Kanit Wongsuphasawat

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 5 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Kanit Wongsuphasawat trusts overall

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

  1. Jock D. Mackinlay
  2. Chris Stolte
  3. Jeffrey Heer
  4. Arvind Satyanarayan
  5. K. Smith‐Miles
  6. Peter Christen
  7. Yann LeCun
  8. P. Hanrahan
  9. Diane Tang
  10. Yoshua Bengio

Who trusts Kanit Wongsuphasawat overall

  1. Dominik Moritz
  2. Arvind Satyanarayan
  3. Giulia Vilone
  4. Xavier Favory
  5. Tongshuang Sherry Wu
  6. Yao Ming
  7. Tarique Siddiqui
  8. Fred Hohman
  9. Jianlong Zhou
  10. Jeffrey Heer

Papers from Kanit Wongsuphasawat's perspective

Ordered by how strongly the researchers Kanit Wongsuphasawat 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Going deeper with convolutions
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers