Tengqi Ye

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it

Whom Tengqi Ye trusts overall

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

1. David G. Lowe
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Jianguo Zhang
5. Alex Krizhevsky
6. Yann LeCun
7. Pascal Vincent
8. James Bergstra
9. Cordelia Schmid
10. Ilya Sutskever

Who trusts Tengqi Ye overall

1. Chongman Leong
2. David Charte
3. Derek F. Wong

Papers from Tengqi Ye's perspective

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

Their papers

• Learning Multiple Views with Orthogonal Denoising Autoencoders (2016) — 20 citations