Martin Schwörer

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Schwörer trusts overall

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

  1. Jakob J. Engel
  2. Raul Mur-Artal
  3. Andrew J. Davison
  4. Daniel Cremers
  5. Christian Kerl
  6. Jürgen Sturm
  7. Georg S. W. Klein
  8. David Nistér
  9. Richard A. Newcombe
  10. José M. M. Montiel

Who trusts Martin Schwörer overall

  1. Nan Yang
  2. Jiawei Mo
  3. César Debeunne
  4. Andrea Pilzer
  5. Jamie Watson
  6. Rui Wang
  7. Carlos Campos

Papers from Martin Schwörer's perspective

Ordered by how strongly the researchers Martin Schwörer 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. ImageNet Large Scale Visual Recognition Challenge
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Microsoft COCO: Common Objects in Context
  10. Gradient-based learning applied to document recognition

Their papers