Marek Kowalski

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 113 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Marek Kowalski trusts overall

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

  1. Diederik P. Kingma
  2. Navneet Dalal
  3. Shaoqing Ren
  4. Xudong Cao
  5. Geoffrey E. Hinton
  6. Jimmy Ba
  7. Iain Matthews
  8. Xiangxin Zhu
  9. Alex Krizhevsky
  10. David Cristinacce

Who trusts Marek Kowalski overall

  1. Jordan Yaniv
  2. Yu Chen
  3. Kfir Aberman
  4. Jingdong Wang
  5. Yael Newman
  6. Christian Reiser
  7. Matthew Tancik
  8. Haithem Turki
  9. Cheng Sun
  10. Ying Tai

Papers from Marek Kowalski's perspective

Ordered by how strongly the researchers Marek Kowalski 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. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers