Thomas Mauthner

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 148 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Mauthner trusts overall

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

  1. Zdenek Kalal
  2. Ming-Hsuan Yang
  3. Arnold M. W. Smeulders
  4. Laura Sevilla-Lara
  5. Yi Wu
  6. Dorin Comaniciu
  7. Boris Babenko
  8. João F. Henriques
  9. Jongwoo Lim
  10. Kaihua Zhang

Who trusts Thomas Mauthner overall

  1. Martin Danelljan
  2. Luca Bertinetto
  3. Yibing Song
  4. Siyi Li
  5. Lianghua Huang
  6. Tianzhu Zhang
  7. Fahad Shahbaz Khan
  8. Dit-Yan Yeung
  9. Naiyan Wang
  10. Michael Felsberg

Papers from Thomas Mauthner's perspective

Ordered by how strongly the researchers Thomas Mauthner 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Object Detection with Discriminatively Trained Part Based Models
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers