Giljoo Nam

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Giljoo Nam trusts overall

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

  1. Karen Simonyan

Papers from Giljoo Nam's perspective

Ordered by how strongly the researchers Giljoo Nam trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Fully convolutional networks for semantic segmentation
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers