1 citations · 1 across the 8 of their papers we have counts for
9 papers
Instance Segmentation and Fine-grained Classification for Urban Buildings with Adaptive Region Dividing and Spatially-Supervised Contrastive Learning
Weiyuan Zhang, Qi Zhang, Hui Huang
Accurate instance-level and functional understanding of urban buildings in large-scale point clouds is essential for digital city modeling and urban analysis. However, the extensiv…
StreetDiff: Multi-view Street Scenes Generation via Cross-view Consistent Multi-view Stable Diffusion with Structure Prompts
Qi Zhang, Yanyifan Wang, Weiyuan Zhang +1
Multi-view diffusion models have shown strong performance in scenes with strong geometric priors and sparse semantics, such as indoor rooms or simple outdoor environments (e.g., fi…
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…
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…
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…
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…
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…
Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization
Qi Zhang, Kaiyi Zhang, Antoni B. Chan +1
Multi-view crowd localization predicts the ground locations of all people in the scene. Typical methods usually estimate the crowd density maps on the ground plane first, and then…
Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting
Qi Zhang, Yunfei Gong, Daijie Chen +2
Recent deep learning-based multi-view people detection (MVD) methods have shown promising results on existing datasets. However, current methods are mainly trained and evaluated on…