Jia-geng Feng

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jia-geng Feng trusts overall

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

  1. Bin Cheng
  2. Sam T. Roweis
  3. Daniel D. Lee
  4. Cen Rao
  5. Tanveer Fathima Syeda-Mahmood
  6. Jun Yang
  7. Imran N. Junejo
  8. Jianchao Yang
  9. David L. Donoho
  10. Aaron F. Bobick

Who trusts Jia-geng Feng overall

  1. Pengfei Zhang

Papers from Jia-geng Feng's perspective

Ordered by how strongly the researchers Jia-geng Feng trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. Attention is All you Need (Neural Information Processing Systems)
  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