Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research focused on Artificial intelligence and Parsing, with related work in Cultural heritage, Spoofing attack, Benchmark (surveying). Notable publications include 'Person Search via a Mask-Guided Two-Stream CNN Model', 'From Simple to Complex Scenes: Learning Robust Feature Representations for Accurate Human Parsing', and 'Hierarchical Online Instance Matching for Person Search'.
From Simple to Complex Scenes: Learning Robust Feature Representations for Accurate Human Parsing
How to Boost Anti-Spoofing with X-Vectors
Investigating the Visual Behavior Characteristics of Architectural Heritage Using Eye-Tracking
Human Co-Parsing Guided Alignment for Occluded Person Re-Identification
Hierarchical Online Instance Matching for Person Search
Person Search by Separated Modeling and A Mask-Guided Two-Stream CNN Model
Person Search via a Mask-Guided Two-Stream CNN Model