Namkug Kim

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 65 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Namkug Kim trusts overall

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

  1. Geoffrey E. Hinton
  2. Mark S. Nixon

Papers from Namkug Kim's perspective

Ordered by how strongly the researchers Namkug Kim 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. GENERATIVE ADVERSARIAL NETS
  7. Microsoft COCO: Common Objects in Context
  8. Fully convolutional networks for semantic segmentation
  9. A Fast Learning Algorithm for Deep Belief Nets
  10. ImageNet: A large-scale hierarchical image database

Their papers