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ORCIDMeng Yang 0007
Person information
- affiliation: The University of Melbourne, School of Computing and Information Systems, Melbourne, Australia
Other persons with the same name
- Meng Yang — disambiguation page
- Meng Yang 0001
![[0000-0002-0795-3221]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0795-3221")
— Sun Yat-Sen University, Guangzhou, China (and 2 more) - Meng Yang 0002 — Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, and the National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, China
- Meng Yang 0003 — Hangzhou Dianzi University, College of Communication Engineering, Hangzhou, China
- Meng Yang 0004 — Nanjing University of Finance and Economics, College of Information Engineering, Nanjing, China
- Meng Yang 0005 — Shenyang Normal University, School of Mathematics and Systems Science, Shenyang, China
- Meng Yang 0006 — User Experience and Customer Insights, Burlington, MA, USA
- Meng Yang 0008 — Hebei University of Science and Technology, Shijiazhuang, China
- Meng Yang 0009 — North Carolina State University, Raleigh, NC, USA
- Meng Yang 0010 — Saint Mary's University, Halifax, Canada
- Meng Yang 0011 — Beijing Forestry University, School of Information Science and Technology, Beijing, China (and 1 more)
- Meng Yang 0012 — China Ship Development and Design Center, Wuhan, China
- Meng Yang 0013 — Fudan University, ASIC and System State Key Laboratory, Shanghai, China
- Meng Yang 0014 — Royal Holloway, University of London, Egham, UK
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Books and Theses
- 2019
[b1]Meng Yang:
Video surveillance based crowd activity analysis. University of Melbourne, Parkville, Victoria, Australia, 2019
Journal Articles
- 2024
- [j3]Meng Yang, Yanghe Feng, Aravinda S. Rao, Sutharshan Rajasegarar, Shucong Tian, Zhengchun Zhou:
Evolving graph-based video crowd anomaly detection. Vis. Comput. 40(1): 303-318 (2024) - 2023
- [j2]Meng Yang, Shucong Tian, Aravinda S. Rao, Sutharshan Rajasegarar, Marimuthu Palaniswami, Zhengchun Zhou:
An efficient deep neural model for detecting crowd anomalies in videos. Appl. Intell. 53(12): 15695-15710 (2023) - [j1]Xiaoyan Zhang, Zhengchun Zhou, Ying Han, Hua Meng, Meng Yang, Sutharshan Rajasegarar:
Deep learning-based real-time 3D human pose estimation. Eng. Appl. Artif. Intell. 119: 105813 (2023)
Conference and Workshop Papers
- 2019
- [c5]Meng Yang, Sutharshan Rajasegarar, Sarah M. Erfani, Christopher Leckie:
Deep Learning and One-class SVM based Anomalous Crowd Detection. IJCNN 2019: 1-8 - 2018
- [c4]Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Aravinda S. Rao, Marimuthu Palaniswami:
Crowd Activity Change Point Detection in Videos via Graph Stream Mining. CVPR Workshops 2018: 215-223 - [c3]Meng Yang, Lida Rashidi, Aravinda S. Rao, Sutharshan Rajasegarar, Mohadeseh Ganji, Marimuthu Palaniswami, Christopher Leckie:
Cluster-Based Crowd Movement Behavior Detection. DICTA 2018: 1-8 - [c2]Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie:
Graph Stream Mining Based Anomalous Event Analysis. PRICAI (1) 2018: 891-903 - 2016
- [c1]Meng Yang, Sutharshan Rajasegarar, Aravinda S. Rao, Christopher Leckie, Marimuthu Palaniswami:
Anomalous Behavior Detection in Crowded Scenes Using Clustering and Spatio-Temporal Features. Intelligent Information Processing 2016: 132-141
Informal and Other Publications
- 2020
- [i1]Mingxing Zhang, Zhengchun Zhou, Lanping Li, Zilong Liu, Meng Yang, Yanghe Feng:
HpGAN: Sequence Search with Generative Adversarial Networks. CoRR abs/2012.05645 (2020)
Coauthor Index
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last updated on 2024-07-20 20:28 CEST by the dblp team
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