Long Quan

Computer Vision and Pattern Recognition · 2005–2022

A researcher in the Science corpus: 11 papers; trusts 570 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Long Quan trusts overall

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

  1. David G. Lowe
  2. Stanley J. Osher
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Yann LeCun
  6. Kaiming He
  7. Alex Krizhevsky
  8. Ross T. Whitaker
  9. Andrew Zisserman
  10. Yoshua Bengio

Who trusts Long Quan overall

  1. Yasutaka Furukawa
  2. Yao Yao
  3. Jean Ponce
  4. Martin Habbecke
  5. Xiaodong Gu
  6. Zixin Luo
  7. Mark W. Smith
  8. Raanan Fattal
  9. Leif Kobbelt
  10. Zhiwen Fan

Papers from Long Quan's perspective

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

Their papers