Context Attention Fusion Network for crowd counting

[1]  Liwen Zhang,et al.  Back to common sense: Oxford dictionary descriptive knowledge augmentation for aspect-based sentiment analysis , 2023, Inf. Process. Manag..

[2]  Hang Yu,et al.  Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning , 2021, Data Mining and Knowledge Discovery.

[3]  Ling Shao,et al.  Learning Deformable and Attentive Network for image restoration , 2021, Knowl. Based Syst..

[4]  Ying Tai,et al.  To Choose or to Fuse? Scale Selection for Crowd Counting , 2021, AAAI.

[5]  Arcot Sowmya,et al.  Context-Enhanced Representation Learning for Single Image Deraining , 2021, International Journal of Computer Vision.

[6]  Qiang Guo,et al.  Learning a deep network with cross-hierarchy aggregation for crowd counting , 2020, Knowl. Based Syst..

[7]  Wei Liu,et al.  An efficient semi-supervised manifold embedding for crowd counting , 2020, Appl. Soft Comput..

[8]  Bingbing Ni,et al.  Scale-Aware Crowd Counting via Depth-Embedded Convolutional Neural Networks , 2020, IEEE Transactions on Circuits and Systems for Video Technology.

[9]  Yu Wang,et al.  Crowd Density Estimation Using Fusion of Multi-Layer Features , 2020, IEEE Transactions on Intelligent Transportation Systems.

[10]  Yangdong Ye,et al.  DSPNet: Deep scale purifier network for dense crowd counting , 2020, Expert Syst. Appl..

[11]  Xin Li,et al.  Hybrid Graph Neural Networks for Crowd Counting , 2020, AAAI.

[12]  Gaoxiang Ouyang,et al.  Cross-Level Parallel Network for Crowd Counting , 2020, IEEE Transactions on Industrial Informatics.

[13]  Peng Wang,et al.  MobileCount: An Efficient Encoder-Decoder Framework for Real-Time Crowd Counting , 2019, PRCV.

[14]  Meng Wang,et al.  DADNet: Dilated-Attention-Deformable ConvNet for Crowd Counting , 2019, ACM Multimedia.

[15]  Sheng Tang,et al.  CGNet: A Light-Weight Context Guided Network for Semantic Segmentation , 2018, IEEE Transactions on Image Processing.

[16]  Jie Li,et al.  Channel-Wise and Spatial Feature Modulation Network for Single Image Super-Resolution , 2018, IEEE Transactions on Circuits and Systems for Video Technology.

[17]  Liang Lin,et al.  Crowd Counting using Deep Recurrent Spatial-Aware Network , 2018, IJCAI.

[18]  Xuelong Li,et al.  Coarse-to-Fine Learning for Single-Image Super-Resolution , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[19]  Srinivas S. Kruthiventi,et al.  CrowdNet: A Deep Convolutional Network for Dense Crowd Counting , 2016, ACM Multimedia.