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20172023
most citedCross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments

304 citations · 1.1k across the 38 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020★ 2 cited

Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation

Bingyu Liu, Yuhong Guo, Jieping Ye +1

Recent domain adaptation methods have demonstrated impressive improvement on unsupervised domain adaptation problems. However, in the semi-supervised domain adaptation (SSDA) setti…

cs.CV2020★ 1 cited

RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations

Wenjing Yan, Shan Li, Chengtao Que +2

Much of the work on automatic facial expression recognition relies on databases containing a certain number of emotion classes and their exaggerated facial configurations (generall…

cs.CV2020

Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition

Ping Liu, Yuewei Lin, Zibo Meng +4

In this paper, we propose a simple yet effective approach, named Point Adversarial Self Mining (PASM), to improve the recognition accuracy in facial expression recognition. Unlike…

cs.CV2020★ 5 cited

PropagationNet: Propagate Points to Curve to Learn Structure Information

Xiehe Huang, Weihong Deng, Haifeng Shen +2

Deep learning technique has dramatically boosted the performance of face alignment algorithms. However, due to large variability and lack of samples, the alignment problem in uncon…

cs.CV2020

Omni-supervised Facial Expression Recognition via Distilled Data

Ping Liu, Yunchao Wei, Zibo Meng +3

Facial expression plays an important role in understanding human emotions. Most recently, deep learning based methods have shown promising for facial expression recognition. Howeve…

cs.CV2020

Towards Transferable Adversarial Attack against Deep Face Recognition

Yaoyao Zhong, Weihong Deng

Face recognition has achieved great success in the last five years due to the development of deep learning methods. However, deep convolutional neural networks (DCNNs) have been fo…