Gyeongmin Choe

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 85 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gyeongmin Choe trusts overall

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

  1. David G. Lowe
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Alex Krizhevsky
  6. Vinod Nair
  7. Karen Simonyan
  8. Hao Su
  9. Yann LeCun
  10. Andrew Zisserman

Papers from Gyeongmin Choe's perspective

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