Sanjiv Kumar

Computer Vision and Pattern Recognition · 1 papers · 2006

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #5,460 of 21,575 by trust here, #13,269 by citations
• Artificial Intelligence — 5 citations into it

Whom Sanjiv Kumar trusts overall

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

1. Geoffrey E. Hinton
2. Michael Collins
3. Julian Besag
4. S. Li
5. Sanjiv Kumar
6. Rob Fergus
7. Vladimir Kolmogorov
8. John D. Lafferty
9. Antonio Torralba
10. B. Taskar

Who trusts Sanjiv Kumar overall

1. Justin Domke
2. Daniel Munoz
3. Stefan Roth
4. Charles Sutton
5. Jimei Yang
6. José Ignacio Orlando
7. Joachim Niemeyer
8. Yi-Feng Pan
9. Sabine Bauer
10. Ming-Hsuan Yang

Papers from Sanjiv Kumar's perspective

Ordered by how strongly the researchers Sanjiv Kumar 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Discriminative Random Fields (2006) — 445 citations