Adam Czajka

Computer Vision and Pattern Recognition · 2013–2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Adam Czajka trusts overall

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

  1. Donald M. Monro
  2. Tero Karras
  3. Soumyadip Rakshit
  4. Samuli Laine
  5. Dexin Zhang
  6. Neha Kak
  7. Timo Aila
  8. Ramprasaath R. Selvaraju
  9. Qiong Cao
  10. Geoffrey E. Hinton

Papers from Adam Czajka's perspective

Ordered by how strongly the researchers Adam Czajka 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. GENERATIVE ADVERSARIAL NETS
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Going deeper with convolutions
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers