Vincent Y. F. Tan

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 138 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vincent Y. F. Tan trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Yoshua Bengio
  6. Yann LeCun
  7. Ross B. Girshick
  8. Ilya Sutskever
  9. Tero Karras
  10. Jimmy Ba

Papers from Vincent Y. F. Tan's perspective

Ordered by how strongly the researchers Vincent Y. F. Tan 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers