Lun Huang

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 271 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Lun Huang trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Yann LeCun
  8. Oriol Vinyals
  9. Shaoqing Ren
  10. Jimmy Ba

Who trusts Lun Huang overall

  1. Marcella Cornia
  2. Ali Furkan Biten
  3. Dora Zhao
  4. Maitreya Suin
  5. Jaemin Cho
  6. Ziyang Luo
  7. Riccardo Del Chiaro
  8. Oleksii Sidorov
  9. Lorenzo Baraldi
  10. Danna Gurari

Papers from Lun Huang's perspective

Ordered by how strongly the researchers Lun Huang 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  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