Crowd counting based on attention-guided multi-scale fusion networks

Multi-level feature fusion based Locality-Constrained Spatial Transformer network for video crowd counting

(2020) Yanyan Fang et al.   NEUROCOMPUTING

Crowd Density Estimation Using Fusion of Multi-Layer Features

(2020) Xinghao Ding et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

DCGSA: A global self-attention network with dilated convolution for crowd density map generating

(2019) Liping Zhu et al.   NEUROCOMPUTING

Crowd counting with crowd attention convolutional neural network

(2019) Jiwei Chen et al.   NEUROCOMPUTING

Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking

(2018) Di Kang et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

A Light CNN for Deep Face Representation With Noisy Labels

(2018) Xiang Wu et al.   IEEE Transactions on Information Forensics and Security

A survey of recent advances in CNN-based single image crowd counting and density estimation

(2018) Vishwanath A. Sindagi et al.   PATTERN RECOGNITION LETTERS

Multi-resolution attention convolutional neural network for crowd counting

(2018) Youmei Zhang et al.   NEUROCOMPUTING

Detecting Coherent Groups in Crowd Scenes by Multiview Clustering

(2018) Qi Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Learning Scene-Independent Group Descriptors for Crowd Understanding

(2017) Jing Shao et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Support Vector Motion Clustering

(2017) Isah A. Lawal et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents

(2014) Bolei Zhou et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION