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  3. 1908.10937
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Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting

Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting

IEEE International Conference on Computer Vision (ICCV), 2019
28 August 2019
Vishwanath A. Sindagi
Vishal M. Patel
ArXiv (abs)PDFHTML

Papers citing "Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting"

50 / 60 papers shown
DSGC-Net: A Dual-Stream Graph Convolutional Network for Crowd Counting via Feature Correlation Mining
DSGC-Net: A Dual-Stream Graph Convolutional Network for Crowd Counting via Feature Correlation Mining
Yihong Wu
Jinqiao Wei
Xionghui Zhao
Yidi Li
Shaoyi Du
Bin Ren
Andrii Zadaianchuk
379
0
0
02 Sep 2025
Focus-Consistent Multi-Level Aggregation for Compositional Zero-Shot
  Learning
Focus-Consistent Multi-Level Aggregation for Compositional Zero-Shot Learning
Fengyuan Dai
Siteng Huang
Min Zhang
Biao Gong
Donglin Wang
191
1
0
30 Aug 2024
Multi-modal Crowd Counting via Modal Emulation
Multi-modal Crowd Counting via Modal EmulationBritish Machine Vision Conference (BMVC), 2024
Chenhao Wang
Xiaopeng Hong
Zhiheng Ma
Yupeng Wei
Yabin Wang
Xiaopeng Fan
235
5
0
28 Jul 2024
Multi-modal Crowd Counting via a Broker Modality
Multi-modal Crowd Counting via a Broker Modality
Haoliang Meng
Xiaopeng Hong
Chenhao Wang
Miao Shang
W. Zuo
348
13
0
10 Jul 2024
Semi-supervised Counting via Pixel-by-pixel Density Distribution
  Modelling
Semi-supervised Counting via Pixel-by-pixel Density Distribution Modelling
Hui Lin
Zhiheng Ma
Rongrong Ji
Yao Wang
Zhou Su
Xiaopeng Hong
Deyu Meng
198
9
0
23 Feb 2024
STEERER: Resolving Scale Variations for Counting and Localization via
  Selective Inheritance Learning
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance LearningIEEE International Conference on Computer Vision (ICCV), 2023
Tao Han
Mengwei He
Lin Liu
Wanli Ouyang
260
70
0
21 Aug 2023
Calibrating Uncertainty for Semi-Supervised Crowd Counting
Calibrating Uncertainty for Semi-Supervised Crowd CountingIEEE International Conference on Computer Vision (ICCV), 2023
Chen Li
Xiaoling Hu
Shahira Abousamra
Chao Chen
241
32
0
19 Aug 2023
GCNet: Probing Self-Similarity Learning for Generalized Counting Network
GCNet: Probing Self-Similarity Learning for Generalized Counting NetworkPattern Recognition (Pattern Recogn.), 2023
Mingjie Wang
Yande Li
Jun Zhou
Graham W. Taylor
Minglun Gong
313
22
0
10 Feb 2023
HDNet: A Hierarchically Decoupled Network for Crowd Counting
HDNet: A Hierarchically Decoupled Network for Crowd CountingIEEE International Conference on Multimedia and Expo (ICME), 2022
Chenliang Gu
Changan Wang
Bin-Bin Gao
Jun Liu
Tianliang Zhang
122
1
0
12 Dec 2022
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
246
19
0
08 Dec 2022
Consistency-Aware Anchor Pyramid Network for Crowd Localization
Consistency-Aware Anchor Pyramid Network for Crowd LocalizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xinyan Liu
Guorong Li
Yuankai Qi
Zhenjun Han
Qingming Huang
Ming-Hsuan Yang
Andrii Zadaianchuk
342
13
0
08 Dec 2022
Semi-supervised Crowd Counting via Density Agency
Semi-supervised Crowd Counting via Density AgencyACM Multimedia (ACM MM), 2022
Hui Lin
Zhiheng Ma
Xiaopeng Hong
Yao Wang
Zhou Su
OT
277
41
0
07 Sep 2022
Discrete-Constrained Regression for Local Counting Models
Discrete-Constrained Regression for Local Counting ModelsEuropean Conference on Computer Vision (ECCV), 2022
Haipeng Xiong
Angela Yao
229
32
0
20 Jul 2022
Counting Varying Density Crowds Through Density Guided Adaptive
  Selection CNN and Transformer Estimation
Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation
Yuehai Chen
Jing Yang
Badong Chen
S. Du
263
45
0
21 Jun 2022
Crowd Localization from Gaussian Mixture Scoped Knowledge and Scoped
  Teacher
Crowd Localization from Gaussian Mixture Scoped Knowledge and Scoped TeacherIEEE Transactions on Image Processing (IEEE TIP), 2022
Juncheng Wang
Junyuan Gao
Yuan. Yuan
Qi. Wang
319
23
0
12 Jun 2022
Indirect-Instant Attention Optimization for Crowd Counting in Dense
