Markus Vincze

Computer Vision and Pattern Recognition · 2008–2019

A researcher in the Science corpus: 11 papers; trusts 310 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Vincze trusts overall

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

  1. Dekang Lin
  2. Kaiming He
  3. Radu Bogdan Rusu
  4. Federico Tombari
  5. David G. Lowe
  6. Diederik P. Kingma
  7. Chih-Jen Lin
  8. Geoffrey E. Hinton
  9. Ross B. Girshick
  10. Shaoqing Ren

Who trusts Markus Vincze overall

  1. Walter Wohlkinger
  2. Aitor Aldoma
  3. Giseop Kim
  4. Li He
  5. Dmytro Bobkov
  6. Marcus Gualtieri
  7. Federico Tombari
  8. Andreas ten Pas
  9. Jeffrey Mahler
  10. Yulan Guo

Papers from Markus Vincze's perspective

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

Their papers