Tu N. Nguyen

Computer Vision and Pattern Recognition · with Chowdary · 2021

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tu N. Nguyen trusts overall

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

  1. Karen Simonyan
  2. Shan Li
  3. Christian Szegedy
  4. Andrew Zisserman
  5. Hongwei Ng
  6. Kaiming He
  7. Andrew G. Howard

Papers from Tu N. Nguyen's perspective

Ordered by how strongly the researchers Tu N. Nguyen 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Rethinking the Inception Architecture for Computer Vision
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers