collaborators

5 papers

cs.CV2026

Multiview Multi-Person Human Mesh Recovery Under Large Scenes with Occlusions

Qi Zhang, Tao Yu, Jiechao He +2

Human mesh recovery (HMR) aims to recover 3D human meshes from images. Most existing HMR benchmarks and methods focus on either multi-person reconstruction from a single view or si…

cs.CV2026

EnvSocial-Diff: A Diffusion-Based Crowd Simulation Model with Environmental Conditioning and Individual-Group Interaction

Bingxue Zhao, Qi Zhang, Hui Huang

Modeling realistic pedestrian trajectories requires accounting for both social interactions and environmental context, yet most existing approaches largely emphasize social dynamic…

cs.CV2025

Semi-Supervised Multi-View Crowd Counting by Ranking Multi-View Fusion Models

Qi Zhang, Yunfei Gong, Zhidan Xie +3

Multi-view crowd counting has been proposed to deal with the severe occlusion issue of crowd counting in large and wide scenes. However, due to the difficulty of collecting and ann…

cs.CV2025

View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection

Qi Zhang, Zhouhang Luo, Tao Yu +1

View transformation robustness (VTR) is critical for deep-learning-based multi-view 3D object reconstruction models, which indicates the methods' stability under inputs with variou…

cs.CV2025

Active View Selection for Scene-level Multi-view Crowd Counting and Localization with Limited Labeling Budget

Qi Zhang, Bin Li, Antoni B. Chan +1

Multi-view crowd counting and localization fuse the input multi-views for estimating the crowd number or locations on the ground. Existing methods mainly focus on accurately predic…