Chang Huang

Computer Vision and Pattern Recognition · with Bai · 2015

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it; #16,386 of 21,575 by trust here, #12,172 by citations
• Signal Processing — 8 citations into it; #5,634 of 7,572 by trust here, #3,099 by citations

Whom Chang Huang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yi Sun
2. Xiaogang Wang
3. Gary B. Huang

Who trusts Chang Huang overall

1. Weihong Deng
2. Mei Wang
3. Yandong Wen

Papers from Chang Huang's perspective

Ordered by how strongly the researchers Chang Huang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
2. ImageNet classification with deep convolutional neural networks
3. FaceNet: A unified embedding for face recognition and clustering
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Going deeper with convolutions
7. Deep Learning Face Representation by Joint Identification-Verification
8. ImageNet Large Scale Visual Recognition Challenge
9. Deeply learned face representations are sparse, selective, and robust
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Targeting Ultimate Accuracy: Face Recognition via Deep Embedding (2015) — 245 citations