Yang Yi

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 82 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it; #10,502 of 21,575 by trust here, #18,782 by citations
• Artificial Intelligence — 23 citations into it

Whom Yang Yi trusts overall

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

1. Yoshua Bengio
2. Matthew D. Zeiler
3. Geoffrey E. Hinton
4. Sergey Ioffe
5. Alex Krizhevsky
6. Xavier Glorot
7. Jessica J. Fridrich
8. Yann LeCun
9. Kaiming He
10. Christian Szegedy

Who trusts Yang Yi overall

1. Jue Wang
2. Anoop Cherian
3. Fatih Murat Porikli

Papers from Yang Yi's perspective

Ordered by how strongly the researchers Yang Yi 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Human action recognition with graph-based multiple-instance learning (2016) — 49 citations
• Deep Learning Hierarchical Representations for Image Steganalysis (2017) — 736 citations