1.7k citations · 1.9k across the 7 of their papers we have counts for
7 papers
UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments
Ye Yuan, Wenhan Yang, Wenqi Ren +3
The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…
Large-scale Bisample Learning on ID Versus Spot Face Recognition
Xiangyu Zhu, Hao Liu, Zhen Lei +5
In real-world face recognition applications, there is a tremendous amount of data with two images for each person. One is an ID photo for face enrollment, and the other is a probe…
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition
Guosheng Hu, Yongxin Yang, Dong Yi +4
Deep learning, in particular Convolutional Neural Network (CNN), has achieved promising results in face recognition recently. However, it remains an open question: why CNNs work we…
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…
Deep Metric Learning for Practical Person Re-Identification
Dong Yi, Zhen Lei, Stan Z. Li
Various hand-crafted features and metric learning methods prevail in the field of person re-identification. Compared to these methods, this paper proposes a more general way that c…
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…