Ryan M. Eustice

Computer Vision and Pattern Recognition · 2006–2019

A researcher in the Science corpus: 11 papers; trusts 387 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan M. Eustice trusts overall

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

  1. Geoffrey E. Hinton
  2. David G. Lowe
  3. Sebastian Thrun
  4. Yann LeCun
  5. Edwin Olson
  6. Ruslan Salakhutdinov
  7. Jesse Levinson
  8. Yoshua Bengio
  9. Andrew Zisserman
  10. Jonathan Richard Shewchuk

Who trusts Ryan M. Eustice overall

  1. Nicholas Carlevaris-Bianco
  2. Kurt Konolige
  3. Chongyi Li
  4. Ryan W. Wolcott
  5. Liam Paull
  6. Shi-Chieh Lin
  7. Derya Akkaynak
  8. Ekim Yurtsever
  9. Jun Zhang
  10. Yan-Tsung Peng

Papers from Ryan M. Eustice's perspective

Ordered by how strongly the researchers Ryan M. Eustice 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers