304 citations · 1.1k across the 38 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…
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…