Na Tong

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 103 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Na Tong trusts overall

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

  1. Yuri Boykov
  2. Radhakrishna Achanta
  3. Ming-Ming Cheng
  4. Xiaodi Hou
  5. Christof Koch
  6. Kaiming He
  7. Laurent Itti
  8. Yichen Wei
  9. Wangjiang Zhu
  10. Francis R. Bach

Who trusts Na Tong overall

  1. Tiantian Wang
  2. Pingping Zhang
  3. Huchuan Lu
  4. Ping Hu
  5. Mengnan Du
  6. Xiaoning Zhang
  7. Dong Wang
  8. Khushboo Munir
  9. Zhiming Luo
  10. Xi Li

Papers from Na Tong's perspective

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

Their papers