ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1802.10062
  4. Cited By
CSRNet: Dilated Convolutional Neural Networks for Understanding the
  Highly Congested Scenes
v1v2v3v4 (latest)

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

27 February 2018
Yuhong Li
Xiaofan Zhang
Deming Chen
ArXiv (abs)PDFHTML

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

50 / 374 papers shown
Pixel-wise Crowd Understanding via Synthetic Data
Pixel-wise Crowd Understanding via Synthetic DataInternational Journal of Computer Vision (IJCV), 2020
Wang Qi
Junyu Gao
Lin Wei
Yuan. Yuan
271
127
0
30 Jul 2020
A Self-Training Approach for Point-Supervised Object Detection and
  Counting in Crowds
A Self-Training Approach for Point-Supervised Object Detection and Counting in CrowdsIEEE Transactions on Image Processing (TIP), 2020
Yi Wang
Xianqiang Lyu
Xinyu Hou
Lap-Pui Chau
3DPC
309
108
0
25 Jul 2020
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput
  Image-Based Corn Kernel Counting and Yield Estimation
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation
S. Khaki
Hieu H. Pham
Ye Han
Andy Kuhl
W. Kent
Lizhi Wang
213
70
0
20 Jul 2020
Learning Error-Driven Curriculum for Crowd Counting
Learning Error-Driven Curriculum for Crowd CountingInternational Conference on Pattern Recognition (ICPR), 2020
Wenxi Li
Zhuoqun Cao
Qian Wang
Songjian Chen
Rui Feng
129
7
0
19 Jul 2020
DeepNetQoE: Self-adaptive QoE Optimization Framework of Deep Networks
DeepNetQoE: Self-adaptive QoE Optimization Framework of Deep NetworksIEEE Network (IEEE Netw.), 2020
Rui Wang
Min Chen
Nadra Guizani
Yong Li
H. Gharavi
Kai Hwang
115
19
0
17 Jul 2020
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
Weighing Counts: Sequential Crowd Counting by Reinforcement LearningEuropean Conference on Computer Vision (ECCV), 2020
Liang Liu
Hao Lu
Hongwei Zou
Haipeng Xiong
Zhiguo Cao
Chunhua Shen
OffRL
170
80
0
16 Jul 2020
Active Crowd Counting with Limited Supervision
Active Crowd Counting with Limited SupervisionEuropean Conference on Computer Vision (ECCV), 2020
Zhen Zhao
Miaojing Shi
Xiaoxiao Zhao
Li Li
210
53
0
13 Jul 2020
Fine-Grained Crowd Counting
Fine-Grained Crowd CountingIEEE Transactions on Image Processing (TIP), 2020
Jia Wan
Nikil Kumar
Antoni B. Chan
141
37
0
13 Jul 2020
Exploit the potential of Multi-column architecture for Crowd Counting
Exploit the potential of Multi-column architecture for Crowd Counting
Junhao Cheng
Zhuojun Chen
Xinyu Zhang
Yizhou Li
Xiaoyuan Jing
111
5
0
11 Jul 2020
Bayesian Multi-Scale Neural Network for Crowd Counting
Abhinav Sagar
UQCV
357
9
0
11 Jul 2020
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
Yan Liu
Lingqiao Liu
Peng Wang
Silong Yong
Yinjie Lei
SSL
129
85
0
07 Jul 2020
Learning to Count in the Crowd from Limited Labeled Data
Learning to Count in the Crowd from Limited Labeled Data
Vishwanath A. Sindagi
R. Yasarla
Deepak Sam Babu
R. Venkatesh Babu
Vishal M. Patel
281
77
0
07 Jul 2020
A Few-Shot Sequential Approach for Object Counting
A Few-Shot Sequential Approach for Object Counting
Negin Sokhandan
Pegah Kamousi
Alejandro Posada
Eniola Alese
Negar Rostamzadeh
188
3
0
03 Jul 2020
LOOC: Localize Overlapping Objects with Count Supervision
LOOC: Localize Overlapping Objects with Count Supervision
I. Laradji
Rafael Pardiñas
Pau Rodríguez López
David Vazquez
155
11
0
03 Jul 2020
Shallow Feature Based Dense Attention Network for Crowd Counting
Shallow Feature Based Dense Attention Network for Crowd Counting
Yunqi Miao
Zijia Lin
Guiguang Ding
Jungong Han
159
116
0
17 Jun 2020
Recurrent Distillation based Crowd Counting
Recurrent Distillation based Crowd Counting
Yue Gu
Wenxi Liu
147
1
0
14 Jun 2020
Over-crowdedness Alert! Forecasting the Future Crowd Distribution
Over-crowdedness Alert! Forecasting the Future Crowd Distribution
Yuzhen Niu
Weifeng Shi
Wenxi Liu
Shengfeng He
Jianxiong Pan
Antoni B. Chan
104
3
0
09 Jun 2020
A Light-Weighted Convolutional Neural Network for Bitemporal SAR Image
  Change Detection
A Light-Weighted Convolutional Neural Network for Bitemporal SAR Image Change Detection
Rongfang Wang
Fan Ding
L. Jiao
Jiawei Chen
Bo Liu
Wenping Ma
Mi Wang
214
2
0
29 May 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
155
22
0
25 May 2020
Relevant Region Prediction for Crowd Counting
Relevant Region Prediction for Crowd Counting
Xinya Chen
Yanrui Bin
Changxin Gao
Nong Sang
Hao Tang
114
27
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
200
34
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
169
128
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 MRIIEEE Access (IEEE Access), 2020
Jinyoung Kim
R. Patriat
J. Kaplan
Oren Solomon
