Heeyeon Kwon

Control and Systems Engineering · 2019

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

Subfields

Whom Heeyeon Kwon trusts

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

  1. Dieter Fox (in Computer Vision and Pattern Recognition)

Papers from Heeyeon Kwon's perspective

Ordered by how strongly the researchers Heeyeon Kwon 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. Fully convolutional networks for semantic segmentation
  4. End-to-End Training of Deep Visuomotor Policies
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers