Scott Satkin

Computer Vision and Pattern Recognition · 2010–2014

A researcher in the Science corpus: 2 papers; trusts 389 researchers and is trusted by 84 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it; #3,425 of 21,575 by trust here, #11,083 by citations
• Aerospace Engineering — 12 citations into it; #6,194 of 6,421 by trust here, #5,612 by citations
• Artificial Intelligence — 10 citations into it; #9,544 of 35,345 by trust here, #18,186 by citations

Whom Scott Satkin trusts overall

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

1. Antonio Torralba
2. Derek Hoiem
3. Chih-Jen Lin
4. Ivan Laptev
5. Geoffrey E. Hinton
6. David G. Lowe
7. Alexei A. Efros
8. Alex Krizhevsky
9. Ross B. Girshick
10. Kaiming He

Who trusts Scott Satkin overall

1. Chen Sun
2. Kevin D. Tang
3. Yu-Gang Jiang
4. Amlan Kar
5. Arpit Jain
6. Minh Hoai Nguyen
7. Li Fei-Fei
8. Abhishek Kar
9. Hamid Izadinia
10. Ramkant Nevatia

Papers from Scott Satkin's perspective

Ordered by how strongly the researchers Scott Satkin 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Modeling the Temporal Extent of Actions (2010) — 134 citations
• 3DNN: 3D Nearest Neighbor (2014) — 23 citations