1.8k citations · 2.7k across the 5 of their papers we have counts for
5 papers
How Data Augmentation affects Optimization for Linear Regression
Boris Hanin, Yi Sun
Though data augmentation has rapidly emerged as a key tool for optimization in modern machine learning, a clear picture of how augmentation schedules affect optimization and intera…
Sparsifying Neural Network Connections for Face Recognition
Yi Sun, Xiaogang Wang, Xiaoou Tang
This paper proposes to learn high-performance deep ConvNets with sparse neural connections, referred to as sparse ConvNets, for face recognition. The sparse ConvNets are learned in…
DeepID3: Face Recognition with Very Deep Neural Networks
Yi Sun, Ding Liang, Xiaogang Wang +1
The state-of-the-art of face recognition has been significantly advanced by the emergence of deep learning. Very deep neural networks recently achieved great success on general obj…
Deeply learned face representations are sparse, selective, and robust
Yi Sun, Xiaogang Wang, Xiaoou Tang
This paper designs a high-performance deep convolutional network (DeepID2+) for face recognition. It is learned with the identification-verification supervisory signal. By increasi…
Deep Learning Face Representation by Joint Identification-Verification
Yi Sun, Xiaogang Wang, Xiaoou Tang
The key challenge of face recognition is to develop effective feature representations for reducing intra-personal variations while enlarging inter-personal differences. In this pap…