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Depth Information Guided Crowd Counting for Complex Crowd Scenes

Depth Information Guided Crowd Counting for Complex Crowd Scenes

3 March 2018
Mingliang Xu
Zhaoyang Ge
Xiaoheng Jiang
Gaoge Cui
Pei Lv
Bing Zhou
Changsheng Xu
ArXivPDFHTML

Papers citing "Depth Information Guided Crowd Counting for Complex Crowd Scenes"

15 / 15 papers shown
Title
DecideNet: Counting Varying Density Crowds Through Attention Guided
  Detection and Density Estimation
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
Jiang-Dong Liu
Chenqiang Gao
Deyu Meng
Alexander G. Hauptmann
56
347
0
18 Dec 2017
Switching Convolutional Neural Network for Crowd Counting
Switching Convolutional Neural Network for Crowd Counting
Deepak Babu Sam
Shiv Surya
R. Venkatesh Babu
85
887
0
01 Aug 2017
A Survey of Recent Advances in CNN-based Single Image Crowd Counting and
  Density Estimation
A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation
Vishwanath A. Sindagi
Vishal M. Patel
74
541
0
05 Jul 2017
CrowdNet: A Deep Convolutional Network for Dense Crowd Counting
CrowdNet: A Deep Convolutional Network for Dense Crowd Counting
Lokesh Boominathan
S. Kruthiventi
R. Venkatesh Babu
55
550
0
22 Aug 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai
Yi Li
Kaiming He
Jian Sun
ObjD
174
5,640
0
20 May 2016
Cascaded Subpatch Networks for Effective CNNs
Cascaded Subpatch Networks for Effective CNNs
Xiaoheng Jiang
Yanwei Pang
Manli Sun
Xuelong Li
59
39
0
01 Mar 2016
Stereo Matching by Training a Convolutional Neural Network to Compare
  Image Patches
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Jure Zbontar
Yann LeCun
3DV
137
1,387
0
20 Oct 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
697
36,935
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
502
62,270
0
04 Jun 2015
Semi-supervised Feature Analysis by Mining Correlations among Multiple
  Tasks
Semi-supervised Feature Analysis by Mining Correlations among Multiple Tasks
Xiaojun Chang
Yi Yang
35
229
0
23 Nov 2014
Compound Rank-k Projections for Bilinear Analysis
Compound Rank-k Projections for Bilinear Analysis
Xiaojun Chang
Feiping Nie
Sen Wang
Yi Yang
Xiaofang Zhou
Haoquan Shen
38
208
0
23 Nov 2014
Towards Scene Understanding with Detailed 3D Object Representations
Towards Scene Understanding with Detailed 3D Object Representations
M. Zia
Michael Stark
Konrad Schindler
3DPC
3DV
OCL
52
93
0
18 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLM
MDE
207
2,679
0
18 Nov 2014
Computing the Stereo Matching Cost with a Convolutional Neural Network
Computing the Stereo Matching Cost with a Convolutional Neural Network
Jure Zbontar
Yann LeCun
3DV
67
769
0
15 Sep 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep
  Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE
3DPC
3DV
217
4,056
0
09 Jun 2014
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