most citedA survey of face recognition techniques under occlusion

22 citations · 34 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV20201 cited

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…

cs.CV202022 cited

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…

cs.CV20203 cited

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…

cs.CV20198 cited

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…

cs.CV2019

Theme-Matters: Fashion Compatibility Learning via Theme Attention

Jui-Hsin Lai, Bo Wu, Xin Wang +3

Fashion compatibility learning is important to many fashion markets such as outfit composition and online fashion recommendation. Unlike previous work, we argue that fashion compat…

cs.CV2019

Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering

Zhao Zhang, Yan Zhang, Sheng Li +4

Concept Factorization (CF) and its variants may produce inaccurate representation and clustering results due to the sensitivity to noise, hard constraint on the reconstruction erro…