Heungseok Park

Computer Vision and Pattern Recognition · 2018

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

Subfields

Whom Heungseok Park trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Who trusts Heungseok Park

  1. Jung-Woo Ha (in Artificial Intelligence)

Papers from Heungseok Park's perspective

Ordered by how strongly the researchers Heungseok Park 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. Learning Multiple Layers of Features from Tiny Images
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Automatic differentiation in PyTorch
  6. TensorFlow: A system for large-scale machine learning
  7. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  8. Random Erasing Data Augmentation
  9. Population Based Training of Neural Networks
  10. The ACL Anthology Network Corpus as a Resource for NLP-based Bibliometrics

Their papers