Locality-constrained Spatial Transformer Network for Video Crowd Counting

18 July 2019

Papers citing "Locality-constrained Spatial Transformer Network for Video Crowd Counting"

38 / 38 papers shown

Title
Video Individual Counting for Moving Drones Yaowu Fan Jia Wan Tao Han Antoni B. Chan Andy J. Ma 43 0 0 12 Mar 2025
Depth-Assisted Network for Indiscernible Marine Object Counting with Adaptive Motion-Differentiated Feature Encoding Chengzhi Ma Kunqian Li Shuaixin Liu Han Mei 63 0 0 11 Mar 2025
Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Bing Cao Quanhao Lu Jiekang Feng Pengfei Zhu Q. Hu Qilong Wang 73 0 0 20 Nov 2024
CrowdMAC: Masked Crowd Density Completion for Robust Crowd Density Forecasting Ryoske Fujii Ryo Hachiuma Hideo Saito 40 1 0 20 Jul 2024
Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation Junyu Gao Da Zhang Qiyu Wang Zhiyuan Zhao Xuelong Li 49 0 0 22 Apr 2024
A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Video Cheng-Yen Yang Hsiang-Wei Huang Zhongyu Jiang Hao Wang Farron Wallace Lei Li 33 3 0 06 Mar 2024
Curriculum for Crowd Counting -- Is it Worthy? Muhammad Asif Khan Hamid Menouar R. Hamila 28 1 0 15 Jan 2024
VIoTGPT: Learning to Schedule Vision Tools towards Intelligent Video Internet of Things Yaoyao Zhong Mengshi Qi Rui Wang Yuhan Qiu Yang Zhang Huadong Ma 30 2 0 01 Dec 2023
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
Elixir: A system to enhance data quality for multiple analytics on a video stream Sibendu Paul Kunal Rao G. Coviello Murugan Sankaradas Oliver Po Y. C. Hu S. Chakradhar 29 1 0 08 Dec 2022
A Spatio-Temporal Attentive Network for Video-Based Crowd Counting Marco Avvenuti Marco Bongiovanni Luca Ciampi Fabrizio Falchi Claudio Gennaro Nicola Messina 31 9 0 24 Aug 2022
Why is the video analytics accuracy fluctuating, and what can we do about it? Sibendu Paul Kunal Rao G. Coviello Murugan Sankaradas Oliver Po Y. C. Hu S. Chakradhar AAML 35 3 0 23 Aug 2022
Few-shot Object Counting and Detection Trung Quoc Nguyen Chau Pham Khoi Duc Minh Nguyen Minh Hoai 19 48 0 22 Jul 2022
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting Justin Kay Peter Kulits Suzanne Stathatos Siqi Deng Erik Young Sara Beery Grant Van Horn Pietro Perona 27 26 0 19 Jul 2022
An Improved Normed-Deformable Convolution for Crowd Counting Xinru Zhong Zhaoyi Yan Jin Qin W. Zuo Weigang Lu 31 14 0 16 Jun 2022
Counting in the 2020s: Binned Representations and Inclusive Performance Measures for Deep Crowd Counting Approaches Sravya Vardhani Shivapuja A. Gopinath Ayush Gupta Ganesh Ramakrishnan Ravi Kiran Sarvadevabhatla 24 0 0 10 Apr 2022
DR.VIC: Decomposition and Reasoning for Video Individual Counting Tao Han Lei Bai Junyuan Gao Qi. Wang Wanli Ouyang OT 39 23 0 23 Mar 2022
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines Ajmal Shahbaz Salman Khan M. Hossain Vincenzo Lomonaco Kevin J. Cannons Zhan Xu Fabio Cuzzolin CLL MU 24 4 0 27 Oct 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 47 6 0 10 Oct 2021
Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer Junyuan Gao Maoguo Gong Xuelong Li ViT 24 46 0 02 Aug 2021
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results Dawei Du Longyin Wen Pengfei Zhu Heng Fan Q. Hu ... Zhenyu Xu Zhijian Zhao Zhipeng Luo Zhiwei Wei Zhiyuan Zhao 30 16 0 19 Jul 2021
Video Crowd Localization with Multi-focus Gaussian Neighborhood Attention and a Large-Scale Benchmark Haopeng Li Lingbo Liu Kunlin Yang Shinan Liu Junyuan Gao Bin Zhao Rui Zhang Jun Hou 47 14 0 19 Jul 2021
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark Longyin Wen Dawei Du Pengfei Zhu Q. Hu Qilong Wang Liefeng Bo Siwei Lyu 29 93 0 06 May 2021
Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting Haoyue Bai Shueng-Han Gary Chan 27 5 0 28 Apr 2021
Pose Recognition with Cascade Transformers Ke Li Shijie Wang Xiang Zhang Yifan Xu Weijian Xu Zhuowen Tu ViT 43 209 0 14 Apr 2021
Leveraging Self-Supervision for Cross-Domain Crowd Counting Weizhe Liu N. Durasov Pascal Fua 22 40 0 30 Mar 2021
Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation Yu-Jen Ma Hong-Han Shuai Wen-Huang Cheng 21 48 0 29 Jan 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 44 22 0 31 Dec 2020
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 Weizhe Liu Mathieu Salzmann Pascal Fua 3DH 39 32 0 01 Dec 2020
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting Mahesh Kumar Krishna Reddy Mrigank Rochan Yiwei Lu Yang Wang 32 25 0 23 Oct 2020
Learning Error-Driven Curriculum for Crowd Counting Wenxi Li Zhuoqun Cao Qian Wang Songjian Chen Rui Feng 25 7 0 19 Jul 2020
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
Towards Using Count-level Weak Supervision for Crowd Counting Yinjie Lei Yan Liu Pingping Zhang Lingqiao Liu 23 94 0 29 Feb 2020
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization Qi. Wang Junyu Gao Wei Lin Xuelong Li 43 380 0 10 Jan 2020
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network Longyin Wen Dawei Du Pengfei Zhu Q. Hu Qilong Wang Liefeng Bo Siwei Lyu 3DV AI4TS 13 26 0 04 Dec 2019
Estimating People Flows to Better Count Them in Crowded Scenes Weizhe Liu Mathieu Salzmann Pascal Fua OT 3DH 27 38 0 25 Nov 2019
Crowd Density Forecasting by Modeling Patch-based Dynamics H. Minoura Ryo Yonetani Mai Nishimura Yoshitaka Ushiku 33 12 0 22 Nov 2019