activity
20182021
most citedLearning Spatial Attention for Face Super-Resolution

219 citations · 231 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2021

LARNet: Lie Algebra Residual Network for Face Recognition

Xiaolong Yang, Xiaohong Jia, Dihong Gong +3

Face recognition is an important yet challenging problem in computer vision. A major challenge in practical face recognition applications lies in significant variations between pro…

cs.CV2020219 cited

Learning Spatial Attention for Face Super-Resolution

Chaofeng Chen, Dihong Gong, Hao Wang +2

General image super-resolution techniques have difficulties in recovering detailed face structures when applying to low resolution face images. Recent deep learning based methods t…

cs.CV2019

Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network

Lingxue Song, Dihong Gong, Zhifeng Li +2

Deep Convolutional Neural Networks (CNNs) have been pushing the frontier of the face recognition research in the past years. However, existing general CNN face models generalize po…

cs.CV201912 cited

Decorrelated Adversarial Learning for Age-Invariant Face Recognition

Hao Wang, Dihong Gong, Zhifeng Li +1

There has been an increasing research interest in age-invariant face recognition. However, matching faces with big age gaps remains a challenging problem, primarily due to the sign…

cs.CV2018

Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition

Yitong Wang, Dihong Gong, Zheng Zhou +5

As facial appearance is subject to significant intra-class variations caused by the aging process over time, age-invariant face recognition (AIFR) remains a major challenge in face…