Stephen D. Miller

Computer Vision and Pattern Recognition · with Koltun · 2013–2016

A researcher in the Science corpus: 4 papers; trusts 93 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen D. Miller trusts overall

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

  1. Radu Bogdan Rusu
  2. Richard A. Newcombe
  3. Peter Henry
  4. Felix Endres
  5. Brian Curless
  6. Szymon Rusinkiewicz
  7. Qian-Yi Zhou
  8. Andrew J. Davison
  9. Marc Levoy
  10. David G. Lowe

Who trusts Stephen D. Miller overall

  1. Angela Dai
  2. P. Hanrahan
  3. Hao Wang
  4. Thomas Whelan
  5. Martin Rünz
  6. Eric Crawford
  7. Xiaozhi Chen
  8. Ali Borji
  9. Angel X. Chang
  10. Michael Firman

Papers from Stephen D. Miller's perspective

Ordered by how strongly the researchers Stephen D. Miller 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers