Future Frame Prediction Using Convolutional VRNN for Anomaly Detection

Future Frame Prediction Using Convolutional VRNN for Anomaly Detection

5 September 2019

Mahesh Kumar Krishna Reddy

Seyed shahabeddin Nabavi

Papers citing "Future Frame Prediction Using Convolutional VRNN for Anomaly Detection"

12 / 12 papers shown

Title
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection Jash Dalvi Ali Dabouei Gunjan Dhanuka Min Xu 28 0 0 05 Jun 2024
Beyond the Benchmark: Detecting Diverse Anomalies in Videos Yoav Arad Michael Werman 16 2 0 03 Oct 2023
A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos Rongqin Liang Yuanman Li Yingxin Yi Jiantao Zhou Xia Li 11 2 0 27 Jul 2023
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies Marcella Astrid M. Zaheer Seung-Ik Lee 26 17 0 19 Mar 2023
Making Reconstruction-based Method Great Again for Video Anomaly Detection Yizhou Wang Can Qin Yue Bai Yi Xu Xu Ma Yun Fu ViT 37 18 0 28 Jan 2023
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles Guodong Wang Yunhong Wang Jie Qin Dongming Zhang Xiuguo Bao Di Huang 24 78 0 20 Jul 2022
A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency Xiangyu Huang Caidan Zhao Yilin Wang Zhiqiang Wu 45 15 0 08 Apr 2022
VPTR: Efficient Transformers for Video Prediction Xi Ye Guillaume-Alexandre Bilodeau ViT 32 18 0 29 Mar 2022
Learning Not to Reconstruct Anomalies Marcella Astrid M. Zaheer Jae-Yeong Lee Seung-Ik Lee 15 46 0 19 Oct 2021
Normal Learning in Videos with Attention Prototype Network Chao Hu Fan Wu Weijie Wu Weibin Qiu Shengxin Lai 25 1 0 25 Aug 2021
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction Zhian Liu Yongwei Nie Chengjiang Long Qing Zhang Guiqing Li 36 227 0 16 Aug 2021
C-RNN-GAN: Continuous recurrent neural networks with adversarial training Olof Mogren GAN 77 515 0 29 Nov 2016