Tong Zhu

Computer Vision and Pattern Recognition · with Karam · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it; #10,820 of 21,575 by trust here, #20,756 by citations

Whom Tong Zhu trusts overall

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

1. Gary B. Huang

Who trusts Tong Zhu overall

1. Samuel F. Dodge
2. Prasun Roy
3. Lina Karam

Papers from Tong Zhu's perspective

Ordered by how strongly the researchers Tong Zhu 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. Distinctive Image Features from Scale-Invariant Keypoints
3. Going deeper with convolutions
4. A Fast Learning Algorithm for Deep Belief Nets
5. Rectified Linear Units Improve Restricted Boltzmann Machines
6. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
7. Greedy Layer-Wise Training of Deep Networks
8. Training Products of Experts by Minimizing Contrastive Divergence
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Quality labeled faces in the wild (QLFW): a database for studying face recognition in real-world environments (2015) — 54 citations