Jeremy Kawahara

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 88 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jeremy Kawahara trusts overall

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

  1. Karen Simonyan
  2. Alex Krizhevsky
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Andrew Zisserman
  6. Yangqing Jia
  7. Jeff Donahue
  8. Christian Szegedy
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Jeremy Kawahara overall

  1. Yuexiang Li
  2. Mert Yuksekgonul
  3. Lequan Yu
  4. Anuj Pareek
  5. Geert J. S. Litjens
  6. LinLin Shen
  7. Sarah Parisot
  8. Maggie Haitian Wang
  9. Hao Chen
  10. Xiaoxiao Li

Papers from Jeremy Kawahara's perspective

Ordered by how strongly the researchers Jeremy Kawahara 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers