Da Kuang

Computer Vision and Pattern Recognition · 2012–2016

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Da Kuang trusts overall

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

  1. George Karypis
  2. Ulrike von Luxburg
  3. Hyunsoo Kim
  4. Inderjit S. Dhillon
  5. Paul Tseng
  6. Andrea Vedaldi
  7. Chris H. Q. Ding
  8. Lihi Zelnik-Manor
  9. David G. Lowe
  10. Daniel Billsus

Who trusts Da Kuang overall

  1. Arild Nøkland
  2. Xiao Huang
  3. Leman Akoglu
  4. Jingu Kim
  5. Xiaotong Zhang
  6. Yang Wang
  7. Jundong Li
  8. Lars Hiller Eidnes
  9. Hanghang Tong
  10. Yunlong He

Papers from Da Kuang's perspective

Ordered by how strongly the researchers Da Kuang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers