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Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating
  Holistic Understanding of Crowd Scenes

Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating Holistic Understanding of Crowd Scenes

16 October 2023
Yifei Qian
Xiaopeng Hong
Zhongliang Guo
Ognjen Arandjelović
Carl R. Donovan
ArXivPDFHTML

Papers citing "Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating Holistic Understanding of Crowd Scenes"

24 / 24 papers shown
Title
T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
Yifei Qian
Zhongliang Guo
Bowen Deng
Chun Tong Lei
Shuai Zhao
Chun Pong Lau
Xiaopeng Hong
Michael P. Pound
DiffM
135
1
0
28 Feb 2025
Calibrating Uncertainty for Semi-Supervised Crowd Counting
Calibrating Uncertainty for Semi-Supervised Crowd Counting
Chen Li
Xiaoling Hu
Shahira Abousamra
Chao Chen
74
21
0
19 Aug 2023
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient
  and Generalizable Protein-Protein Interaction Prediction
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction
Ziyuan Zhao
Peisheng Qian
Xulei Yang
Zeng Zeng
Cuntai Guan
W. Tam
Xiaoli Li
61
20
0
15 May 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
55
10
0
08 Dec 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
94
115
0
24 Aug 2022
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation
  with Limited Source Labels
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels
Ziyuan Zhao
Kaixin Xu
Shumeng Li
Zeng Zeng
Cuntai Guan
OOD
60
45
0
23 Mar 2022
Boosting Crowd Counting via Multifaceted Attention
Boosting Crowd Counting via Multifaceted Attention
Hui Lin
Zhiheng Ma
Rongrong Ji
Yaowei Wang
Xiaopeng Hong
63
149
0
05 Mar 2022
Spatial Uncertainty-Aware Semi-Supervised Crowd Counting
Spatial Uncertainty-Aware Semi-Supervised Crowd Counting
Y. Meng
Hongrun Zhang
Yitian Zhao
Xiaoyun Yang
Xuesheng Qian
Xiaowei Huang
Yalin Zheng
OT
55
90
0
28 Jul 2021
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D
  Left Atrium Segmentation
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation
Shumeng Li
Ziyuan Zhao
Kaixin Xu
Zeng Zeng
Cuntai Guan
3DV
54
39
0
21 May 2021
A Survey on Deep Semi-supervised Learning
A Survey on Deep Semi-supervised Learning
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
97
581
0
28 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
  Semi-Supervised Learning
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
CLL
80
263
0
18 Feb 2021
Uncertainty Estimation and Sample Selection for Crowd Counting
Uncertainty Estimation and Sample Selection for Crowd Counting
Viresh Ranjan
Boyu Wang
M. Shah
Minh Hoai
UQCV
57
25
0
30 Sep 2020
Distribution Matching for Crowd Counting
Distribution Matching for Crowd Counting
Boyu Wang
Huidong Liu
Dimitris Samaras
Minh Hoai
OT
69
288
0
28 Sep 2020
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
Yan Liu
Lingqiao Liu
Peng Wang
Pingping Zhang
Yinjie Lei
SSL
44
77
0
07 Jul 2020
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method
Vishwanath A. Sindagi
R. Yasarla
Vishal M. Patel
59
227
0
07 Apr 2020
A unifying mutual information view of metric learning: cross-entropy vs.
  pairwise losses
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
Malik Boudiaf
Jérôme Rony
Imtiaz Masud Ziko
Eric Granger
M. Pedersoli
Pablo Piantanida
Ismail Ben Ayed
SSL
77
159
0
19 Mar 2020
Towards Using Count-level Weak Supervision for Crowd Counting
Towards Using Count-level Weak Supervision for Crowd Counting
Yinjie Lei
Yan Liu
Pingping Zhang
Lingqiao Liu
62
97
0
29 Feb 2020
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization
Qi. Wang
Junyu Gao
Wei Lin
Xuelong Li
86
390
0
10 Jan 2020
From Open Set to Closed Set: Counting Objects by Spatial
  Divide-and-Conquer
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer
Haipeng Xiong
Hao Lu
Chengxin Liu
Liang Liu
Zhiguo Cao
Chunhua Shen
64
167
0
15 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
125
491
0
10 Aug 2019
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation
Ziyuan Zhao
Xiaoman Zhang
Cen Chen
Wei Li
Songyou Peng
Jie Wang
Xulei Yang
Le Zhang
Zeng Zeng
43
17
0
12 Mar 2019
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
78
679
0
02 Aug 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
128
1,338
0
27 Feb 2018
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
96
1,372
0
09 Jul 2015
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