Tianye Li

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 5 papers; trusts 392 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Tianye Li trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Jimmy Ba
  6. Jitendra Malik
  7. Yoshua Bengio
  8. Volker Blanz
  9. Sergey Ioffe
  10. Yann LeCun

Who trusts Tianye Li overall

  1. Timo Bolkart
  2. Michael J. Black
  3. Justus Thies
  4. Soubhik Sanyal
  5. Anurag Ranjan
  6. Radek Daněček
  7. Victoria Fernández Abrevaya
  8. Jeremy Reizenstein
  9. Yang Hong
  10. Philipp Henzler

Papers from Tianye Li's perspective

Ordered by how strongly the researchers Tianye Li 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers