Robert Krajewski

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Robert Krajewski trusts overall

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

  1. Marius Cordts
  2. Olaf Ronneberger
  3. Shaoqing Ren
  4. Alexandre Robicquet
  5. Andreas Geiger
  6. Kaiming He

Who trusts Robert Krajewski overall

  1. Shangding Gu
  2. Julian Bock
  3. Wei Zhan
  4. Yali Du

Papers from Robert Krajewski's perspective

Ordered by how strongly the researchers Robert Krajewski 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. ImageNet Large Scale Visual Recognition Challenge
  4. Gradient-based learning applied to document recognition
  5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers