ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1903.00853
  4. Cited By
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network

3 March 2019
Xiaolong Jiang
Zehao Xiao
Baochang Zhang
Xiantong Zhen
Xianbin Cao
David Doermann
Ling Shao
    3DV
ArXivPDFHTML

Papers citing "Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network"

26 / 26 papers shown
Title
Crowd Counting via Hierarchical Scale Recalibration Network
Crowd Counting via Hierarchical Scale Recalibration Network
Zhikang Zou
Yifan Liu
Shuangjie Xu
Wei Wei
S. Wen
Pan Zhou
69
22
0
07 Mar 2020
Model-free Tracking with Deep Appearance and Motion Features Integration
Model-free Tracking with Deep Appearance and Motion Features Integration
Xiaolong Jiang
Peizhao Li
Xiantong Zhen
Xianbin Cao
VOT
38
11
0
16 Dec 2018
Class-Agnostic Counting
Class-Agnostic Counting
Erika Lu
Weidi Xie
Andrew Zisserman
46
145
0
01 Nov 2018
Light-Weight RefineNet for Real-Time Semantic Segmentation
Light-Weight RefineNet for Real-Time Semantic Segmentation
Vladimir Nekrasov
Chunhua Shen
Ian Reid
SSeg
VLM
54
148
0
08 Oct 2018
In Defense of Single-column Networks for Crowd Counting
In Defense of Single-column Networks for Crowd Counting
Ze Wang
Zehao Xiao
Kai Xie
Qiang Qiu
Xiantong Zhen
Xianbin Cao
54
42
0
18 Aug 2018
Composition Loss for Counting, Density Map Estimation and Localization
  in Dense Crowds
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
Haroon Idrees
Muhmmad Tayyab
Kishan Athrey
Dong Zhang
S. Al-Maadeed
Nasir M. Rajpoot
M. Shah
76
678
0
02 Aug 2018
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
Xialei Liu
Joost van de Weijer
Andrew D. Bagdanov
SSL
52
287
0
08 Mar 2018
CSRNet: Dilated Convolutional Neural Networks for Understanding the
  Highly Congested Scenes
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Yuhong Li
Xiaofan Zhang
Deming Chen
125
1,334
0
27 Feb 2018
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
52
347
0
18 Dec 2017
Stacked Deconvolutional Network for Semantic Segmentation
Stacked Deconvolutional Network for Semantic Segmentation
J. Fu
Qingbin Liu
Yuhang Wang
Hanqing Lu
SSeg
48
214
0
16 Aug 2017
Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs
Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs
Vishwanath A. Sindagi
Vishal M. Patel
68
621
0
02 Aug 2017
Switching Convolutional Neural Network for Crowd Counting
Switching Convolutional Neural Network for Crowd Counting
Deepak Babu Sam
Shiv Surya
R. Venkatesh Babu
82
885
0
01 Aug 2017
CNN-based Cascaded Multi-task Learning of High-level Prior and Density
  Estimation for Crowd Counting
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting
Vishwanath A. Sindagi
Vishal M. Patel
53
504
0
30 Jul 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
68
541
0
05 Jul 2017
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks -
  Counting, Detection, and Tracking
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking
Di Kang
Zheng Ma
Antoni B. Chan
47
175
0
29 May 2017
End-to-end representation learning for Correlation Filter based tracking
End-to-end representation learning for Correlation Filter based tracking
Jack Valmadre
Luca Bertinetto
João F. Henriques
Andrea Vedaldi
Philip Torr
85
1,398
0
20 Apr 2017
Detail-revealing Deep Video Super-resolution
Detail-revealing Deep Video Super-resolution
Xin Tao
Hongyun Gao
Renjie Liao
Jue Wang
Jiaya Jia
SupR
65
502
0
10 Apr 2017
Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to
  Specific Appearance for Crowd Counting
Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting
Shohei Kumagai
Kazuhiro Hotta
Takio Kurita
60
73
0
28 Mar 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
528
11,984
0
04 Dec 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TS
SSeg
253
2,847
0
20 Nov 2016
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
Accelerating the Super-Resolution Convolutional Neural Network
Accelerating the Super-Resolution Convolutional Neural Network
Chao Dong
Chen Change Loy
Xiaoou Tang
SupR
125
2,978
0
01 Aug 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.5K
76,917
0
18 May 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
105
3,484
0
24 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
317
2,238
0
18 Sep 2014
1