Jason Salavon

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #10,905 of 21,575 by trust here, #15,529 by citations
• Computer Graphics and Computer-Aided Design — 6 citations into it; #753 of 1,584 by trust here, #976 by citations
• Generative Models — 5 citations into it

Whom Jason Salavon trusts overall

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

1. Karen Simonyan
2. Leon A. Gatys
3. Andrew Zisserman
4. Jing Liao
5. Bharath Hariharan
6. Geoffrey E. Hinton
7. Ross B. Girshick
8. Alex Krizhevsky
9. Kaiming He
10. Mohammadreza Mostajabi

Who trusts Jason Salavon overall

1. Taesung Park
2. Peter Schaldenbrand
3. Omer Bar-Tal
4. Narek Tumanyan
5. Xiaolei Wu

Papers from Jason Salavon's perspective

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

Their papers

• Style Transfer by Relaxed Optimal Transport and Self-Similarity (2019) — 326 citations