Markus Oberweger

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 358 researchers and is trusted by 213 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Oberweger trusts overall

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

  1. Yann LeCun
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Cem Keskin
  5. Jonathan Tompson
  6. Matthew D. Zeiler
  7. L. Eon Bottou
  8. J. Urgen Schmidhuber
  9. Danhang Tang
  10. Rob Fergus

Who trusts Markus Oberweger overall

  1. Christiane Zimmermann
  2. Liuhao Ge
  3. Qianru Ye
  4. Xingyi Zhou
  5. Gyeongsik Moon
  6. Thomas Brox
  7. Mahdi Rad
  8. Angjoo Kanazawa
  9. Michael J. Black
  10. Diane Bouchacourt

Papers from Markus Oberweger's perspective

Ordered by how strongly the researchers Markus Oberweger 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers