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  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
Domain-adaptive Crowd Counting via High-quality Image Translation and
  Density Reconstruction
Domain-adaptive Crowd Counting via High-quality Image Translation and Density ReconstructionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Junyuan Gao
Tao Han
Qi. Wang
Yuan. Yuan
144
81
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
153
14
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
Q. Hu
Q. Hu
Qilong Wang
Liefeng Bo
Siwei Lyu
3DVAI4TS
117
30
0
04 Dec 2019
Towards Reliable Evaluation of Road Network Reconstructions
Towards Reliable Evaluation of Road Network Reconstructions
Leonardo Citraro
Mateusz Koziñski
Pascal Fua
65
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
167
10
0
26 Nov 2019
Estimating People Flows to Better Count Them in Crowded Scenes
Estimating People Flows to Better Count Them in Crowded ScenesEuropean Conference on Computer Vision (ECCV), 2019
Weizhe Liu
Mathieu Salzmann
Pascal Fua
OT3DH
373
41
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
188
7
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
76
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 MethodIEEE International Conference on Computer Vision (ICCV), 2019
Vishwanath A. Sindagi
R. Yasarla
Vishal M. Patel
170
100
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
161
47
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
42
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 EnhancementInformation Fusion (Inf. Fusion), 2019
M. Gogate
K. Dashtipour
Ahsan Adeel
Amir Hussain
153
59
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 CountingACM Multimedia (ACM MM), 2019
Zhi-Qi Cheng
Jun-Xiu Li
Jingdong Sun
Xiao-Jun Wu
Jun-Yan He
Alexander G. Hauptmann
SSL
143
89
0
17 Sep 2019
Learning Spatial Awareness to Improve Crowd Counting
Learning Spatial Awareness to Improve Crowd CountingIEEE International Conference on Computer Vision (ICCV), 2019
Zhi-Qi Cheng
Jun-Xiu Li
Jingdong Sun
Xiao-Jun Wu
Alexander G. Hauptmann
3DPC
175
137
0
16 Sep 2019
Perspective-Guided Convolution Networks for Crowd Counting
Perspective-Guided Convolution Networks for Crowd CountingIEEE International Conference on Computer Vision (ICCV), 2019
Zhaoyi Yan
Yuchen Yuan
W. Zuo
Xiao Tan
Yezhen Wang
Shilei Wen
Errui Ding
149
208
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
119
27
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 ImagesJoint Urban Remote Sensing Event (JURSE), 2019
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
198
16
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 CountingIEEE International Conference on Computer Vision (ICCV), 2019
Vishwanath A. Sindagi
Vishal M. Patel
215
190
0
28 Aug 2019
Crowd Counting with Deep Structured Scale Integration Network
Crowd Counting with Deep Structured Scale Integration NetworkIEEE International Conference on Computer Vision (ICCV), 2019
Lingbo Liu
Zhilin Qiu
Guanbin Li
Shufan Liu
Wanli Ouyang
Liang Lin
133
249
0
23 Aug 2019
MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation
MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation
Abhay Kumar
Nishant Jain
Suraj Tripathi
Chirag Singh
K. Krishna
197
3
0
23 Aug 2019
From Open Set to Closed Set: Counting Objects by Spatial
  Divide-and-Conquer
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-ConquerIEEE International Conference on Computer Vision (ICCV), 2019
Haipeng Xiong
Hao Lu
Chengxin Liu
Liang Liu
Zhiguo Cao
Chunhua Shen
212
177
0
15 Aug 2019
Enhanced 3D convolutional networks for crowd counting
Enhanced 3D convolutional networks for crowd countingBritish Machine Vision Conference (BMVC), 2019
Zhikang Zou
Huiliang Shao
Xiaoye Qu
Wei Wei
Pan Zhou
146
40
0
12 Aug 2019
Dynamic Region Division for Adaptive Learning Pedestrian Counting
Dynamic Region Division for Adaptive Learning Pedestrian CountingIEEE International Conference on Multimedia and Expo (ICME), 2019
Gaoqi He
Zhenwei Ma
Binhao Huang
Bin Sheng
Yubo Yuan
114
17
0
12 Aug 2019
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd
  Counting
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting
Junyu Gao
Qi. Wang
Yuan. Yuan
152
209
0
10 Aug 2019
Deep Density-aware Count Regressor
Deep Density-aware Count RegressorEuropean Conference on Artificial Intelligence (ECAI), 2019
Zhuojun Chen
Junhao Cheng
Yuchen Yuan
Dongping Liao
Yizhou Li
Jiancheng Lv
197
18
0
09 Aug 2019
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs
Zhikang Zou
Yu Cheng
Xiaoye Qu
S. Ji
Xiaoxiao Guo
Pan Zhou
195
52
0
07 Aug 2019
Scale Matters: Temporal Scale Aggregation Network for Precise Action
  Localization in Untrimmed Videos
Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed VideosIEEE International Conference on Multimedia and Expo (ICME), 2019
Guoqiang Gong
Liangfeng Zheng
Kun Bai
Yadong Mu
155
56
0
02 Aug 2019
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd
  Counting
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd CountingIEEE International Conference on Computer Vision (ICCV), 2019
Chenfeng Xu
Kai Qiu
Jianlong Fu
S. Bai
Yongchao Xu
X. Bai
133
136
0
29 Jul 2019
HA-CCN: Hierarchical Attention-based Crowd Counting Network
HA-CCN: Hierarchical Attention-based Crowd Counting NetworkIEEE Transactions on Image Processing (TIP), 2019
Vishwanath A. Sindagi
Vishal M. Patel
252
199
0
24 Jul 2019
Locality-constrained Spatial Transformer Network for Video Crowd
  Counting
Locality-constrained Spatial Transformer Network for Video Crowd CountingIEEE International Conference on Multimedia and Expo (ICME), 2019
Yanyan Fang
Bi-Sheng Zhan
Wandi Cai
Shenghua Gao
Bo Hu
ViT
152
112
0
18 Jul 2019
ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale
  Feature Learning
ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature LearningIEEE International Symposium on Biomedical Imaging (ISBI), 2019
Mo Zhang
Jie Zhao
Xiang Li
Li Zhang
Shijie Zhao
SSegMedIm
147
8
0
07 Jul 2019
C^3 Framework: An Open-source PyTorch Code for Crowd Counting
C^3 Framework: An Open-source PyTorch Code for Crowd Counting
Junyu Gao
Wei Lin
Bingyan Zhao
Dong Wang
Chenyu Gao
Jun Wen
173
95
0
05 Jul 2019
Fast Video Crowd Counting with a Temporal Aware Network
Fast Video Crowd Counting with a Temporal Aware Network
Xingjiao Wu
Baohan Xu
Yingbin Zheng
Hao Ye
Jing Yang
Xiaoling Wang
134
34
0
04 Jul 2019
Inverse Attention Guided Deep Crowd Counting Network
Inverse Attention Guided Deep Crowd Counting NetworkAdvanced Video and Signal Based Surveillance (AVSS), 2019
Vishwanath A. Sindagi
Vishal M. Patel
200
34
0
02 Jul 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
195
88
0
24 Jun 2019
Locate, Size and Count: Accurately Resolving People in Dense Crowds via
  Detection
Locate, Size and Count: Accurately Resolving People in Dense Crowds via DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Deepak Babu Sam
Skand Peri
Mukuntha Narayanan Sundararaman
Amogh Kamath
R. Venkatesh Babu
496
269
0
18 Jun 2019
Content-aware Density Map for Crowd Counting and Density Estimation
Content-aware Density Map for Crowd Counting and Density Estimation
Mahdi Maktabdar Oghaz
Anish R. Khadka
Vasileios Argyriou
Paolo Remagnino
3DV
88
6
0
17 Jun 2019
Instance Segmentation with Point Supervision
Instance Segmentation with Point Supervision
I. Laradji
Negar Rostamzadeh
Pedro H. O. Pinheiro
David Vazquez
Mark Schmidt
3DPCISeg
189
22
0
14 Jun 2019
Counting and Segmenting Sorghum Heads
Counting and Segmenting Sorghum Heads
Min Hwan Oh
Peder Olsen
Karthikeyan N. Ramamurthy
156
16
0
30 May 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
152
246
0
24 May 2019
A deep learning approach to detecting volcano deformation from satellite
  imagery using synthetic datasets
A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasetsRemote Sensing of Environment (RSE), 2019
Qirui Yang
Juliet Biggs
F. Albino
David Bull
85
143
0
17 May 2019
DENet: A Universal Network for Counting Crowd with Varying Densities and
  Scales
DENet: A Universal Network for Counting Crowd with Varying Densities and Scales
Lei Liu
Jie Jiang
W. Jia
Saeed K. Amirgholipour
Michelle Zeibots
Xiangjian He
142
59
0
17 Apr 2019
Data Priming Network for Automatic Check-Out
Data Priming Network for Automatic Check-Out
Congcong Li
Dawei Du
Libo Zhang
Tiejian Luo
Y. Wu
Qi Tian
Longyin Wen
Siwei Lyu
197
26
0
10 Apr 2019
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for
  Dense Matching Tasks
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks
René Schuster
Oliver Wasenmüller
C. Unger
D. Stricker
MDE
190
53
0
05 Apr 2019
Crowd Transformer Network
Crowd Transformer Network
Viresh Ranjan
M. Shah
Minh Hoai Nguyen
ViT
133
10
0
04 Apr 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
178
216
0
02 Apr 2019
DefectNET: multi-class fault detection on highly-imbalanced datasets
DefectNET: multi-class fault detection on highly-imbalanced datasets
Qirui Yang
David Bull
85
20
0
01 Apr 2019
Counting with Focus for Free
Counting with Focus for Free
Zenglin Shi
Pascal Mettes
Cees G. M. Snoek
3DV3DPC
180
112
0
28 Mar 2019
W-Net: Reinforced U-Net for Density Map Estimation
W-Net: Reinforced U-Net for Density Map Estimation
Varun Kannadi Valloli
K. Mehta
146
41
0
27 Mar 2019
CODA: Counting Objects via Scale-aware Adversarial Density Adaption
CODA: Counting Objects via Scale-aware Adversarial Density Adaption
Li Wang
Yongbo Li
Xiangyang Xue
131
45
0
25 Mar 2019
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