Learning from Synthetic Data for Crowd Counting in the Wild

8 March 2019

Papers citing "Learning from Synthetic Data for Crowd Counting in the Wild"

25 / 75 papers shown

Title
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things Jing Zhang Dacheng Tao 31 462 0 17 Nov 2020
Learning causal representations for robust domain adaptation shuai Yang Kui Yu Fuyuan Cao Lin Liu Hongya Wang Jiuyong Li OOD CML TTA 18 44 0 12 Nov 2020
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
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting Mahesh Kumar Krishna Reddy Mrigank Rochan Yiwei Lu Yang Wang 30 25 0 23 Oct 2020
Uncertainty Estimation and Sample Selection for Crowd Counting Viresh Ranjan Boyu Wang M. Shah Minh Hoai UQCV 22 25 0 30 Sep 2020
Distribution Matching for Crowd Counting Boyu Wang Huidong Liu Dimitris Samaras Minh Hoai OT 38 282 0 28 Sep 2020
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method Guangshuai Gao Qingjie Liu Yunhong Wang 13 53 0 28 Aug 2020
Pixel-wise Crowd Understanding via Synthetic Data Wang Qi Junyu Gao Lin Wei Yuan. Yuan 33 117 0 30 Jul 2020
Active Crowd Counting with Limited Supervision Zhen Zhao Miaojing Shi Xiaoxiao Zhao Li Li 27 47 0 13 Jul 2020
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting Xiyang Liu Jie Yang Wenrui Ding 22 112 0 12 May 2020
CNN-based Density Estimation and Crowd Counting: A Survey Guangshuai Gao Junyu Gao Qingjie Liu Qi. Wang Yunhong Wang 22 154 0 28 Mar 2020
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting Pongpisit Thanasutives Ken-ichi Fukui M. Numao B. Kijsirikul 27 63 0 12 Mar 2020
NAS-Count: Counting-by-Density with Neural Architecture Search Yutao Hu Xiaolong Jiang Xuhui Liu Baochang Zhang Jungong Han Xianbin Cao David Doermann 25 89 0 29 Feb 2020
Focus on Semantic Consistency for Cross-domain Crowd Understanding Tao Han Junyu Gao Yuan. Yuan Qi. Wang 18 45 0 20 Feb 2020
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning Mahesh Kumar Krishna Reddy M. Hossain Mrigank Rochan Yang Wang 20 40 0 01 Feb 2020
Hybrid Graph Neural Networks for Crowd Counting Ao Luo Fan Yang Xin Li Dong Nie Zhicheng Jiao Shangchen Zhou Hong Cheng 28 84 0 31 Jan 2020
AutoScale: Learning to Scale for Crowd Counting and Localization Chenfeng Xu Dingkang Liang Yongchao Xu S. Bai Wei Zhan X. Bai M. Tomizuka 27 105 0 20 Dec 2019
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
Crowd Density Forecasting by Modeling Patch-based Dynamics H. Minoura Ryo Yonetani Mai Nishimura Yoshitaka Ushiku 33 12 0 22 Nov 2019
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
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting Vishwanath A. Sindagi Vishal M. Patel 21 176 0 28 Aug 2019
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting Junyu Gao Qi. Wang Yuan. Yuan 14 191 0 10 Aug 2019
HA-CCN: Hierarchical Attention-based Crowd Counting Network Vishwanath A. Sindagi Vishal M. Patel 8 187 0 24 Jul 2019
C^3 Framework: An Open-source PyTorch Code for Crowd Counting Junyu Gao Wei Lin Bingyan Zhao Dong Wang Chenyu Gao Jun Wen 33 87 0 05 Jul 2019