Liang Pan

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 5 papers; trusts 239 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Pan trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Prafulla Dhariwal
  4. Alex Krizhevsky
  5. Kaiming He
  6. Alex Nichol
  7. Yoshua Bengio
  8. Yann LeCun
  9. Ilya Sutskever
  10. Ross B. Girshick

Papers from Liang Pan's perspective

Ordered by how strongly the researchers Liang Pan 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. GENERATIVE ADVERSARIAL NETS
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers