5 papers
Beyond Appearance: A Multi-cue Framework and Large-scale Benchmark for Pedestrian Association and Tracking on Mobile Aerial-Ground Platforms
Ruiqi Wu, Bingliang Jiao, Ruize Han +6
Multi-view Multi-object Association and Tracking (MvMoAT) associates objects across camera views and tracks them over time, supporting identity persistence and forensic trajectory…
SeCap: Self-Calibrating and Adaptive Prompts for Cross-view Person Re-Identification in Aerial-Ground Networks
Shining Wang, Yunlong Wang, Ruiqi Wu +3
When discussing the Aerial-Ground Person Re-identification (AGPReID) task, we face the main challenge of the significant appearance variations caused by different viewpoints, makin…
Dynamic Textual Prompt For Rehearsal-free Lifelong Person Re-identification
Hongyu Chen, Bingliang Jiao, Wenxuan Wang +1
Lifelong person re-identification attempts to recognize people across cameras and integrate new knowledge from continuous data streams. Key challenges involve addressing catastroph…
Enhancing Visible-Infrared Person Re-identification with Modality- and Instance-aware Visual Prompt Learning
Ruiqi Wu, Bingliang Jiao, Wenxuan Wang +2
The Visible-Infrared Person Re-identification (VI ReID) aims to match visible and infrared images of the same pedestrians across non-overlapped camera views. These two input modali…
Dual-Modal Prompting for Sketch-Based Image Retrieval
Liying Gao, Bingliang Jiao, Peng Wang +3
Sketch-based image retrieval (SBIR) associates hand-drawn sketches with their corresponding realistic images. In this study, we aim to tackle two major challenges of this task simu…