50 citations · 203 across the 22 of their papers we have counts for
5 papers · 1 filter
The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances
Hang Du, Hailin Shi, Dan Zeng +2
Face recognition is one of the most popular and long-standing topics in computer vision. With the recent development of deep learning techniques and large-scale datasets, deep face…
Semi-Siamese Training for Shallow Face Learning
Hang Du, Hailin Shi, Yuchi Liu +4
Most existing public face datasets, such as MS-Celeb-1M and VGGFace2, provide abundant information in both breadth (large number of IDs) and depth (sufficient number of samples) fo…
NPCFace: Negative-Positive Collaborative Training for Large-scale Face Recognition
Dan Zeng, Hailin Shi, Hang Du +3
The training scheme of deep face recognition has greatly evolved in the past years, yet it encounters new challenges in the large-scale data situation where massive and diverse har…
A survey of face recognition techniques under occlusion
Dan Zeng, Raymond Veldhuis, Luuk Spreeuwers
The limited capacity to recognize faces under occlusions is a long-standing problem that presents a unique challenge for face recognition systems and even for humans. The problem r…
Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks
Ning Zhang, Jingen Liu, Ke Wang +2
The current deep learning based visual tracking approaches have been very successful by learning the target classification and/or estimation model from a large amount of supervised…