Fan Jia

Computer Vision and Pattern Recognition · with Liu · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fan Jia trusts overall

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

  1. Kaiming He
  2. Jia Deng
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. X. Zhang
  6. Ilya Loshchilov
  7. Ross B. Girshick
  8. Haim Levkowitz
  9. Karen Simonyan
  10. Yoshua Bengio

Papers from Fan Jia's perspective

Ordered by how strongly the researchers Fan Jia 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. ImageNet: A large-scale hierarchical image database
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  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