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  4. Cited By
CSRNet: Dilated Convolutional Neural Networks for Understanding the
  Highly Congested Scenes

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

27 February 2018
Yuhong Li
Xiaofan Zhang
Deming Chen
ArXivPDFHTML

Papers citing "CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes"

50 / 356 papers shown
Title
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd
  Counting
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting
Mingjie Wang
Hao Cai
Jun Zhou
Minglun Gong
37
20
0
25 May 2020
Relevant Region Prediction for Crowd Counting
Relevant Region Prediction for Crowd Counting
Xinya Chen
Yanrui Bin
Changxin Gao
Nong Sang
H. Tang
17
25
0
20 May 2020
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions
Di Hu
Lichao Mou
Qingzhong Wang
Junyu Gao
Yuansheng Hua
Dejing Dou
Xiaoxiang Zhu
14
31
0
14 May 2020
Adaptive Mixture Regression Network with Local Counting Map for Crowd
  Counting
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting
Xiyang Liu
Jie Yang
Wenrui Ding
22
112
0
12 May 2020
Deep Cerebellar Nuclei Segmentation via Semi-Supervised Deep
  Context-Aware Learning from 7T Diffusion MRI
Deep Cerebellar Nuclei Segmentation via Semi-Supervised Deep Context-Aware Learning from 7T Diffusion MRI
Jinyoung Kim
R. Patriat
J. Kaplan
Oren Solomon
N. Harel
14
16
0
21 Apr 2020
Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation
Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation
Luca Ciampi
Carlos Santiago
João Paulo Costeira
Claudio Gennaro
Giuseppe Amato
11
8
0
20 Apr 2020
Density Map Guided Object Detection in Aerial Images
Density Map Guided Object Detection in Aerial Images
Changlin Li
Taojiannan Yang
Sijie Zhu
Cheng Chen
S. Guan
9
174
0
12 Apr 2020
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method
Vishwanath A. Sindagi
R. Yasarla
Vishal M. Patel
14
222
0
07 Apr 2020
Understanding the impact of mistakes on background regions in crowd
  counting
Understanding the impact of mistakes on background regions in crowd counting
Davide Modolo
Bing Shuai
Rahul Rama Varior
Joseph Tighe
28
17
0
30 Mar 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
29
64
0
23 Mar 2020
Encoder-Decoder Based Convolutional Neural Networks with
  Multi-Scale-Aware Modules for Crowd Counting
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting
Pongpisit Thanasutives
Ken-ichi Fukui
M. Numao
B. Kijsirikul
24
63
0
12 Mar 2020
Dense Dilated Convolutions Merging Network for Land Cover Classification
Dense Dilated Convolutions Merging Network for Land Cover Classification
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
12
115
0
09 Mar 2020
Crowd Counting via Hierarchical Scale Recalibration Network
Crowd Counting via Hierarchical Scale Recalibration Network
Zhikang Zou
Yifan Liu
Shuangjie Xu
Wei Wei
S. Wen
Pan Zhou
8
22
0
07 Mar 2020
NAS-Count: Counting-by-Density with Neural Architecture Search
NAS-Count: Counting-by-Density with Neural Architecture Search
Yutao Hu
Xiaolong Jiang
Xuhui Liu
Baochang Zhang
Jungong Han
Xianbin Cao
David Doermann
25
89
0
29 Feb 2020
Towards Using Count-level Weak Supervision for Crowd Counting
Towards Using Count-level Weak Supervision for Crowd Counting
Yinjie Lei
Yan Liu
Pingping Zhang
Lingqiao Liu
18
94
0
29 Feb 2020
ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images
ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images
Usman Sajid
Hasan Sajid
Hongcheng Wang
Guanghui Wang
23
44
0
27 Feb 2020
Adapted Center and Scale Prediction: More Stable and More Accurate
Adapted Center and Scale Prediction: More Stable and More Accurate
Wenhao Wang
23
24
0
20 Feb 2020
Focus on Semantic Consistency for Cross-domain Crowd Understanding
Focus on Semantic Consistency for Cross-domain Crowd Understanding
Tao Han
Junyu Gao
Yuan. Yuan
Qi. Wang
18
45
0
20 Feb 2020
A Real-Time Deep Network for Crowd Counting
A Real-Time Deep Network for Crowd Counting
Xiaowen Shi
Xin Li
Caili Wu
Shuchen Kong
Jing Yang
Liang He
HAI
19
45
0
16 Feb 2020
Counting dense objects in remote sensing images
Counting dense objects in remote sensing images
Guangshuai Gao
Qingjie Liu
Yunhong Wang
12
24
0
14 Feb 2020
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning
Mahesh Kumar Krishna Reddy
M. Hossain
Mrigank Rochan
Yang Wang
20
40
0
01 Feb 2020
Hybrid Graph Neural Networks for Crowd Counting
Hybrid Graph Neural Networks for Crowd Counting
Ao Luo
Fan Yang
Xin Li
Dong Nie
Zhicheng Jiao
Shangchen Zhou
Hong Cheng
25
84
0
31 Jan 2020
Crowd Scene Analysis by Output Encoding
Crowd Scene Analysis by Output Encoding
Yao Xue
Siming Liu
Yonghui Li
Xueming Qian
8
5
0
27 Jan 2020
PSC-Net: Learning Part Spatial Co-occurrence for Occluded Pedestrian
  Detection
PSC-Net: Learning Part Spatial Co-occurrence for Occluded Pedestrian Detection
Jin Xie
Yanwei Pang
Hisham Cholakkal
Rao Muhammad Anwer
F. Khan
Ling Shao
15
59
0
25 Jan 2020
PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting
PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting
Saeed K. Amirgholipour
Xiangjian He
W. Jia
Dadong Wang
Lei Liu
28
11
0
16 Jan 2020
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization
Qi. Wang
Junyu Gao
Wei Lin
Xuelong Li
35
379
0
10 Jan 2020
From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for
  Object Counting
From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting
Haipeng Xiong
Hao Lu
Chengxin Liu
Liang Liu
Chunhua Shen
Z. Cao
12
13
0
07 Jan 2020
Plug-and-Play Rescaling Based Crowd Counting in Static Images
Plug-and-Play Rescaling Based Crowd Counting in Static Images
Usman Sajid
Guanghui Wang
18
15
0
06 Jan 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
Towards Partial Supervision for Generic Object Counting in Natural
  Scenes
Towards Partial Supervision for Generic Object Counting in Natural Scenes
Hisham Cholakkal
Guolei Sun
Salman Khan
F. Khan
Ling Shao
Luc Van Gool
17
12
0
13 Dec 2019
CCCNet: An Attention Based Deep Learning Framework for Categorized Crowd
  Counting
CCCNet: An Attention Based Deep Learning Framework for Categorized Crowd Counting
Sarkar Snigdha Sarathi Das
Syed Md. Mukit Rashid
Mohammed Eunus Ali
11
1
0
12 Dec 2019
Domain-adaptive Crowd Counting via High-quality Image Translation and
  Density Reconstruction
Domain-adaptive Crowd Counting via High-quality Image Translation and Density Reconstruction
Junyuan Gao
Tao Han
Qi. Wang
Yuan. Yuan
14
66
0
08 Dec 2019
Feature-aware Adaptation and Density Alignment for Crowd Counting in
  Video Surveillance
Feature-aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance
Junyu Gao
Yuan. Yuan
Qi. Wang
13
13
0
08 Dec 2019
Drone-based Joint Density Map Estimation, Localization and Tracking with
  Space-Time Multi-Scale Attention Network
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network
Longyin Wen
Dawei Du
Pengfei Zhu
Q. Hu
Qilong Wang
Liefeng Bo
Siwei Lyu
3DV
AI4TS
11
26
0
04 Dec 2019
Towards Reliable Evaluation of Road Network Reconstructions
Towards Reliable Evaluation of Road Network Reconstructions
Leonardo Citraro
Mateusz Koziñski
Pascal Fua
14
0
0
28 Nov 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
27
9
0
26 Nov 2019
Estimating People Flows to Better Count Them in Crowded Scenes
Estimating People Flows to Better Count Them in Crowded Scenes
Weizhe Liu
Mathieu Salzmann
Pascal Fua
OT
3DH
19
38
0
25 Nov 2019
Crowd Counting via Segmentation Guided Attention Networks and Curriculum
  Loss
Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss
Qian Wang
T. Breckon
3DPC
18
6
0
18 Nov 2019
Congestion Analysis of Convolutional Neural Network-Based Pedestrian
  Counting Methods on Helicopter Footage
Congestion Analysis of Convolutional Neural Network-Based Pedestrian Counting Methods on Helicopter Footage
Gergely Csönde
Y. Sekimoto
Takehiro Kashiyama
14
1
0
05 Nov 2019
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and
  Benchmark Method
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method
Vishwanath A. Sindagi
R. Yasarla
Vishal M. Patel
21
87
0
28 Oct 2019
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground
  Imagery
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery
R. Bahmanyar
E. Vig
P. Reinartz
15
44
0
27 Sep 2019
In-field grape berries counting for yield estimation using dilated CNNs
In-field grape berries counting for yield estimation using dilated CNNs
L. Coviello
M. Cristoforetti
Giuseppe Jurman
Cesare Furlanello
6
1
0
26 Sep 2019
CochleaNet: A Robust Language-independent Audio-Visual Model for Speech
  Enhancement
CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement
M. Gogate
K. Dashtipour
Ahsan Adeel
Amir Hussain
15
53
0
23 Sep 2019
Improving the Learning of Multi-column Convolutional Neural Network for
  Crowd Counting
Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting
Zhi-Qi Cheng
Jun-Xiu Li
Qi Dai
Xiao-Jun Wu
Jun-Yan He
Alexander G. Hauptmann
SSL
11
87
0
17 Sep 2019
Learning Spatial Awareness to Improve Crowd Counting
Learning Spatial Awareness to Improve Crowd Counting
Zhi-Qi Cheng
Jun-Xiu Li
Qi Dai
Xiao-Jun Wu
Alexander G. Hauptmann
3DPC
21
130
0
16 Sep 2019
Perspective-Guided Convolution Networks for Crowd Counting
Perspective-Guided Convolution Networks for Crowd Counting
Zhaoyi Yan
Yuchen Yuan
W. Zuo
Xiao Tan
Yezhen Wang
Shilei Wen
Errui Ding
18
193
0
16 Sep 2019
Crowd Counting on Images with Scale Variation and Isolated Clusters
Crowd Counting on Images with Scale Variation and Isolated Clusters
Haoyue Bai
Song Wen
Shueng-Han Gary Chan
17
23
0
09 Sep 2019
Dense Dilated Convolutions Merging Network for Semantic Mapping of
  Remote Sensing Images
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
18
14
0
30 Aug 2019
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting
Vishwanath A. Sindagi
Vishal M. Patel
19
176
0
28 Aug 2019
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