Ben Fei

Computer Vision and Pattern Recognition · with Dai · 2023

A researcher in the Science corpus: 2 papers; trusts 248 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Fei trusts overall

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

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

Who trusts Ben Fei overall

  1. X. Lin

Papers from Ben Fei's perspective

Ordered by how strongly the researchers Ben Fei 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  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