Aron Yu

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 463 researchers and is trusted by 483 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it; #1,905 of 21,575 by trust here, #6,737 by citations
• Artificial Intelligence — 19 citations into it; #4,191 of 35,345 by trust here, #11,072 by citations
• Representation & Self-Supervised Learning — 9 citations into it

Whom Aron Yu trusts overall

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

1. Antonio Torralba
2. Devi Parikh
3. Thorsten Joachims
4. L. Eon Bottou
5. Geoffrey E. Hinton
6. Kristen Grauman
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Karen Simonyan
10. Alexander C. Berg

Who trusts Aron Yu overall

1. Mengyao Zhai
2. Jun-Yan Zhu
3. Hsin-Ying Lee
4. Han-Jia Ye
5. Xiangyu Zhao
6. Weihao Xia
7. Patrick Esser
8. Xingchao Peng
9. Shibani Santurkar
10. Andreas Veit

Papers from Aron Yu's perspective

Ordered by how strongly the researchers Aron Yu 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Fine-Grained Visual Comparisons with Local Learning (2014) — 584 citations
• Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images (2016) — 163 citations