A Spatio-Temporal Attentive Network for Video-Based Crowd Counting

24 August 2022

Papers citing "A Spatio-Temporal Attentive Network for Video-Based Crowd Counting"

5 / 5 papers shown

Title
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches Luca Ciampi Ali Azmoudeh Elif Ecem Akbaba Erdi Sarıtaş Ziya Ata Yazıcı H. K. Ekenel Giuseppe Amato Fabrizio Falchi 97 0 0 31 Jan 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 71 0 0 20 Nov 2024
Development of a Realistic Crowd Simulation Environment for Fine-grained Validation of People Tracking Methods P. Foszner Agnieszka Szczęsna Luca Ciampi Nicola Messina Adam Cygan Bartosz Bizoń M. Cogiel Dominik Golba E. Macioszek M. Staniszewski 16 5 0 26 Apr 2023
CrowdSim2: an Open Synthetic Benchmark for Object Detectors P. Foszner Agnieszka Szczęsna Luca Ciampi Nicola Messina Adam Cygan Bartosz Bizoń M. Cogiel Dominik Golba E. Macioszek M. Staniszewski 11 6 0 11 Apr 2023
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 278 1,981 0 09 Feb 2021