N. Harel
163
17
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
117
10
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
Chong Chen
S. Guan
196
226
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 MethodIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Vishwanath A. Sindagi
R. Yasarla
Vishal M. Patel
346
282
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 countingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Davide Modolo
Bing Shuai
Rahul Rama Varior
Joseph Tighe
118
22
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
213
171
0
28 Mar 2020
Efficient Crowd Counting via Structured Knowledge Transfer
Efficient Crowd Counting via Structured Knowledge TransferACM Multimedia (ACM MM), 2020
Lingbo Liu
Jiaqi Chen
Hefeng Wu
Tianshui Chen
Guanbin Li
Liang Lin
288
75
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 CountingInternational Conference on Pattern Recognition (ICPR), 2020
Pongpisit Thanasutives
Ken-ichi Fukui
M. Numao
B. Kijsirikul
341
80
0
12 Mar 2020
Dense Dilated Convolutions Merging Network for Land Cover Classification
Dense Dilated Convolutions Merging Network for Land Cover ClassificationIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2020
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
252
131
0
09 Mar 2020
Crowd Counting via Hierarchical Scale Recalibration Network
Crowd Counting via Hierarchical Scale Recalibration NetworkEuropean Conference on Artificial Intelligence (ECAI), 2020
Zhikang Zou
Yifan Liu
Shuangjie Xu
Wei Wei
S. Wen
Pan Zhou
152
23
0
07 Mar 2020
NAS-Count: Counting-by-Density with Neural Architecture Search
NAS-Count: Counting-by-Density with Neural Architecture SearchEuropean Conference on Computer Vision (ECCV), 2020
Yutao Hu
Xiaolong Jiang
Xuhui Liu
Baochang Zhang
Jungong Han
Xianbin Cao
David Doermann
211
100
0
29 Feb 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
248
104
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
238
47
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
267
25
0
20 Feb 2020
Focus on Semantic Consistency for Cross-domain Crowd Understanding
Focus on Semantic Consistency for Cross-domain Crowd UnderstandingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Tao Han
Junyu Gao
Yuan. Yuan
Qi. Wang
120
51
0
20 Feb 2020
A Real-Time Deep Network for Crowd Counting
A Real-Time Deep Network for Crowd CountingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Xiaowen Shi
Xin Li
Caili Wu
Shuchen Kong
Jing Yang
Xiaoling Wang
HAI
125
61
0
16 Feb 2020
Counting dense objects in remote sensing images
Counting dense objects in remote sensing imagesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Guangshuai Gao
Qingjie Liu
Yunhong Wang
153
27
0
14 Feb 2020
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning
Few-Shot Scene Adaptive Crowd Counting Using Meta-LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Mahesh Kumar Krishna Reddy
M. Hossain
Mrigank Rochan
Yang Wang
284
42
0
01 Feb 2020
Hybrid Graph Neural Networks for Crowd Counting
Hybrid Graph Neural Networks for Crowd CountingAAAI Conference on Artificial Intelligence (AAAI), 2020
Ao Luo
Fan Yang
Xin Li
Dong Nie
Zhicheng Jiao
Shangchen Zhou
Hong Cheng
172
89
0
31 Jan 2020
Crowd Scene Analysis by Output Encoding
Crowd Scene Analysis by Output Encoding
Yao Xue
Siming Liu
Yonghui Li
Xueming Qian
145
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 DetectionScience China Information Sciences (Sci China Inf Sci), 2020
Jin Xie
Yanwei Pang
Hisham Cholakkal
Rao Muhammad Anwer
Fahad Shahbaz Khan
Ling Shao
175
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
283
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 LocalizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Qi. Wang
Junyu Gao
Wei Lin
Xuelong Li
345
469
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 CountingInternational Journal of Computer Vision (IJCV), 2020
Haipeng Xiong
Hao Lu
Chengxin Liu
Liang Liu
Chunhua Shen
Z. Cao
233
15
0
07 Jan 2020
Plug-and-Play Rescaling Based Crowd Counting in Static Images
Plug-and-Play Rescaling Based Crowd Counting in Static ImagesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Usman Sajid
Guanghui Wang
213
15
0
06 Jan 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
350
123
0
20 Dec 2019
Towards Partial Supervision for Generic Object Counting in Natural
  Scenes
Towards Partial Supervision for Generic Object Counting in Natural ScenesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Hisham Cholakkal
Guolei Sun
Salman Khan
Fahad Shahbaz Khan
Ling Shao
Luc Van Gool
259
16
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
114
1
0
12 Dec 2019
Previous
12345678
Next