1.7k citations · 1.8k across the 10 of their papers we have counts for
7 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…
Embedding Deep Metric for Person Re-identication A Study Against Large Variations
Hailin Shi, Yang Yang, Xiangyu Zhu +4
Person re-identification is challenging due to the large variations of pose, illumination, occlusion and camera view. Owing to these variations, the pedestrian data is distributed…
Learning Face Representation from Scratch
Dong Yi, Zhen Lei, Shengcai Liao +1
Pushing by big data and deep convolutional neural network (CNN), the performance of face recognition is becoming comparable to human. Using private large scale training datasets, s…
Open-set Person Re-identification
Shengcai Liao, Zhipeng Mo, Jianqing Zhu +2
Person re-identification is becoming a hot research for developing both machine learning algorithms and video surveillance applications. The task of person re-identification is to…
Shared Representation Learning for Heterogeneous Face Recognition
Dong Yi, Zhen Lei, Shengcai Liao +1
After intensive research, heterogenous face recognition is still a challenging problem. The main difficulties are owing to the complex relationship between heterogenous face image…