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Hybrid Graph Neural Networks for Crowd Counting

Hybrid Graph Neural Networks for Crowd Counting

AAAI Conference on Artificial Intelligence (AAAI), 2020
31 January 2020
Ao Luo
Fan Yang
Xin Li
Dong Nie
Zhicheng Jiao
Shangchen Zhou
Hong Cheng
ArXiv (abs)PDFHTML

Papers citing "Hybrid Graph Neural Networks for Crowd Counting"

27 / 27 papers shown
DSGC-Net: A Dual-Stream Graph Convolutional Network for Crowd Counting via Feature Correlation Mining
DSGC-Net: A Dual-Stream Graph Convolutional Network for Crowd Counting via Feature Correlation Mining
Yihong Wu
Jinqiao Wei
Xionghui Zhao
Yidi Li
Shaoyi Du
Bin Ren
Andrii Zadaianchuk
379
0
0
02 Sep 2025
EHNet: An Efficient Hybrid Network for Crowd Counting and Localization
EHNet: An Efficient Hybrid Network for Crowd Counting and Localization
Yuqing Yan
Yirui Wu
267
1
0
15 Mar 2025
Gramformer: Learning Crowd Counting via Graph-Modulated Transformer
Gramformer: Learning Crowd Counting via Graph-Modulated TransformerAAAI Conference on Artificial Intelligence (AAAI), 2024
Hui Lin
Zhiheng Ma
Xiaopeng Hong
Qinnan Shangguan
Deyu Meng
ViT
303
55
0
08 Jan 2024
$CrowdDiff$: Multi-hypothesis Crowd Density Estimation using Diffusion
  Models
CrowdDiffCrowdDiffCrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Y. Ranasinghe
Nithin Gopalakrishnan Nair
W. G. C. Bandara
Vishal M. Patel
DiffM
295
25
0
22 Mar 2023
Graph Neural Networks in Computer Vision -- Architectures, Datasets and
  Common Approaches
Graph Neural Networks in Computer Vision -- Architectures, Datasets and Common ApproachesIEEE International Joint Conference on Neural Network (IJCNN), 2022
Maciej Krzywda
S. Lukasik
Amir H. Gandomi
GNN
288
13
0
20 Dec 2022
Counting Like Human: Anthropoid Crowd Counting on Modeling the
  Similarity of Objects
Counting Like Human: Anthropoid Crowd Counting on Modeling the Similarity of Objects
Qi. Wang
Juncheng Wang
Junyuan Gao
Yuan. Yuan
Xuelong Li
271
3
0
02 Dec 2022
Multi-scale Feature Aggregation for Crowd Counting
Multi-scale Feature Aggregation for Crowd Counting
Xiaoheng Jiang
Xinyi Wu
Hisham Cholakkal
Rao Muhammad Anwer
Jiale Xu
Bing Zhou
Yanwei Pang
Fahad Shahbaz Khan
190
1
0
10 Aug 2022
Rethinking Spatial Invariance of Convolutional Networks for Object
  Counting
Rethinking Spatial Invariance of Convolutional Networks for Object CountingComputer Vision and Pattern Recognition (CVPR), 2022
Zhi-Qi Cheng
Jingdong Sun
Hong Li
JingKuan Song
Xiao-Jun Wu
Alexander G. Hauptmann
3DPC
214
127
0
10 Jun 2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation
  Learning Benchmark for Lifelong Crowd Counting
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd CountingFrontiers of Information Technology & Electronic Engineering (FITEE), 2022
Jiaqi Gao
Jingqi Li
Hongming Shan
Yanyun Qu
Chao Guo
Fei-Yue Wang
Junping Zhang
213
24
0
06 May 2022
Counting with Adaptive Auxiliary Learning
Counting with Adaptive Auxiliary Learning
Y. Meng
J. Bridge
Meng Wei
Yitian Zhao
Yihong Qiao
Xiaoyun Yang
Xiaowei Huang
Yalin Zheng
271
5
0
08 Mar 2022
Semi-Supervised Crowd Counting from Unlabeled Data
Semi-Supervised Crowd Counting from Unlabeled Data
Haoran Duan
Fan Wan
Rui Sun
Zeyu Wang
Varun Ojha
Yushi Guan
Hubert P. H. Shum
Bingzhang Hu
Yang Long
OT
213
3
0
31 Aug 2021
Variational Attention: Propagating Domain-Specific Knowledge for
  Multi-Domain Learning in Crowd Counting
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting
Binghui Chen
Zhaoyi Yan
Ke Li
Pengyu Li
Biao Wang
W. Zuo
Lei Zhang
242
49
0
18 Aug 2021
Fine-grained Domain Adaptive Crowd Counting via Point-derived
  Segmentation
Fine-grained Domain Adaptive Crowd Counting via Point-derived SegmentationIEEE International Conference on Multimedia and Expo (ICME), 2021
Yongtuo Liu
Dan Xu
Sucheng Ren
Han-Zhen Wu
Hongmin Cai
Shengfeng He
266
13
0
06 Aug 2021
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting
Yongtuo Liu
Sucheng Ren
Liangyu Chai
Han-Zhen Wu
Jing Qin
Dan Xu
Shengfeng He
235
2
0
06 Aug 2021
Spatial Uncertainty-Aware Semi-Supervised Crowd Counting
Spatial Uncertainty-Aware Semi-Supervised Crowd CountingIEEE International Conference on Computer Vision (ICCV), 2021
Y. Meng
Hongrun Zhang
Yitian Zhao
Xiaoyun Yang
Xuesheng Qian
Xiaowei Huang
Yalin Zheng
OT
263
105
0
28 Jul 2021
Video Crowd Localization with Multi-focus Gaussian Neighborhood
  Attention and a Large-Scale Benchmark
Video Crowd Localization with Multi-focus Gaussian Neighborhood Attention and a Large-Scale BenchmarkIEEE Transactions on Image Processing (TIP), 2021
Haopeng Li
Lingbo Liu
Kunlin Yang
Shinan Liu
Junyuan Gao
Bin Zhao
Rui Zhang
Jun Hou
479
21
0
19 Jul 2021
Crowd Counting via Perspective-Guided Fractional-Dilation Convolution
Crowd Counting via Perspective-Guided Fractional-Dilation ConvolutionIEEE transactions on multimedia (IEEE Trans. Multimedia), 2021
Zhaoyi Yan
Ruimao Zhang
Hongzhi Zhang
Qingfu Zhang
W. Zuo
233
52
0
08 Jul 2021
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark
Detection, Tracking, and Counting Meets Drones in Crowds: A BenchmarkComputer Vision and Pattern Recognition (CVPR), 2021
Longyin Wen
Dawei Du
Q. Hu
Q. Hu
Qilong Wang
Liefeng Bo
Siwei Lyu
312
115
0
06 May 2021
Mutual Graph Learning for Camouflaged Object Detection
Mutual Graph Learning for Camouflaged Object DetectionComputer Vision and Pattern Recognition (CVPR), 2021
Qiang Zhai
Xin Li
Fan Yang
Chenglizhao Chen
Hong Cheng
Deng-Ping Fan
245
249
0
03 Apr 2021
Multi-channel Deep Supervision for Crowd Counting
Multi-channel Deep Supervision for Crowd Counting
Bo-fan Wei
Mulin. Chen
Qi. Wang
Xuelong Li
158
0
0
17 Mar 2021
A Survey on Deep Learning-based Single Image Crowd Counting: Network
  Design, Loss Function and Supervisory Signal
A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory SignalNeurocomputing (Neurocomputing), 2020
Haoyue Bai
Jiageng Mao
Shueng-Han Gary Chan
434
28
0
31 Dec 2020
PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense
  Object Counting in Remote Sensing Images
PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing Images
Guangshuai Gao
Qingjie Liu
Zhenghui Hu
Lu Li
Qi Wen
Yunhong Wang
407
51
0
07 Dec 2020
Cascade Graph Neural Networks for RGB-D Salient Object Detection
Cascade Graph Neural Networks for RGB-D Salient Object DetectionEuropean Conference on Computer Vision (ECCV), 2020
Ao Luo
Xin Li
Fan Yang
Zhicheng Jiao
Hong Cheng
Siwei Lyu
359
113
0
07 Aug 2020
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd
  Counting
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd CountingNeurocomputing (Neurocomputing), 2020
Mingjie Wang
Hao Cai
Jun Zhou
Minglun Gong
187
22
0
25 May 2020
Towards Using Count-level Weak Supervision for Crowd Counting
Towards Using Count-level Weak Supervision for Crowd CountingPattern Recognition (Pattern Recognit.), 2020
Yinjie Lei
Yan Liu
Silong Yong
Lingqiao Liu
319
107
0
29 Feb 2020
AutoScale: Learning to Scale for Crowd Counting and Localization
AutoScale: Learning to Scale for Crowd Counting and LocalizationInternational Journal of Computer Vision (IJCV), 2019
Chenfeng Xu
Dingkang Liang
Yongchao Xu
S. Bai
Wei Zhan
X. Bai
Masayoshi Tomizuka
411
126
0
20 Dec 2019
Dense Scale Network for Crowd Counting
Dense Scale Network for Crowd CountingInternational Conference on Multimedia Retrieval (ICMR), 2019
Feng Dai
Hao Liu
Yike Ma
Juan Cao
Qiang Zhao
Yongdong Zhang
205
90
0
24 Jun 2019
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