Buu Phan

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Buu Phan trusts overall

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

  1. Kaiming He
  2. François Chollet
  3. Liang-Chieh Chen
  4. Jia Deng
  5. Stephan R. Richter
  6. Magnus Wrenninge
  7. Mordechai (Muki) Haklay
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. X. Zhang

Who trusts Buu Phan overall

  1. Sergey I. Nikolenko

Papers from Buu Phan's perspective

Ordered by how strongly the researchers Buu Phan 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers