David Kim

Computer Vision and Pattern Recognition · 2011–2016

A researcher in the Science corpus: 7 papers; trusts 36 researchers and is trusted by 110 researchers here, as inferred from the citation graph.

Subfields

Whom David Kim trusts overall

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

  1. Richard A. Newcombe
  2. Zhengyou Zhang
  3. Shai Avidan
  4. Pranav Mistry
  5. I. Oikonomidis
  6. David G. Lowe
  7. Javier Romero
  8. Marc Levoy
  9. Szymon Rusinkiewicz
  10. Brian Curless

Who trusts David Kim overall

  1. Shahram Izadi
  2. J. Laviola
  3. Eric Brachmann
  4. Angela Dai
  5. Thomas Whelan
  6. Yang Zhang
  7. Shuran Song
  8. Javier Romero
  9. Matthias Nießner
  10. Richard A. Newcombe

Papers from David Kim's perspective

Ordered by how strongly the researchers David Kim 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. Distinctive Image Features from Scale-Invariant Keypoints
  4. Gradient-based learning applied to document recognition
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers