22 citations · 66 across the 12 of their papers we have counts for
18 papers
Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification
Yanan Wang, Xuezhi Liang, Shengcai Liao
Recently, large-scale synthetic datasets are shown to be very useful for generalizable person re-identification. However, synthesized persons in existing datasets are mostly cartoo…
Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond
Irtiza Hasan, Shengcai Liao, Jinpeng Li +2
Pedestrian detection is the cornerstone of many vision based applications, starting from object tracking to video surveillance and more recently, autonomous driving. With the rapid…
Efficient Person Search: An Anchor-Free Approach
Yichao Yan, Jinpeng Li, Jie Qin +2
Person search aims to simultaneously localize and identify a query person from realistic, uncropped images. To achieve this goal, state-of-the-art models typically add a re-id bran…
Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction
Fang Zhao, Wenhao Wang, Shengcai Liao +1
While single-view 3D reconstruction has made significant progress benefiting from deep shape representations in recent years, garment reconstruction is still not solved well due to…
Local-to-Global Self-Attention in Vision Transformers
Jinpeng Li, Yichao Yan, Shengcai Liao +2
Transformers have demonstrated great potential in computer vision tasks. To avoid dense computations of self-attentions in high-resolution visual data, some recent Transformer mode…
AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection
Hongsong Wang, Shengcai Liao, Ling Shao
Unsupervised domain adaptation for object detection is a challenging problem with many real-world applications. Unfortunately, it has received much less attention than supervised o…