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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"

6 / 356 papers shown
Title
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
17
138
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 W. Schmidt
17
195
0
25 Jul 2018
Locating Objects Without Bounding Boxes
Locating Objects Without Bounding Boxes
Javier Ribera
David Guera
Yuhao Chen
Edward J. Delp
30
99
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
17
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
20
35
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
25
10
0
23 Mar 2018
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