Karsten Roth

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 5 papers; trusts 235 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Karsten Roth trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Yann LeCun
  7. Christian Szegedy
  8. Sergey Ioffe
  9. Jia Deng
  10. Ross B. Girshick

Who trusts Karsten Roth overall

  1. Kilian Batzner
  2. Timo Milbich
  3. Zhikang Liu
  4. Yang Zou
  5. Zhaopeng Gu
  6. Xuan Zhang
  7. Jiawei Yu1
  8. Yujun Shi
  9. Tran Dinh Tien
  10. Fei Zhu

Papers from Karsten Roth's perspective

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

Their papers