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DecideNet: Counting Varying Density Crowds Through Attention Guided
  Detection and Density Estimation

DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation

18 December 2017
Jiang-Dong Liu
Chenqiang Gao
Deyu Meng
Alexander G. Hauptmann
ArXivPDFHTML

Papers citing "DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation"

34 / 34 papers shown
Title
Toward Smart Doors: A Position Paper
Toward Smart Doors: A Position Paper
Luigi Capogrosso
Geri Skenderi
Federico Girella
Franco Fummi
Marco Cristani
24
4
0
23 Sep 2022
Revisiting Crowd Counting: State-of-the-art, Trends, and Future
  Perspectives
Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives
Muhammad Asif Khan
Hamid Menouar
R. Hamila
HAI
31
56
0
14 Sep 2022
Redesigning Multi-Scale Neural Network for Crowd Counting
Redesigning Multi-Scale Neural Network for Crowd Counting
Zhipeng Du
Miaojing Shi
Jiankang Deng
S. Zafeiriou
28
44
0
04 Aug 2022
Glance to Count: Learning to Rank with Anchors for Weakly-supervised
  Crowd Counting
Glance to Count: Learning to Rank with Anchors for Weakly-supervised Crowd Counting
Zheng Xiong
Liangyu Chai
Wenxi Liu
Yongtuo Liu
Sucheng Ren
Shengfeng He
29
5
0
29 May 2022
Crowd counting with segmentation attention convolutional neural network
Crowd counting with segmentation attention convolutional neural network
Jiwei Chen
Zengfu Wang
11
7
0
15 Apr 2022
Boosting Crowd Counting via Multifaceted Attention
Boosting Crowd Counting via Multifaceted Attention
Hui Lin
Zhiheng Ma
Rongrong Ji
Yaowei Wang
Xiaopeng Hong
23
145
0
05 Mar 2022
Effectiveness of Detection-based and Regression-based Approaches for
  Estimating Mask-Wearing Ratio
Effectiveness of Detection-based and Regression-based Approaches for Estimating Mask-Wearing Ratio
Khanh-Duy Nguyen
H. Nguyen
Trung-Nghia Le
Junichi Yamagishi
Isao Echizen
CVBM
30
2
0
25 Nov 2021
Congested Crowd Instance Localization with Dilated Convolutional Swin
  Transformer
Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer
Junyuan Gao
Maoguo Gong
Xuelong Li
ViT
19
46
0
02 Aug 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 Benchmark
Haopeng Li
Lingbo Liu
Kunlin Yang
Shinan Liu
Junyuan Gao
Bin Zhao
Rui Zhang
Jun Hou
44
14
0
19 Jul 2021
Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism
  for Crowd Counting
Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism for Crowd Counting
Yuehai Chen
Jing Yang
Dong-Ming Zhang
Kun Zhang
Badong Chen
S. Du
11
17
0
23 Jun 2021
Multi-Scale Context Aggregation Network with Attention-Guided for Crowd
  Counting
Multi-Scale Context Aggregation Network with Attention-Guided for Crowd Counting
Xin Wang
Yang Zhao
Tangwen Yang
Q. Ruan
18
18
0
06 Apr 2021
Tracking Pedestrian Heads in Dense Crowd
Tracking Pedestrian Heads in Dense Crowd
Ramanathan Sundararaman
Cédric Braga
É. Marchand
J. Pettré
VOT
20
72
0
24 Mar 2021
Spatiotemporal Dilated Convolution with Uncertain Matching for
  Video-based Crowd Estimation
Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation
Yu-Jen Ma
Hong-Han Shuai
Wen-Huang Cheng
21
48
0
29 Jan 2021
Enhanced Information Fusion Network for Crowd Counting
Enhanced Information Fusion Network for Crowd Counting
Geng Chen
Pei Guo
22
1
0
12 Jan 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 Signal
Haoyue Bai
Jiageng Mao
Shueng-Han Gary Chan
41
22
0
31 Dec 2020
Coarse- and Fine-grained Attention Network with Background-aware Loss
  for Crowd Density Map Estimation
Coarse- and Fine-grained Attention Network with Background-aware Loss for Crowd Density Map Estimation
Liangzi Rong
Chunping Li
22
48
0
07 Nov 2020
Distribution Matching for Crowd Counting
Distribution Matching for Crowd Counting
Boyu Wang
Huidong Liu
Dimitris Samaras
Minh Hoai
OT
29
282
0
28 Sep 2020
Distortion-Adaptive Grape Bunch Counting for Omnidirectional Images
Distortion-Adaptive Grape Bunch Counting for Omnidirectional Images
R. Akai
Yuzuko Utsumi
Y. Miwa
Masakazu Iwamura
K. Kise
18
4
0
28 Aug 2020
Counting from Sky: A Large-scale Dataset for Remote Sensing Object
  Counting and A Benchmark Method
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method
Guangshuai Gao
Qingjie Liu
Yunhong Wang
13
53
0
28 Aug 2020
Pixel-wise Crowd Understanding via Synthetic Data
Pixel-wise Crowd Understanding via Synthetic Data
Wang Qi
Junyu Gao
Lin Wei
Yuan. Yuan
27
117
0
30 Jul 2020
Active Crowd Counting with Limited Supervision
Active Crowd Counting with Limited Supervision
Zhen Zhao
Miaojing Shi
Xiaoxiao Zhao
Li Li
24
47
0
13 Jul 2020
CNN-based Density Estimation and Crowd Counting: A Survey
CNN-based Density Estimation and Crowd Counting: A Survey
Guangshuai Gao
Junyu Gao
Qingjie Liu
Qi. Wang
Yunhong Wang
22
154
0
28 Mar 2020
Efficient Crowd Counting via Structured Knowledge Transfer
Efficient Crowd Counting via Structured Knowledge Transfer
Lingbo Liu
Jiaqi Chen
Hefeng Wu
Tianshui Chen
Guanbin Li
Liang Lin
26
64
0
23 Mar 2020
GATCluster: Self-Supervised Gaussian-Attention Network for Image
  Clustering
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering
Chuang Niu
Jun Zhang
Ge Wang
Jimin Liang
SSL
21
70
0
27 Feb 2020
AutoScale: Learning to Scale for Crowd Counting and Localization
AutoScale: Learning to Scale for Crowd Counting and Localization
Chenfeng Xu
Dingkang Liang
Yongchao Xu
S. Bai
Wei Zhan
X. Bai
M. Tomizuka
27
105
0
20 Dec 2019
Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd
  Counting
Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting
Weizhe Liu
Mathieu Salzmann
Pascal Fua
AAML
24
9
0
26 Nov 2019
Crowd Counting with Deep Structured Scale Integration Network
Crowd Counting with Deep Structured Scale Integration Network
Lingbo Liu
Zhilin Qiu
Guanbin Li
Shufan Liu
Wanli Ouyang
Liang Lin
18
233
0
23 Aug 2019
Bayesian Loss for Crowd Count Estimation with Point Supervision
Bayesian Loss for Crowd Count Estimation with Point Supervision
Zhiheng Ma
Xing Wei
Xiaopeng Hong
Yihong Gong
3DPC
34
481
0
10 Aug 2019
HA-CCN: Hierarchical Attention-based Crowd Counting Network
HA-CCN: Hierarchical Attention-based Crowd Counting Network
Vishwanath A. Sindagi
Vishal M. Patel
8
187
0
24 Jul 2019
Locate, Size and Count: Accurately Resolving People in Dense Crowds via
  Detection
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection
Deepak Babu Sam
Skand Peri
Mukuntha Narayanan Sundararaman
Amogh Kamath
R. Venkatesh Babu
17
226
0
18 Jun 2019
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Junyu Gao
Qi. Wang
Xuelong Li
27
208
0
24 May 2019
Point in, Box out: Beyond Counting Persons in Crowds
Point in, Box out: Beyond Counting Persons in Crowds
Yuting Liu
Miaojing Shi
Qijun Zhao
Xiaofang Wang
3DPC
27
191
0
02 Apr 2019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Xiaolong Jiang
Zehao Xiao
Baochang Zhang
Xiantong Zhen
Xianbin Cao
David Doermann
Ling Shao
3DV
19
324
0
03 Mar 2019
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
Xialei Liu
Joost van de Weijer
Andrew D. Bagdanov
SSL
25
174
0
17 Feb 2019
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