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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"

24 / 374 papers shown
Crowd Counting with Decomposed Uncertainty
Crowd Counting with Decomposed Uncertainty
Min Hwan Oh
Peder Olsen
Karthikeyan N. Ramamurthy
UQCV
264
115
0
15 Mar 2019
Learning from Synthetic Data for Crowd Counting in the Wild
Learning from Synthetic Data for Crowd Counting in the Wild
Qi. Wang
Junyu Gao
Wei Lin
Yuan. Yuan
276
571
0
08 Mar 2019
Object Counting and Instance Segmentation with Image-level Supervision
Object Counting and Instance Segmentation with Image-level SupervisionComputer Vision and Pattern Recognition (CVPR), 2019
Hisham Cholakkal
Guolei Sun
Fahad Shahbaz Khan
Ling Shao
265
131
0
06 Mar 2019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Crowd Counting and Density Estimation by Trellis Encoder-Decoder NetworkComputer Vision and Pattern Recognition (CVPR), 2019
Xiaolong Jiang
Zehao Xiao
Baochang Zhang
Xiantong Zhen
Xianbin Cao
David Doermann
Ling Shao
3DV
160
342
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
155
183
0
17 Feb 2019
Evaluating Crowd Density Estimators via Their Uncertainty Bounds
Evaluating Crowd Density Estimators via Their Uncertainty Bounds
Jennifer Vandoni
Emanuel Aldea
S. L. Hégarat-Mascle
UQCV
91
6
0
07 Feb 2019
SiamVGG: Visual Tracking using Deeper Siamese Networks
SiamVGG: Visual Tracking using Deeper Siamese Networks
Yuhong Li
Xiaofan Zhang
Deming Chen
ViT
359
50
0
07 Feb 2019
Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting
Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting
Liang Zhu
Zhijian Zhao
Chao Lu
Yining Lin
Yao Peng
Tangren Yao
3DPC
134
84
0
04 Feb 2019
Night Time Haze and Glow Removal using Deep Dilated Convolutional
  Network
Night Time Haze and Glow Removal using Deep Dilated Convolutional Network
Shiba Kuanar
K. Rao
Dwarikanath Mahapatra
M. Bilas
104
44
0
03 Feb 2019
Improving Dense Crowd Counting Convolutional Neural Networks using
  Inverse k-Nearest Neighbor Maps and Multiscale Upsampling
Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale UpsamplingVISIGRAPP (VISIGRAPP), 2019
Greg Olmschenk
Hao Tang
Zhigang Zhu
174
26
0
31 Jan 2019
Multi-Scale Attention Network for Crowd Counting
Multi-Scale Attention Network for Crowd Counting
Rahul Rama Varior
Bing Shuai
Joseph Tighe
Davide Modolo
284
30
0
17 Jan 2019
A Deep Learning based Framework to Detect and Recognize Humans using
  Contactless Palmprints in the Wild
A Deep Learning based Framework to Detect and Recognize Humans using Contactless Palmprints in the Wild
Yang Liu
Ajay Kumar
66
8
0
29 Dec 2018
Mask-aware networks for crowd counting
Mask-aware networks for crowd counting
Shengqin Jiang
Xiaobo Lu
Yinjie Lei
Lingqiao Liu
278
48
0
18 Dec 2018
Adaptive Scenario Discovery for Crowd Counting
Adaptive Scenario Discovery for Crowd Counting
Xingjiao Wu
Yingbin Zheng
Hao Ye
Wenxin Hu
J. Yang
Xiaoling Wang
205
48
0
06 Dec 2018
ADCrowdNet: An Attention-injective Deformable Convolutional Network for
  Crowd Understanding
ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding
Ning Liu
Yongchao Long
C. Zou
Qun Niu
Li Pan
Hefeng Wu
259
304
0
29 Nov 2018
Context-Aware Crowd Counting
Context-Aware Crowd Counting
Weizhe Liu
Mathieu Salzmann
Pascal Fua
3DVHAI
253
653
0
26 Nov 2018
PaDNet: Pan-Density Crowd Counting
PaDNet: Pan-Density Crowd CountingIEEE Transactions on Image Processing (IEEE TIP), 2018
Yukun Tian
Yiming Lei
Junping Zhang
Ming Wang
238
106
0
07 Nov 2018
Stacked Pooling: Improving Crowd Counting by Boosting Scale Invariance
Stacked Pooling: Improving Crowd Counting by Boosting Scale Invariance
Siyu Huang
Xi Li
Zhi-Qi Cheng
Zhongfei Zhang
Alexander G. Hauptmann
125
30
0
22 Aug 2018
Deep convolutional recurrent autoencoders for learning low-dimensional
  feature dynamics of fluid systems
Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems
F. J. Gonzalez
Maciej Balajewicz
AI4CE
226
155
0
03 Aug 2018
Where are the Blobs: Counting by Localization with Point Supervision
Where are the Blobs: Counting by Localization with Point Supervision
I. Laradji
Negar Rostamzadeh
Pedro H. O. Pinheiro
David Vazquez
Mark Schmidt
157
210
0
25 Jul 2018
Locating Objects Without Bounding Boxes
Locating Objects Without Bounding Boxes
Javier Ribera
David Guera
Yuhao Chen
Edward J. Delp
149
104
0
20 Jun 2018
Learning Short-Cut Connections for Object Counting
Learning Short-Cut Connections for Object Counting
Daniel Oñoro-Rubio
Mathias Niepert
Roberto J. López-Sastre
153
11
0
08 May 2018
Face Recognition with Hybrid Efficient Convolution Algorithms on FPGAs
Face Recognition with Hybrid Efficient Convolution Algorithms on FPGAs
Chuanhao Zhuge
Xinheng Liu
Xiaofan Zhang
S. Gummadi
Jinjun Xiong
Deming Chen
CVBM
88
37
0
23 Mar 2018
Geometric and Physical Constraints for Drone-Based Head Plane Crowd
  Density Estimation
Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation
Weizhe Liu
Krzysztof Lis
Mathieu Salzmann
Pascal Fua
189
10
0
23 Mar 2018
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