Boosting Detection in Crowd Analysis via Underutilized Output Features

30 August 2023

Papers citing "Boosting Detection in Crowd Analysis via Underutilized Output Features"

5 / 5 papers shown

Title
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification Yiming Ma Victor Sanchez T. Guha 43 3 0 14 Mar 2024
Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates Chenyang Ma Xinchi Qiu Daniel J. Beutel Nicholas D. Lane FedML 18 12 0 15 Apr 2023
$CrowdDiff$ : Multi-hypothesis Crowd Density Estimation using Diffusion Models Y. Ranasinghe Nithin Gopalakrishnan Nair W. G. C. Bandara Vishal M. Patel DiffM 29 10 0 22 Mar 2023
MRTNet: Multi-Resolution Temporal Network for Video Sentence Grounding Wei Ji Long Chen Yin-wei Wei Yiming Wu Tat-Seng Chua AI4TS 29 18 0 26 Dec 2022
Learning Independent Instance Maps for Crowd Localization Junyu Gao Tao Han Qi. Wang Yuan. Yuan Xuelong Li 30 41 0 08 Dec 2020