  Scenes
Indirect-Instant Attention Optimization for Crowd Counting in Dense Scenes
Suyu Han
Guodong Wang
Donghua Liu
159
1
0
12 Jun 2022
SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard
  Example Focusing
SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard Example FocusingIEEE Transactions on Industrial Informatics (IEEE TII), 2022
Jiwei Chen
Kewei Wang
Wen Su
Zengfu Wang
186
14
0
15 Apr 2022
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLPPattern Recognition (Pattern Recogn.), 2022
Mingjie Wang
Jun Zhou
Hao Cai
Minglun Gong
202
42
0
15 Mar 2022
CrowdFormer: Weakly-supervised Crowd counting with Improved
  Generalizability
CrowdFormer: Weakly-supervised Crowd counting with Improved GeneralizabilityJournal of Visual Communication and Image Representation (JVCIR), 2022
Siddharth Singh Savner
Vivek Kanhangad
ViT
231
42
0
07 Mar 2022
An End-to-End Transformer Model for Crowd Localization
An End-to-End Transformer Model for Crowd LocalizationEuropean Conference on Computer Vision (ECCV), 2022
Dingkang Liang
Wei Xu
Xiang Bai
271
181
0
26 Feb 2022
Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting
Deep Rank-Consistent Pyramid Model for Enhanced Crowd CountingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Jiaqi Gao
Zhizhong Huang
Yiming Lei
Hongming Shan
Chao Guo
Fei-Yue Wang
Junping Zhang
321
17
0
13 Jan 2022
Variational Attention: Propagating Domain-Specific Knowledge for
  Multi-Domain Learning in Crowd Counting
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting
Binghui Chen
Zhaoyi Yan
Ke Li
Pengyu Li
Biao Wang
W. Zuo
Lei Zhang
245
49
0
18 Aug 2021
Spatial Uncertainty-Aware Semi-Supervised Crowd Counting
Spatial Uncertainty-Aware Semi-Supervised Crowd CountingIEEE International Conference on Computer Vision (ICCV), 2021
Y. Meng
Hongrun Zhang
Yitian Zhao
Xiaoyun Yang
Xuesheng Qian
Xiaowei Huang
Yalin Zheng
OT
263
107
0
28 Jul 2021
Crowd Counting via Perspective-Guided Fractional-Dilation Convolution
Crowd Counting via Perspective-Guided Fractional-Dilation ConvolutionIEEE transactions on multimedia (IEEE Trans. Multimedia), 2021
Zhaoyi Yan
Ruimao Zhang
Hongzhi Zhang
Qingfu Zhang
W. Zuo
236
52
0
08 Jul 2021
Direct Measure Matching for Crowd Counting
Direct Measure Matching for Crowd Counting
Hui Lin
Xiaopeng Hong
Zhiheng Ma
Xing Wei
Yunfeng Qiu
Yaowei Wang
Yihong Gong
OT
216
50
0
04 Jul 2021
Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism
  for Crowd Counting
Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism for Crowd Counting
Yuehai Chen
Jing Yang
Dong Zhang
Kun Zhang
Badong Chen
S. Du
245
20
0
23 Jun 2021
Rethinking Global Context in Crowd Counting
Rethinking Global Context in Crowd CountingMachine Intelligence Research (MIR), 2021
Guolei Sun
Yun-Hai Liu
Thomas Probst
D. Paudel
Nikola Popovic
Luc Van Gool
ViT
277
25
0
23 May 2021
Leveraging Self-Supervision for Cross-Domain Crowd Counting
Leveraging Self-Supervision for Cross-Domain Crowd CountingComputer Vision and Pattern Recognition (CVPR), 2021
Weizhe Liu
Nikita Durasov
Pascal Fua
285
51
0
30 Mar 2021
Focal Inverse Distance Transform Maps for Crowd Localization
Focal Inverse Distance Transform Maps for Crowd LocalizationIEEE transactions on multimedia (IEEE Trans. Multimedia), 2021
Dingkang Liang
Wei Xu
Yingying Zhu
Yu Zhou
261
168
0
16 Feb 2021
MLMA-Net: multi-level multi-attentional learning for multi-label object
  detection in textile defect images
MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images
Bing Wei
K. Hao
Lei Gao
166
1
0
31 Jan 2021
Scale-Aware Network with Regional and Semantic Attentions for Crowd
  Counting under Cluttered Background
Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background
Qiaosi Yi
Yunxin Liu
Aiwen Jiang
Juncheng Li
Kangfu Mei
Mingwen Wang
216
8
0
05 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 SignalNeurocomputing (Neurocomputing), 2020
Haoyue Bai
Jiageng Mao
Shueng-Han Gary Chan
434
29
0
31 Dec 2020
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd CountingIEEE transactions on multimedia (TMM), 2020
