Daniel J. Butler

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 700 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel J. Butler trusts overall

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

  1. Thomas Brox
  2. Deqing Sun
  3. David J. Field
  4. Stefan Roth
  5. Jitendra Malik
  6. Simon Baker
  7. Manuel Werlberger
  8. Michael J. Black
  9. Eero P. Simoncelli
  10. Daniel Scharstein

Who trusts Daniel J. Butler overall

  1. Deqing Sun
  2. Sergey I. Nikolenko
  3. Zachary Teed
  4. Michael Firman
  5. Pengpeng Liu
  6. Fatma Güney
  7. Stefan Roth
  8. Rowel O. Atienza
  9. Jonas Wulff
  10. Junhwa Hur

Papers from Daniel J. Butler's perspective

Ordered by how strongly the researchers Daniel J. Butler 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. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers