Viet-Hung Tran

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 389 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Viet-Hung Tran trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Kaiming He
  6. Ian J. Goodfellow
  7. Ngoc-Trung Tran
  8. Yann LeCun
  9. Jeff Donahue
  10. Ilya Sutskever

Who trusts Viet-Hung Tran overall

  1. Jongheon Jeong
  2. Ngoc-Trung Tran
  3. Sam Bond-Taylor
  4. Axel Sauer
  5. Bingchen Liu

Papers from Viet-Hung Tran's perspective

Ordered by how strongly the researchers Viet-Hung Tran 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers