Dillon Sharlet

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 99 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Dillon Sharlet trusts overall

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

  1. Kostadin Dabov
  2. Diederik P. Kingma
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. John P. Lewis
  6. Alessandro Foi
  7. Stefan Roth
  8. Thomas Brox
  9. Alex Krizhevsky
  10. Jimmy Ba

Who trusts Dillon Sharlet overall

  1. Ben Mildenhall
  2. Qifeng Chen
  3. Jonathan T. Barron

Papers from Dillon Sharlet's perspective

Ordered by how strongly the researchers Dillon Sharlet trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers