Matthew H Tong

Cognitive Neuroscience · 2003–2008

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 14 citations into it; #5,636 of 10,852 by trust here, #3,051 by citations
• Computer Vision and Pattern Recognition — 13 citations into it; #11,941 of 21,575 by trust here, #7,750 by citations

Whom Matthew H Tong trusts overall

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

1. Laurent Itti
2. Christof Koch
3. Antonio Torralba
4. Aude Oliva
5. Mitchell P. Marcus
6. Barbara Olshausen
7. Anthony J. Bell
8. Anne Treisman
9. Pierre Baldi
10. Neil D. B. Bruce

Who trusts Matthew H Tong overall

1. Ming-Ming Cheng
2. Wenguan Wang
3. Miguel P. Eckstein
4. Junwei Han
5. Andrew S. Gordon
6. Tilke Judd
7. Dingwen Zhang
8. Jianming Zhang
9. Xiaohui Shen
10. Hao Chen

Papers from Matthew H Tong's perspective

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

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

Their papers

• SUN: A Bayesian framework for saliency using natural statistics. (2008) — 1,319 citations
• Extracting and evaluating general world knowledge from the Brown Corpus (2003) — 73 citations