Aria Pezeshk

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 75 citations into it
• Artificial Intelligence — 68 citations into it
• Radiology, Nuclear Medicine and Imaging — 66 citations into it
• Radiation — 6 citations into it

Whom Aria Pezeshk trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Yoshua Bengio
4. Ilya Sutskever
5. Alex Krizhevsky
6. Kaiming He
7. J. Urgen Schmidhuber
8. Matthew D. Zeiler
9. Sepp Hochreiter
10. Diederik P. Kingma

Papers from Aria Pezeshk's perspective

Ordered by how strongly the researchers Aria Pezeshk 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep learning in medical imaging and radiation therapy. (2018) — 668 citations