Hsiang-Tsung Kung

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Hsiang-Tsung Kung trusts overall

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

  1. Kaiming He
  2. Andrew Lavin
  3. Scott Gray
  4. Ashish Vaswani
  5. Alex Krizhevsky
  6. X. Zhang
  7. Jonathan Ragan-Kelley

Who trusts Hsiang-Tsung Kung overall

  1. Tri Dao
  2. Songlin Yang
  3. Ji Lin
  4. Amirkeivan Mohtashami
  5. Zi-Mei Yao
  6. Bailin Wang
  7. Jiaming Tang
  8. Mitchell Wortsman

Papers from Hsiang-Tsung Kung's perspective

Ordered by how strongly the researchers Hsiang-Tsung Kung 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers