Dosik Hwang

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dosik Hwang trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Xiaoou Tang (in Computer Vision and Pattern Recognition)
  3. Kyoung Mu Lee (in Computer Vision and Pattern Recognition)
  4. Jung Kwon Lee (in Computer Vision and Pattern Recognition)
  5. Jiwon Kim (in Computer Vision and Pattern Recognition)
  6. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Dosik Hwang's perspective

Ordered by how strongly the researchers Dosik Hwang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Rethinking the Inception Architecture for Computer Vision
  7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. Deep Learning
  9. Image quality assessment: from error visibility to structural similarity
  10. Learning long-term dependencies with gradient descent is difficult

Their papers