Kevin D. Tang

Computer Vision and Pattern Recognition · with Fei-Fei · 2012–2015

A researcher in the Science corpus: 5 papers; trusts 838 researchers and is trusted by 1,134 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin D. Tang trusts overall

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

  1. David G. Lowe
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ivan Laptev
  5. Kaiming He
  6. Andrew Zisserman
  7. Li Fei-Fei
  8. Cordelia Schmid
  9. Yoshua Bengio
  10. Ilya Sutskever

Who trusts Kevin D. Tang overall

  1. Limin Wang
  2. Yu Kong
  3. Lu Jiang
  4. Piotr Bojanowski
  5. Xiaodan Liang
  6. Armand Joulin
  7. Chen Sun
  8. X. Wang
  9. Deyu Meng
  10. Ivan Laptev

Papers from Kevin D. Tang's perspective

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

Their papers