Terence Tay

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it; #5,458 of 21,575 by trust here, #11,083 by citations
• Media Technology — 8 citations into it; #577 of 3,621 by trust here, #1,206 by citations

Whom Terence Tay trusts overall

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

1. Jiaya Jia
2. Anat Levin
3. Rob Fergus
4. Sundaresh Ram
5. Dilip Krishnan
6. Li Xu
7. Sunghyun Cho
8. Niall P. Hurley
9. E.J. Candes
10. Oliver Whyte

Who trusts Terence Tay overall

1. Jin-shan Pan
2. Ayan Chakrabarti
3. Mauricio Delbracio
4. Nantheera Anantrasirichai
5. Tomer Michaeli
6. Huanrui Yang
7. Boyu Lu
8. Li Xu
9. Michaël Mathieu
10. Zhe Hu

Papers from Terence Tay's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Blind deconvolution using a normalized sparsity measure (2011) — 1,194 citations