Simon Stepputtis

Computer Vision and Pattern Recognition · 2020

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

Subfields

Whom Simon Stepputtis trusts overall

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

  1. Shaoqing Ren
  2. Jeffrey Pennington
  3. Kaiming He
  4. Jacob Devlin
  5. Peter Anderson
  6. Stephen James
  7. Geoffrey E. Hinton
  8. Richard Socher
  9. Ross B. Girshick
  10. Stefan Schaal

Who trusts Simon Stepputtis overall

  1. Corey Lynch
  2. Suraj Nair
  3. Swaroop Mishra
  4. Pierre Sermanet
  5. Homer Rich Walke

Papers from Simon Stepputtis's perspective

Ordered by how strongly the researchers Simon Stepputtis 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers