Mooi Choo Choo Chuah

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 4 papers; trusts 56 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Mooi Choo Choo Chuah trusts overall

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

  1. Nachiket Deo
  2. David William Aha
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Di Wu
  7. Ilya Sutskever

Who trusts Mooi Choo Choo Chuah overall

  1. J. Martínez Torres
  2. Young Bin Kim

Papers from Mooi Choo Choo Chuah's perspective

Ordered by how strongly the researchers Mooi Choo Choo Chuah 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers