Woo-Jin Han

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Woo-Jin Han trusts

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

  1. Simon Osindero (in Computer Vision and Pattern Recognition)
  2. Mehdi Mirza (in Computer Vision and Pattern Recognition)

Papers from Woo-Jin Han's perspective

Ordered by how strongly the researchers Woo-Jin Han trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  2. Conditional Generative Adversarial Nets
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers