Tian Lan

Computer Vision and Pattern Recognition · with Mori · 2010–2020

A researcher in the Science corpus: 8 papers; trusts 741 researchers and is trusted by 733 researchers here, as inferred from the citation graph.

Subfields

Whom Tian Lan trusts overall

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

  1. Pedro F. Felzenszwalb
  2. David G. Lowe
  3. Ivan Laptev
  4. Thorsten Joachims
  5. Geoffrey E. Hinton
  6. Li Fei-Fei
  7. Kaiming He
  8. Navneet Dalal
  9. Alex Krizhevsky
  10. Diederik P. Kingma

Who trusts Tian Lan overall

  1. Yu Kong
  2. Philippe Weinzaepfel
  3. Limin Wang
  4. Michalis Vrigkas
  5. Antoine Miech
  6. Qiuhong Ke
  7. Mateusz Malinowski
  8. Abhinav Kumar Gupta
  9. Cordelia Schmid
  10. Yun Raymond Fu

Papers from Tian Lan's perspective

Ordered by how strongly the researchers Tian Lan 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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