Jakob J. Engel

Computer Vision and Pattern Recognition · 2012–2019

A researcher in the Science corpus: 9 papers; trusts 113 researchers and is trusted by 633 researchers here, as inferred from the citation graph.

Subfields

Whom Jakob J. Engel trusts overall

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

  1. Jürgen Sturm
  2. Georg S. W. Klein
  3. Daniel Cremers
  4. Andrew J. Davison
  5. Christian Kerl
  6. Christian Forster
  7. Matia Pizzoli
  8. Davide Scaramuzza
  9. Hauke Strasdat
  10. Richard A. Newcombe

Who trusts Jakob J. Engel overall

  1. Rui Wang
  2. Nan Yang
  3. Daniel Cremers
  4. Takafumi Taketomi
  5. Zachary Teed
  6. Tong Qin
  7. Joel Janai
  8. Christian Forster
  9. Michael Bloesch
  10. Shichao Yang

Papers from Jakob J. Engel's perspective

Ordered by how strongly the researchers Jakob J. Engel 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. Distinctive Image Features from Scale-Invariant Keypoints
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Microsoft COCO: Common Objects in Context
  9. Gradient-based learning applied to document recognition
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers