28 citations · 93 across the 9 of their papers we have counts for
9 papers · 1 filter
Scale Attention for Learning Deep Face Representation: A Study Against Visual Scale Variation
Hailin Shi, Hang Du, Yibo Hu +3
Human face images usually appear with wide range of visual scales. The existing face representations pursue the bandwidth of handling scale variation via multi-scale scheme that as…
Towards NIR-VIS Masked Face Recognition
Hang Du, Hailin Shi, Yinglu Liu +2
Near-infrared to visible (NIR-VIS) face recognition is the most common case in heterogeneous face recognition, which aims to match a pair of face images captured from two different…
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…
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…
Zooming into Face Forensics: A Pixel-level Analysis
Jia Li, Tong Shen, Wei Zhang +3
The stunning progress in face manipulation methods has made it possible to synthesize realistic fake face images, which poses potential threats to our society. It is urgent to have…