Nathan Jacobs

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 4 papers; trusts 678 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Nathan Jacobs trusts overall

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

  1. Diederik P. Kingma
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Kaiming He
  7. Andrew Zisserman
  8. Christian Szegedy
  9. James Hays
  10. Yoshua Bengio

Who trusts Nathan Jacobs overall

  1. Liu Liu
  2. Nam N. Vo
  3. Zhedong Zheng
  4. Sixing Hu
  5. Eric Müller-Budack
  6. Tobias Weyand
  7. Paul Hongsuck Seo
  8. Zhipeng Cai
  9. Giorgos Tolias
  10. Hongdong Li

Papers from Nathan Jacobs's perspective

Ordered by how strongly the researchers Nathan Jacobs 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers