Takafumi Taketomi

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Takafumi Taketomi trusts overall

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

  1. Jakob J. Engel
  2. Daniel Cremers
  3. Jürgen Sturm
  4. Hauke Strasdat
  5. David Nistér
  6. Georg S. W. Klein
  7. Andrew J. Davison
  8. Christian Kerl
  9. Richard A. Newcombe
  10. José M. M. Montiel

Who trusts Takafumi Taketomi overall

  1. Andréa Macario Barros
  2. Maugan Michel

Papers from Takafumi Taketomi's perspective

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

Their papers