Tao Mo

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #18,447 of 21,575 by trust here, #10,677 by citations

Whom Tao Mo trusts overall

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

1. David G. Lowe
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Marc'Aurelio Ranzato
5. Dan Claudiu Ciresan
6. Yann LeCun
7. Yoshua Bengio
8. Ilya Sutskever
9. Honglak Lee
10. Adam Coates

Who trusts Tao Mo overall

1. Oren Z. Kraus
2. Wafaa Alakwaa
3. Devinder Kumar
4. Brendan J. Frey

Papers from Tao Mo's perspective

Ordered by how strongly the researchers Tao Mo 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Distinctive Image Features from Scale-Invariant Keypoints
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep learning of feature representation with multiple instance learning for medical image analysis (2014) — 415 citations