8 citations · 14 across the 14 of their papers we have counts for
15 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…
InterOCF: Spatio-Temporal 2D-3D Interaction for Camera-Only 4D Occupancy Forecasting
Qi Zhang, Xinquan Yu, Kaiyi Zhang +1
Camera-only 4D occupancy forecasting enables autonomous vehicles to predict future 3D semantic scenes solely from historical multi-view images, which is critical for driving safety…
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…
Multi-view Crowd Tracking Transformer with View-Ground Interactions Under Large Real-World Scenes
Qi Zhang, Jixuan Chen, Kaiyi Zhang +3
Multi-view crowd tracking estimates each person's tracking trajectories on the ground of the scene. Recent research works mainly rely on CNNs-based multi-view crowd tracking archit…
SynMVCrowd: A Large Synthetic Benchmark for Multi-view Crowd Counting and Localization
Qi Zhang, Daijie Chen, Yunfei Gong +1
Existing multi-view crowd counting and localization methods are evaluated under relatively small scenes with limited crowd numbers, camera views, and frames. This makes the evaluat…
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…
Multi-view Optimal Transport for Multi-view Crowd Localization and Tracking
Qi Zhang, Kaiyi Zhang, Antoni B. Chan +2
Multi-view crowd localization and tracking aim to predict the ground-plane positions of all individuals in the scene and estimate their trajectories over time. Existing multi-view…
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…
Cross-View Cross-Scene Multi-View Crowd Counting
Qi Zhang, Wei Lin, Antoni B. Chan
Multi-view crowd counting has been previously proposed to utilize multi-cameras to extend the field-of-view of a single camera, capturing more people in the scene, and improve coun…
Wide-Area Crowd Counting: Multi-View Fusion Networks for Counting in Large Scenes
Qi Zhang, Antoni B. Chan
Crowd counting in single-view images has achieved outstanding performance on existing counting datasets. However, single-view counting is not applicable to large and wide scenes (e…
Single-Frame based Deep View Synchronization for Unsynchronized Multi-Camera Surveillance
Qi Zhang, Antoni B. Chan
Multi-camera surveillance has been an active research topic for understanding and modeling scenes. Compared to a single camera, multi-cameras provide larger field-of-view and more…
3D Crowd Counting via Geometric Attention-guided Multi-View Fusion
Qi Zhang, Antoni B. Chan
Recently multi-view crowd counting using deep neural networks has been proposed to enable counting in large and wide scenes using multiple cameras. The current methods project the…