A Spatio- Temporal Attentive Network for Video-Based Crowd Counting
Author:
Affiliation:
1. University of Pisa,Dept. of Information Engineering,Pisa,Italy
2. Inst. of Information Science and Tech. National Research Council (ISTI-CNR),Pisa,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9912737/9912463/09913019.pdf?arnumber=9913019
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. In the Wild Video Violence Detection: An Unsupervised Domain Adaptation Approach;SN Computer Science;2024-08-27
2. DustNet: Attention to Dust;Lecture Notes in Computer Science;2024
3. Frame-Recurrent Video Crowd Counting;IEEE Transactions on Circuits and Systems for Video Technology;2023-09
4. Development of a Realistic Crowd Simulation Environment for Fine-Grained Validation of People Tracking Methods;Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications;2023
5. Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport;Sensors;2022-10-31
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