Philipp Lottes

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 27 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Philipp Lottes trusts overall

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

  1. Kaiming He
  2. George E. Meyer
  3. Martin Rünz
  4. Vijay Badrinarayanan
  5. Adam Paszke
  6. Sebastian Haug
  7. Ross B. Girshick
  8. J. C. Neto
  9. Piotr Doll'ar
  10. Jürgen Sturm

Who trusts Philipp Lottes overall

  1. Muhammad Hammad Saleem
  2. Johan Potgieter
  3. Khalid Mahmood Arif

Papers from Philipp Lottes's perspective

Ordered by how strongly the researchers Philipp Lottes 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Going deeper with convolutions
  7. Mask R-CNN
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers