Liangliang Nan

Computer Vision and Pattern Recognition · 2012–2021

A researcher in the Science corpus: 4 papers; trusts 329 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Liangliang Nan trusts overall

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

  1. Yuri Boykov
  2. David G. Lowe
  3. Ross B. Girshick
  4. Daniel Munoz
  5. Kaiming He
  6. Jamie Shotton
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Aleksey Golovinskiy
  10. Yann LeCun

Who trusts Liangliang Nan overall

  1. Charles Ruizhongtai Qi
  2. P. Hanrahan
  3. Angela Dai
  4. Vladimir G. Kim
  5. Hao Wang
  6. Bo Yang
  7. Minhyuk Sung
  8. Leonidas J. Guibas
  9. Or Litany
  10. Chaozheng Wu

Papers from Liangliang Nan's perspective

Ordered by how strongly the researchers Liangliang Nan 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. Long Short-Term Memory
  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