Alex Evans

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Alex Evans trusts overall

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

  1. M. Kazhdan
  2. Alex Yu
  3. Diederik P. Kingma
  4. Matthew Tancik
  5. Geoffrey E. Hinton
  6. T. Muller
  7. Cheng Sun
  8. S. M. Seitz
  9. Yoshua Bengio
  10. Kaiming He

Who trusts Alex Evans overall

  1. Zehao Yu
  2. Jiaxiang Tang
  3. Antoine Guédon
  4. Anpei Chen
  5. Binbin Huang
  6. Andreas Geiger
  7. Jonathan T. Barron
  8. Zhiwen Fan
  9. Ang Cao
  10. Hengyi Wang

Papers from Alex Evans's perspective

Ordered by how strongly the researchers Alex Evans trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers