Joong-won Hwang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Joong-won Hwang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Tsung-Yi Lin
  4. Xiangyu Zhang
  5. Alex Krizhevsky
  6. Christian Szegedy
  7. Karen Simonyan
  8. Geoffrey E. Hinton
  9. Sergey Zagoruyko
  10. Piotr Doll'ar

Who trusts Joong-won Hwang overall

  1. Chien-Yao Wang
  2. Hongpeng Liao
  3. Youngwan Lee
  4. Alexey Bochkovskiy

Papers from Joong-won Hwang's perspective

Ordered by how strongly the researchers Joong-won Hwang 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. Going deeper with convolutions
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Microsoft COCO: Common Objects in Context

Their papers