EventVAD: Training-Free Event-Aware Video Anomaly Detection

Position enhanced mention graph attention network for dialogue relation extraction. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval . 1985–1989

Xinwei Long, Shuzi Niu, and Yucheng Li. 2021 · 1989

Earlier work this paper cites.

The graph neural network model

Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini. 2008 · 2008

Earlier work this paper cites.

Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median

Christophe Leys, Christophe Ley, Olivier Klein, Philippe Bernard, and Laurent Licata. 2013 · 2013

Earlier work this paper cites.

Abnormal event detection at 150 fps in matlab. In ICCV

Cewu Lu, Jianping Shi, and Jiaya Jia. 2013 · 2013

Earlier work this paper cites.

Learning temporal regularity in video sequences. In CVPR

Mahmudul Hasan, Jonghyun Choi, Jan Neumann, Amit K Roy-Chowdhury, and Larry S Davis. 2016 · 2016

Earlier work this paper cites.

Attention is all you need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017

Earlier work this paper cites.

Subspace support vector data description. In ICPR

Fahad Sohrab, Jenni Raitoharju, Moncef Gabbouj, and Alexandros Iosifidis. 2018 · 2018

Earlier work this paper cites.

Real-world anomaly detection in surveillance videos. In CVPR

Waqas Sultani, Chen Chen, and Mubarak Shah. 2018 · 2018

Earlier work this paper cites.

Graph Attention Networks. In International Conference on Learning Representations

Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio. 2018 · 2018

Earlier work this paper cites.

Gods: Generalized one-class discriminative subspaces for anomaly detection. In ICCV

Jue Wang and Anoop Cherian. 2019 · 2019

Earlier work this paper cites.

A survey of single-scene video anomaly detection

Bharathkumar Ramachandra, Michael J Jones, and Ranga Raju Vatsavai. 2020 · 2020

Earlier work this paper cites.

Raft: Recurrent all-pairs field transforms for optical flow. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part II 16 . Springer, 402–419

Zachary Teed and Jia Deng. 2020 · 2020

Earlier work this paper cites.

Not only look, but also listen: Learning multimodal violence detection under weak supervision. In ECCV

Peng Wu, Jing Liu, Yujia Shi, Yujia Sun, Fangtao Shao, Zhaoyang Wu, and Zhiwei Yang. 2020 · 2020

Earlier work this paper cites.

Claws: Clustering assisted weakly supervised learning with normalcy suppression for anomalous event detection. In ECCV

Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, and Seung-Ik Lee. 2020 · 2020

Earlier work this paper cites.

A comprehensive review on deep learning-based methods for video anomaly detection

Rashmiranjan Nayak, Umesh Chandra Pati, and Santos Kumar Das. 2021 · 2021

Earlier work this paper cites.

Learning transferable visual models from natural language supervision. In International conference on machine learning . PmLR, 8748–8763

Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021

Earlier work this paper cites.

Weakly-supervised video anomaly detection with robust temporal feature magnitude learning. In ICCV

Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W Verjans, and Gustavo Carneiro. 2021 · 2021

Earlier work this paper cites.

Learning causal temporal relation and feature discrimination for anomaly detection

Peng Wu and Jing Liu. 2021 · 2021

Earlier work this paper cites.

Flamingo: a visual language model for few-shot learning

Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al · 2022

Earlier work this paper cites.

Self-supervised Sparse Representation for Video Anomaly Detection. In ECCV

Jhih-Ciang Wu, He-Yen Hsieh, Ding-Jie Chen, Chiou-Shann Fuh, and Tyng-Luh Liu. 2022 · 2022

Earlier work this paper cites.

Generative cooperative learning for unsupervised video anomaly detection. In CVPR

M Zaigham Zaheer, Arif Mahmood, M Haris Khan, Mattia Segu, Fisher Yu, and Seung-Ik Lee. 2022 · 2022

Earlier work this paper cites.

Shikra: Unleashing multimodal llm’s referential dialogue magic

Original

Keqin Chen, Zhao Zhang, Weili Zeng, Richong Zhang, Feng Zhu, and Rui Zhao. 2023b · 2023

Earlier work this paper cites.

Imagebind: One embedding space to bind them all. In CVPR

Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, and Ishan Misra. 2023 · 2023

Cited alongside, same era.

Unified language-vision pretraining in llm with dynamic discrete visual tokenization

Original

Yang Jin, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chenyi Lei, An Liu, Chengru Song, et al · 2023

Cited alongside, same era.

CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection. In ICIP

Hyekang Kevin Joo, Khoa Vo, Kashu Yamazaki, and Ngan Le. 2023 · 2023

Cited alongside, same era.

Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models. In ICML

Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi. 2023 · 2023

Cited alongside, same era.

Video-llava: Learning united visual representation by alignment before projection

Original

Mvbench: A comprehensive multi-modal video understanding benchmark. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 22195–22206

Kunchang Li, Yali Wang, Yinan He, Yizhuo Li, Yi Wang, Yi Liu, Zun Wang, Jilan Xu, Guo Chen, Ping Luo, et al · 2024

Later among the works it cites.

St-llm: Large language models are effective temporal learners. In European Conference on Computer Vision . Springer, 1–18

Ruyang Liu, Chen Li, Haoran Tang, Yixiao Ge, Ying Shan, and Ge Li. 2024 · 2024

Later among the works it cites.

Trust in internal or external knowledge? generative multi-modal entity linking with knowledge retriever. In Findings of the Association for Computational Linguistics ACL 2024 . 7559–7569

Xinwei Long, Jiali Zeng, Fandong Meng, Jie Zhou, and Bowen Zhou. 2024b · 2024

Later among the works it cites.

GWQ: Gradient-Aware Weight Quantization for Large Language Models

Original

Yihua Shao, Siyu Liang, Zijian Ling, Minxi Yan, Haiyang Liu, Siyu Chen, Ziyang Yan, Chenyu Zhang, Haotong Qin, Michele Magno, et al · 2024

Later among the works it cites.