Ben Usman

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 180 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Usman trusts overall

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

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

Who trusts Ben Usman overall

  1. Kuniaki Saito
  2. Yogesh Kumar Balaji
  3. Xingchao Peng
  4. Dequan Wang
  5. Dapeng Hu
  6. Jogendra Nath Kundu
  7. Jian Liang
  8. Yoshitaka Ushiku
  9. Guoliang Kang
  10. Marvin Zhang

Papers from Ben Usman's perspective

Ordered by how strongly the researchers Ben Usman 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  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