TFA-CNN: an efficient method for dealing with crowding and noise problems in crowd counting

Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss

(2022) Qian Wang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

MSFFA: a multi-scale feature fusion and attention mechanism network for crowd counting

(2022) Zhaoxin Li et al.   VISUAL COMPUTER

TransCrowd: weakly-supervised crowd counting with transformers

(2022) Dingkang Liang et al.   Science China-Information Sciences

An efficient multi-scale contextual feature fusion network for counting crowds with varying densities and scales

(2022) Liyan Xiong et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation

(2022) Yuehai Chen et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

PDANet: Pyramid density-aware attention based network for accurate crowd counting

(2021) Saeed Amirgholipour et al.   NEUROCOMPUTING

Crowd Density Estimation Using Fusion of Multi-Layer Features

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

SCAR: Spatial-/channel-wise attention regression networks for crowd counting

(2019) Junyu Gao et al.   NEUROCOMPUTING

Attend to count: Crowd counting with adaptive capacity multi-scale CNNs

(2019) Zhikang Zou et al.   NEUROCOMPUTING

Bilateral counting network for single-image object counting

(2019) He Li et al.   VISUAL COMPUTER

Scene invariant crowd counting using multi-scales head detection in video surveillance

(2018) Tianjun Ma et al.   IET Image Processing

Estimation of crowd density by clustering motion cues

(2014) Aravinda S. Rao et al.   VISUAL COMPUTER