Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting

12 May 2020

Jie Yang

Papers citing "Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting"

35 / 35 papers shown

Title
Zero-shot Object Counting with Good Exemplars Huilin Zhu Jingling Yuan Zhengwei Yang Yu Guo Zheng Wang Xian Zhong Shengfeng He VLM 29 6 0 06 Jul 2024
Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance I-Hsiang Chen Wei-Ting Chen Yu-Wei Liu Ming-Hsuan Yang Sy-Yen Kuo 31 9 0 17 May 2024
Möbius Transform for Mitigating Perspective Distortions in Representation Learning Prakash Chandra Chhipa Meenakshi Subhash Chippa Kanjar De Rajkumar Saini Marcus Liwicki Mubarak Shah 27 1 0 07 Mar 2024
Semi-supervised Counting via Pixel-by-pixel Density Distribution Modelling Hui Lin Zhiheng Ma Rongrong Ji Yao Wang Zhou Su Xiaopeng Hong Deyu Meng 26 2 0 23 Feb 2024
Interactive Class-Agnostic Object Counting Yifeng Huang Viresh Ranjan Minh Hoai 19 7 0 11 Sep 2023
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning Tao Han Lei Bai Lin Liu Wanli Ouyang 19 36 0 21 Aug 2023
Calibrating Uncertainty for Semi-Supervised Crowd Counting Chen Li Xiaoling Hu Shahira Abousamra Chao Chen 21 20 0 19 Aug 2023
Focus for Free in Density-Based Counting Zenglin Shi Pascal Mettes Cees G. M. Snoek 3DPC 20 8 0 08 Jun 2023
$CrowdDiff$ : Multi-hypothesis Crowd Density Estimation using Diffusion Models Y. Ranasinghe Nithin Gopalakrishnan Nair W. G. C. Bandara Vishal M. Patel DiffM 21 10 0 22 Mar 2023
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
Multi-scale Feature Aggregation for Crowd Counting Xiaoheng Jiang Xinyi Wu Hisham Cholakkal Rao Muhammad Anwer Jiale Xu Bing Zhou Yanwei Pang F. Khan 8 1 0 10 Aug 2022
Redesigning Multi-Scale Neural Network for Crowd Counting Zhipeng Du Miaojing Shi Jiankang Deng S. Zafeiriou 24 44 0 04 Aug 2022
Discrete-Constrained Regression for Local Counting Models Haipeng Xiong Angela Yao 19 24 0 20 Jul 2022
Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation Yuehai Chen Jing Yang Badong Chen S. Du 19 31 0 21 Jun 2022
Rethinking Spatial Invariance of Convolutional Networks for Object Counting Zhi-Qi Cheng Qi Dai Hong Li JingKuan Song Xiao-Jun Wu Alexander G. Hauptmann 3DPC 29 95 0 10 Jun 2022
SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard Example Focusing Jiwei Chen Kewei Wang Wen Su Zengfu Wang 11 10 0 15 Apr 2022
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP Mingjie Wang Jun Zhou Hao Cai Minglun Gong 12 29 0 15 Mar 2022
Counting with Adaptive Auxiliary Learning Y. Meng J. Bridge Meng Wei Yitian Zhao Yihong Qiao Xiaoyun Yang Xiaowei Huang Yalin Zheng 16 4 0 08 Mar 2022
CrowdFormer: Weakly-supervised Crowd counting with Improved Generalizability Siddharth Singh Savner Vivek Kanhangad ViT 19 31 0 07 Mar 2022
Scene-Adaptive Attention Network for Crowd Counting Xing Wei Yuanrui Kang Jihao Yang Yunfeng Qiu Dahu Shi Wenming Tan Yihong Gong ViT 19 18 0 31 Dec 2021
LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds Qi. Wang Tao Han Junyuan Gao Yuan. Yuan Xuelong Li ObjD 42 6 0 10 Oct 2021
CCTrans: Simplifying and Improving Crowd Counting with Transformer Ye Tian Xiangxiang Chu Hongpeng Wang ViT 13 75 0 29 Sep 2021
Rethinking Counting and Localization in Crowds:A Purely Point-Based Framework Qingyu Song Changan Wang Zhengkai Jiang Yabiao Wang Ying Tai Chengjie Wang Jilin Li Feiyue Huang Yang Wu 13 260 0 27 Jul 2021
Uniformity in Heterogeneity:Diving Deep into Count Interval Partition for Crowd Counting Changan Wang Qingyu Song Boshen Zhang Yabiao Wang Ying Tai Xuyi Hu Chengjie Wang Jilin Li Jiayi Ma Yang Wu 18 38 0 27 Jul 2021
Crowd Counting via Perspective-Guided Fractional-Dilation Convolution Zhaoyi Yan Ruimao Zhang Hongzhi Zhang Qingfu Zhang W. Zuo 13 44 0 08 Jul 2021
Hybrid attention network based on progressive embedding scale-context for crowd counting Fusen Wang J. Sang Zhongyuan Wu Qi Liu Nong Sang 11 24 0 04 Jun 2021
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 25 22 0 31 Dec 2020
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting Mingjie Wang Hao Cai Xianfeng Han Jun Zhou Minglun Gong 29 41 0 18 Dec 2020
Learning Independent Instance Maps for Crowd Localization Junyu Gao Tao Han Qi. Wang Yuan. Yuan Xuelong Li 22 41 0 08 Dec 2020
Wide-Area Crowd Counting: Multi-View Fusion Networks for Counting in Large Scenes Qi Zhang Antoni B. Chan 11 17 0 02 Dec 2020
Counting People by Estimating People Flows Weizhe Liu Mathieu Salzmann Pascal Fua 3DH 14 32 0 01 Dec 2020
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting Mahesh Kumar Krishna Reddy Mrigank Rochan Yiwei Lu Yang Wang 17 25 0 23 Oct 2020
Understanding the impact of mistakes on background regions in crowd counting Davide Modolo Bing Shuai Rahul Rama Varior Joseph Tighe 19 17 0 30 Mar 2020
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
Dense Scale Network for Crowd Counting Feng Dai Hao Liu Yike Ma Juan Cao Qiang Zhao Yongdong Zhang 16 84 0 24 Jun 2019