Mei Ngan

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 5 papers; trusts 91 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Mei Ngan trusts overall

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

  1. Kaiming He
  2. Deepayan Sarkar
  3. Gary B. Huang
  4. Florian Schroff
  5. Karen Simonyan
  6. Patrick Grother
  7. X. Zhang
  8. Andrew Zisserman
  9. Shaoqing Ren
  10. Geoffrey E. Hinton

Who trusts Mei Ngan overall

  1. Joy Buolamwini
  2. Os Keyes
  3. Inioluwa Deborah Raji
  4. Mahmoud Afifi
  5. Davinder Kaur
  6. James Wexler
  7. Timnit Gebru
  8. Stepan Alekseevich Komkov
  9. Abdelrahman Abdelhamed
  10. Morgan Klaus Scheuerman

Papers from Mei Ngan's perspective

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

Their papers