Nam Khanh Tran

Computer Vision and Pattern Recognition · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 170 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

Whom Nam Khanh Tran trusts overall

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

  1. David G. Lowe
  2. Magnus Sahlgren
  3. Marco Baroni
  4. George Karypis
  5. Andrew Zisserman
  6. Stephen Clark
  7. Peter D. Turney
  8. Geoffrey E. Hinton
  9. Mirella Lapata
  10. John A. Bullinaria

Who trusts Nam Khanh Tran overall

  1. Douwe Kiela
  2. Angeliki Lazaridou
  3. Marco Baroni
  4. Alessandro Lenci
  5. Oren Barkan
  6. Felix Hill
  7. Aurélie Herbelot
  8. Ngoc-Quan Pham
  9. José Camacho-Collados
  10. Ofir Press

Papers from Nam Khanh Tran's perspective

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

Their papers