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Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd
  Counting

Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting

29 July 2019
Chenfeng Xu
Kai Qiu
Jianlong Fu
S. Bai
Yongchao Xu
X. Bai
ArXivPDFHTML

Papers citing "Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting"

31 / 31 papers shown
Title
Interactive Class-Agnostic Object Counting
Interactive Class-Agnostic Object Counting
Yifeng Huang
Viresh Ranjan
Minh Hoai
24
7
0
11 Sep 2023
STEERER: Resolving Scale Variations for Counting and Localization via
  Selective Inheritance Learning
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning
Tao Han
Lei Bai
Lin Liu
Wanli Ouyang
32
36
0
21 Aug 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
34
53
0
09 Apr 2023
Redesigning Multi-Scale Neural Network for Crowd Counting
Redesigning Multi-Scale Neural Network for Crowd Counting
Zhipeng Du
Miaojing Shi
Jiankang Deng
S. Zafeiriou
36
45
0
04 Aug 2022
Efficient High-Resolution Deep Learning: A Survey
Efficient High-Resolution Deep Learning: A Survey
Arian Bakhtiarnia
Qi Zhang
Alexandros Iosifidis
MedIm
21
19
0
26 Jul 2022
Crowd Localization from Gaussian Mixture Scoped Knowledge and Scoped
  Teacher
Crowd Localization from Gaussian Mixture Scoped Knowledge and Scoped Teacher
Juncheng Wang
Junyuan Gao
Yuan. Yuan
Qi. Wang
40
18
0
12 Jun 2022
Self-supervised Domain Adaptation in Crowd Counting
Self-supervised Domain Adaptation in Crowd Counting
Pha Nguyen
Thanh-Dat Truong
Miaoqing Huang
Yi Liang
Ngan Le
Khoa Luu
SSL
39
12
0
07 Jun 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
Towards More Effective PRM-based Crowd Counting via A Multi-resolution
  Fusion and Attention Network
Towards More Effective PRM-based Crowd Counting via A Multi-resolution Fusion and Attention Network
Usman Sajid
Guanghui Wang
34
9
0
17 Dec 2021
Multi-Scale Context Aggregation Network with Attention-Guided for Crowd
  Counting
Multi-Scale Context Aggregation Network with Attention-Guided for Crowd Counting
Xin Wang
Yang Zhao
Tangwen Yang
Q. Ruan
26
18
0
06 Apr 2021
Leveraging Self-Supervision for Cross-Domain Crowd Counting
Leveraging Self-Supervision for Cross-Domain Crowd Counting
Weizhe Liu
N. Durasov
Pascal Fua
22
40
0
30 Mar 2021
Focal Inverse Distance Transform Maps for Crowd Localization
Focal Inverse Distance Transform Maps for Crowd Localization
Dingkang Liang
Wei Xu
Yingying Zhu
Yu Zhou
21
117
0
16 Feb 2021
Enhanced Information Fusion Network for Crowd Counting
Enhanced Information Fusion Network for Crowd Counting
Geng Chen
Pei Guo
27
1
0
12 Jan 2021
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting
Mingjie Wang
Hao Cai
Xianfeng Han
Jun Zhou
Minglun Gong
42
41
0
18 Dec 2020
Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting
Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting
Wenyuan Xu
Dingkang Liang
Yixiao Zheng
Zhanyu Ma
23
31
0
15 Dec 2020
Learning Independent Instance Maps for Crowd Localization
Learning Independent Instance Maps for Crowd Localization
Junyu Gao
Tao Han
Qi. Wang
Yuan. Yuan
Xuelong Li
30
41
0
08 Dec 2020
Counting People by Estimating People Flows
Counting People by Estimating People Flows
Weizhe Liu
Mathieu Salzmann
Pascal Fua
3DH
39
32
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
28
48
0
07 Nov 2020
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
27
25
0
30 Sep 2020
Distribution Matching for Crowd Counting
Distribution Matching for Crowd Counting
Boyu Wang
Huidong Liu
Dimitris Samaras
Minh Hoai
OT
41
282
0
28 Sep 2020
SOFA-Net: Second-Order and First-order Attention Network for Crowd
  Counting
SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting
Haoran Duan
Shidong Wang
Yu Guan
EgoV
27
14
0
09 Aug 2020
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
Liang Liu
Hao Lu
Hongwei Zou
Haipeng Xiong
Zhiguo Cao
Chunhua Shen
OffRL
27
70
0
16 Jul 2020
Active Crowd Counting with Limited Supervision
Active Crowd Counting with Limited Supervision
Zhen Zhao
Miaojing Shi
Xiaoxiao Zhao
Li Li
27
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
37
20
0
25 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
30
112
0
12 May 2020
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud
  Segmentation
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
Chenfeng Xu
Bichen Wu
Zining Wang
Wei Zhan
Peter Vajda
Kurt Keutzer
Masayoshi Tomizuka
3DPC
33
354
0
03 Apr 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
27
154
0
28 Mar 2020
NAS-Count: Counting-by-Density with Neural Architecture Search
NAS-Count: Counting-by-Density with Neural Architecture Search
Yutao Hu
Xiaolong Jiang
Xuhui Liu
Baochang Zhang
Jungong Han
Xianbin Cao
David Doermann
38
89
0
29 Feb 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
Masayoshi Tomizuka
29
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
27
9
0
26 Nov 2019
Estimating People Flows to Better Count Them in Crowded Scenes
Estimating People Flows to Better Count Them in Crowded Scenes
Weizhe Liu
Mathieu Salzmann
Pascal Fua
OT
3DH
27
38
0
25 Nov 2019
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