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. 1803.03095
  4. Cited By
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank

Leveraging Unlabeled Data for Crowd Counting by Learning to Rank

8 March 2018
Xialei Liu
Joost van de Weijer
Andrew D. Bagdanov
    SSL
ArXivPDFHTML

Papers citing "Leveraging Unlabeled Data for Crowd Counting by Learning to Rank"

40 / 40 papers shown
Title
Crowd Counting with Sparse Annotation
Crowd Counting with Sparse Annotation
Shiwei Zhang
Zhengzheng Wang
Qing Liu
Fei Wang
Wei Ke
Tong Zhang
21
0
0
12 Apr 2023
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
Dingkang Liang
Jiahao Xie
Zhikang Zou
Xiaoqing Ye
Wei Xu
Xiang Bai
SSL
CLIP
VLM
26
52
0
09 Apr 2023
Progressive Multi-resolution Loss for Crowd Counting
Progressive Multi-resolution Loss for Crowd Counting
Ziheng Yan
Yuankai Qi
Guorong Li
Xinyan Liu
Weigang Zhang
Qingming Huang
Ming-Hsuan Yang
26
10
0
08 Dec 2022
Semi-supervised Crowd Counting via Density Agency
Semi-supervised Crowd Counting via Density Agency
Hui Lin
Zhiheng Ma
Xiaopeng Hong
Yao Wang
Zhou Su
OT
23
29
0
07 Sep 2022
Redesigning Multi-Scale Neural Network for Crowd Counting
Redesigning Multi-Scale Neural Network for Crowd Counting
Zhipeng Du
Miaojing Shi
Jiankang Deng
S. Zafeiriou
28
44
0
04 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under
  Combination Shift
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift
Yivan Zhang
Jindong Wang
Xingxu Xie
Masashi Sugiyama
OOD
39
1
0
03 Aug 2022
Glance to Count: Learning to Rank with Anchors for Weakly-supervised
  Crowd Counting
Glance to Count: Learning to Rank with Anchors for Weakly-supervised Crowd Counting
Zheng Xiong
Liangyu Chai
Wenxi Liu
Yongtuo Liu
Sucheng Ren
Shengfeng He
29
5
0
29 May 2022
Exemplar Free Class Agnostic Counting
Exemplar Free Class Agnostic Counting
Viresh Ranjan
Minh Hoai
15
37
0
27 May 2022
Learning to Count Anything: Reference-less Class-agnostic Counting with
  Weak Supervision
Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision
Michael A. Hobley
V. Prisacariu
39
36
0
20 May 2022
BBA-net: A bi-branch attention network for crowd counting
BBA-net: A bi-branch attention network for crowd counting
Yi Hou
Chengyang Li
Fan Yang
Cong Ma
Liping Zhu
Yuan Li
Huizhu Jia
Xiaodong Xie
21
11
0
22 Jan 2022
Audio-Visual Transformer Based Crowd Counting
Audio-Visual Transformer Based Crowd Counting
Usman Sajid
Xiangyu Chen
Hasan Sajid
Taejoon Kim
Guanghui Wang
ViT
35
22
0
04 Sep 2021
Fine-grained Domain Adaptive Crowd Counting via Point-derived
  Segmentation
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation
Yongtuo Liu
Dan Xu
Sucheng Ren
Han-Zhen Wu
Hongmin Cai
Shengfeng He
24
10
0
06 Aug 2021
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting
Yongtuo Liu
Sucheng Ren
Liangyu Chai
Han-Zhen Wu
Jing Qin
Dan Xu
Shengfeng He
13
2
0
06 Aug 2021
Unsupervised Action Segmentation by Joint Representation Learning and
  Online Clustering
Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering
Sateesh Kumar
S. Haresh
Awais Ahmed
Andrey Konin
M. Zia
Quoc-Huy Tran
SSL
22
46
0
27 May 2021
Learning by Aligning Videos in Time
Learning by Aligning Videos in Time
S. Haresh
Sateesh Kumar
Huseyin Coskun
S. N. Syed
Andrey Konin
M. Zia
Quoc-Huy Tran
AI4TS
18
64
0
31 Mar 2021
Leveraging Self-Supervision for Cross-Domain Crowd Counting
Leveraging Self-Supervision for Cross-Domain Crowd Counting
Weizhe Liu
N. Durasov
Pascal Fua
13
40
0
30 Mar 2021
Spatiotemporal Dilated Convolution with Uncertain Matching for
  Video-based Crowd Estimation
Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation
Yu-Jen Ma
Hong-Han Shuai
Wen-Huang Cheng
21
48
0
29 Jan 2021
A Survey on Deep Learning-based Single Image Crowd Counting: Network
  Design, Loss Function and Supervisory Signal
A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal
Haoyue Bai
Jiageng Mao
Shueng-Han Gary Chan
36
22
0
31 Dec 2020
Distribution Matching for Crowd Counting
Distribution Matching for Crowd Counting
Boyu Wang
Huidong Liu
Dimitris Samaras
Minh Hoai
OT
27
282
0
28 Sep 2020
Pixel-wise Crowd Understanding via Synthetic Data
Pixel-wise Crowd Understanding via Synthetic Data
Wang Qi
Junyu Gao
Lin Wei
Yuan. Yuan
25
117
0
30 Jul 2020
Water level prediction from social media images with a multi-task
  ranking approach
Water level prediction from social media images with a multi-task ranking approach
P. Chaudhary
Stefano Dáronco
J. Leitão
K. Schindler
Jan Dirk Wegner
24
46
0
14 Jul 2020
Active Crowd Counting with Limited Supervision
Active Crowd Counting with Limited Supervision
Zhen Zhao
Miaojing Shi
Xiaoxiao Zhao
Li Li
19
47
0
13 Jul 2020
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd
  Counting
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting
Mingjie Wang
Hao Cai
Jun Zhou
Minglun Gong
29
20
0
25 May 2020
CNN-based Density Estimation and Crowd Counting: A Survey
CNN-based Density Estimation and Crowd Counting: A Survey
Guangshuai Gao
Junyu Gao
Qingjie Liu
Qi. Wang
Yunhong Wang
16
154
0
28 Mar 2020
Efficient Crowd Counting via Structured Knowledge Transfer
Efficient Crowd Counting via Structured Knowledge Transfer
Lingbo Liu
Jiaqi Chen
Hefeng Wu
Tianshui Chen
Guanbin Li
Liang Lin
24
64
0
23 Mar 2020
Focus on Semantic Consistency for Cross-domain Crowd Understanding
Focus on Semantic Consistency for Cross-domain Crowd Understanding
Tao Han
Junyu Gao
Yuan. Yuan
Qi. Wang
15
45
0
20 Feb 2020
Hybrid Graph Neural Networks for Crowd Counting
Hybrid Graph Neural Networks for Crowd Counting
Ao Luo
Fan Yang
Xin Li
Dong Nie
Zhicheng Jiao
Shangchen Zhou
Hong Cheng
20
84
0
31 Jan 2020
AutoScale: Learning to Scale for Crowd Counting and Localization
AutoScale: Learning to Scale for Crowd Counting and Localization
Chenfeng Xu
Dingkang Liang
Yongchao Xu
S. Bai
Wei Zhan
X. Bai
M. Tomizuka
22
105
0
20 Dec 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
22
9
0
26 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 Method
Vishwanath A. Sindagi
R. Yasarla
Vishal M. Patel
21
87
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
13
44
0
27 Sep 2019
Guided Attention Network for Object Detection and Counting on Drones
Guided Attention Network for Object Detection and Counting on Drones
Yuanqiang Cai
Dawei Du
Libo Zhang
Longyin Wen
Weiqiang Wang
Y. Wu
Siwei Lyu
19
58
0
25 Sep 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
11
3
0
23 Aug 2019
Bayesian Loss for Crowd Count Estimation with Point Supervision
Bayesian Loss for Crowd Count Estimation with Point Supervision
Zhiheng Ma
Xing Wei
Xiaopeng Hong
Yihong Gong
3DPC
34
481
0
10 Aug 2019
Locate, Size and Count: Accurately Resolving People in Dense Crowds via
  Detection
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection
Deepak Babu Sam
Skand Peri
Mukuntha Narayanan Sundararaman
Amogh Kamath
R. Venkatesh Babu
17
226
0
18 Jun 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
24
208
0
24 May 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
21
191
0
02 Apr 2019
Object Counting and Instance Segmentation with Image-level Supervision
Object Counting and Instance Segmentation with Image-level Supervision
Hisham Cholakkal
Guolei Sun
F. Khan
Ling Shao
13
121
0
06 Mar 2019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Xiaolong Jiang
Zehao Xiao
Baochang Zhang
Xiantong Zhen
Xianbin Cao
David Doermann
Ling Shao
3DV
19
324
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
20
174
0
17 Feb 2019
1