Tomasz Sapinski

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 96 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Tomasz Sapinski trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Deva Ramanan
  4. Shaoqing Ren
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Yann LeCun
  8. Jitendra Malik
  9. Yoshua Bengio
  10. Camillo Jose Taylor

Who trusts Tomasz Sapinski overall

  1. J. Harris

Papers from Tomasz Sapinski's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. ImageNet Large Scale Visual Recognition Challenge
  7. Going deeper with convolutions
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers