4 papers · 1 filter
ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search
Chaodong Jia, Zequn Xie, Xibei Jia +3
Text-Based Person Search (TBPS) aims to retrieve pedestrian images using natural language queries. However, existing TBPS models, especially those based on CLIP, struggle with fine…
Bridging the Pose-Semantic Gap: A Cascade Framework for Text-Based Person Anomaly Search
Zequn Xie, Guijin Luo, Chuxin Wang +4
Text-based person anomaly search retrieves specific behavioral events from surveillance archives using natural-language queries. Although recent pose-aware methods align geometric…
HVD: Human Vision-Driven Video Representation Learning for Text-Video Retrieval
Zequn Xie, Xin Liu, Boyun Zhang +3
The success of CLIP has driven substantial progress in text-video retrieval. However, current methods often suffer from "blind" feature interaction, where the model struggles to di…
Delving Deeper: Hierarchical Visual Perception for Robust Video-Text Retrieval
Zequn Xie, Boyun Zhang, Yuxiao Lin +1
Video-text retrieval (VTR) aims to locate relevant videos using natural language queries. Current methods, often based on pre-trained models like CLIP, are hindered by video's inhe…