Eric Karl Oermann

Computer Vision and Pattern Recognition · 2017–2026

A researcher in the Science corpus: 14 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eric Karl Oermann trusts

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

  1. Peter M. Rothwell (in Statistics and Probability)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Yann LeCun (in Computer Vision and Pattern Recognition)

Papers from Eric Karl Oermann's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Fully convolutional networks for semantic segmentation
  5. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  6. Understanding deep learning requires rethinking generalization
  7. TensorFlow: A system for large-scale machine learning
  8. Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books
  9. Scaling Laws for Neural Language Models (arXiv.org)
  10. ImageNet classification with deep convolutional neural networks

Their papers