Benfeng Wang

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Benfeng Wang trusts overall

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

  1. Mostafa Naghizadeh
  2. Jianjun Gao
  3. Mauricio D. Sacchi
  4. Felix J. Herrmann
  5. E.J. Candes
  6. Pengliang Yang
  7. Gilles Hennenfent
  8. Xiaohong Chen
  9. Thomas Blumensath
  10. David L. Donoho

Who trusts Benfeng Wang overall

  1. Siwei Yu
  2. Jianwei Ma

Papers from Benfeng Wang's perspective

Ordered by how strongly the researchers Benfeng Wang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers