhe Zhang Pinghong Zhou Quanlin Li Shuo Wang Zhijian Song 27 2 0 23 Dec 2022
Normalizing Flows for Human Pose Anomaly Detection Or Hirschorn S. Avidan 3DH 14 46 0 20 Nov 2022
Generative Cooperative Learning for Unsupervised Video Anomaly Detection M. Zaheer Arif Mahmood M. H. Khan Mattia Segu F. I. F. Richard Yu Seung-Ik Lee AI4TS 27 130 0 08 Mar 2022
Unsupervised anomaly detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS)using a deep residual autoencoder Dinesh Jackson Samuel Fabio Cuzzolin 46 16 0 22 Apr 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 280 1,981 0 09 Feb 2021
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge Ryota Hinami Tao Mei Shiníchi Satoh 108 227 0 26 Sep 2017
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,547 0 25 Jan 2016