Mingjie Wang
Hao Cai
Xianfeng Han
Jun Zhou
Minglun Gong
222
50
0
18 Dec 2020
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT
  Benchmark for Crowd Counting
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting
Lingbo Liu
Jiaqi Chen
Hefeng Wu
Guanbin Li
Chenglong Li
Liang Lin
217
161
0
08 Dec 2020
PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense
  Object Counting in Remote Sensing Images
PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing Images
Guangshuai Gao
Qingjie Liu
Zhenghui Hu
Lu Li
Qi Wen
Yunhong Wang
413
51
0
07 Dec 2020
Counting People by Estimating People Flows
Counting People by Estimating People FlowsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Weizhe Liu
Mathieu Salzmann
Pascal Fua
3DH
422
40
0
01 Dec 2020
Coarse- and Fine-grained Attention Network with Background-aware Loss
  for Crowd Density Map Estimation
Coarse- and Fine-grained Attention Network with Background-aware Loss for Crowd Density Map Estimation
Liangzi Rong
Chunping Li
179
64
0
07 Nov 2020
Distribution Matching for Crowd Counting
Distribution Matching for Crowd CountingNeural Information Processing Systems (NeurIPS), 2020
Boyu Wang
Huidong Liu
Dimitris Samaras
Minh Hoai
OT
358
379
0
28 Sep 2020
Completely Self-Supervised Crowd Counting via Distribution Matching
Completely Self-Supervised Crowd Counting via Distribution MatchingEuropean Conference on Computer Vision (ECCV), 2020
Deepak Babu Sam
Abhinav Agarwalla
Jimmy Joseph
Vishwanath A. Sindagi
R. Venkatesh Babu
Vishal M. Patel
SSL
254
39
0
14 Sep 2020
Spatial--spectral FFPNet: Attention-Based Pyramid Network for
  Segmentation and Classification of Remote Sensing Images
Spatial--spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images
Qingsong Xu
X. Yuan
Chaojun Ouyang
Yue Zeng
235
4
0
20 Aug 2020
Towards Unsupervised Crowd Counting via Regression-Detection
  Bi-knowledge Transfer
Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge TransferACM Multimedia (ACM MM), 2020
Yuting Liu
Zheng Wang
Miaojing Shi
Shiníchi Satoh
Qijun Zhao
Hongyu Yang
SSL
255
48
0
12 Aug 2020
SOFA-Net: Second-Order and First-order Attention Network for Crowd
  Counting
SOFA-Net: Second-Order and First-order Attention Network for Crowd CountingBritish Machine Vision Conference (BMVC), 2020
Haoran Duan
Shidong Wang
Yu Guan
EgoV
260
16
0
09 Aug 2020
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View
  Geometry
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry
He Chen
Pengfei Guo
Pengfei Li
Gim Hee Lee
Gregory Chirikjian
3DH
296
44
0
21 Jul 2020
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
Weighing Counts: Sequential Crowd Counting by Reinforcement LearningEuropean Conference on Computer Vision (ECCV), 2020
Liang Liu
Hao Lu
Hongwei Zou
Haipeng Xiong
Zhiguo Cao
Chunhua Shen
OffRL
201
82
0
16 Jul 2020
Learning to Count in the Crowd from Limited Labeled Data
Learning to Count in the Crowd from Limited Labeled Data
Vishwanath A. Sindagi
R. Yasarla
Deepak Sam Babu
R. Venkatesh Babu
Vishal M. Patel
319
78
0
07 Jul 2020
Recurrent Distillation based Crowd Counting
Recurrent Distillation based Crowd Counting
Yue Gu
Wenxi Liu
194
1
0
14 Jun 2020
KiU-Net: Towards Accurate Segmentation of Biomedical Images using
  Over-complete Representations
KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations
Jeya Maria Jose Valanarasu
Vishwanath A. Sindagi
Ilker Hacihaliloglu
Vishal M. Patel
SSeg
391
192
0
08 Jun 2020
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd
  Counting
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd CountingNeurocomputing (Neurocomputing), 2020
Mingjie Wang
Hao Cai
Jun Zhou
Minglun Gong
190
22
0
25 May 2020
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions
Di Hu
Lichao Mou
Qingzhong Wang
Junyu Gao
Yuansheng Hua
Dejing Dou
Xiaoxiang Zhu
236
34
0
14 May 2020
Adaptive Mixture Regression Network with Local Counting Map for Crowd
  Counting
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting
Xiyang Liu
Jie Yang
Wenrui Ding
196
129
0
12 May 2020
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