Paul F. Jaeger

Computer Vision and Pattern Recognition · 2018–2024

A researcher in the Science corpus: 7 papers; trusts 264 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Paul F. Jaeger trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Diederik P. Kingma
  4. Tsung-Yi Lin
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Christian Szegedy
  8. X. Zhang
  9. Shaoqing Ren
  10. Yoshua Bengio

Who trusts Paul F. Jaeger overall

  1. Jun Ma
  2. Junde Wu
  3. Ali Hatamizadeh
  4. Yichi Zhang
  5. Zhaohu Xing
  6. Md Mostafijur Rahman
  7. Fernando Pérez-García
  8. Abdelrahman M. Shaker
  9. Michael Yeung
  10. Feifei Li

Papers from Paul F. Jaeger's perspective

Ordered by how strongly the researchers Paul F. Jaeger trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers