83 citations · 152 across the 4 of their papers we have counts for
4 papers
Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition
Hui Ding, Peng Zhou, Rama Chellappa
Recognizing the expressions of partially occluded faces is a challenging computer vision problem. Previous expression recognition methods, either overlooked this issue or resolved…
A Deep Cascade Network for Unaligned Face Attribute Classification
Hui Ding, Hao Zhou, Shaohua Kevin Zhou +1
Humans focus attention on different face regions when recognizing face attributes. Most existing face attribute classification methods use the whole image as input. Moreover, some…
ExprGAN: Facial Expression Editing with Controllable Expression Intensity
Hui Ding, Kumar Sricharan, Rama Chellappa
Facial expression editing is a challenging task as it needs a high-level semantic understanding of the input face image. In conventional methods, either paired training data is req…
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition
Hui Ding, Shaohua Kevin Zhou, Rama Chellappa
Relatively small data sets available for expression recognition research make the training of deep networks for expression recognition very challenging. Although fine-tuning can pa…