Byungtae Ahn

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Byungtae Ahn 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. Hao Su
  8. Karen Simonyan
  9. Yann LeCun
  10. Ilya Sutskever

Papers from Byungtae Ahn's perspective

Ordered by how strongly the researchers Byungtae Ahn 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Histograms of oriented gradients for human detection

Their papers