Joseph Roth

Computer Vision and Pattern Recognition · with Liu · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Roth trusts overall

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

  1. Volker Blanz
  2. Robert J. Woodham
  3. Thomas Vetter
  4. Ronen Basri
  5. Junjie Yan
  6. Carlos Hernández Esteban
  7. Lijun Yin
  8. Zhen Lei
  9. Pascal Paysan
  10. Xiangyu Zhu

Who trusts Joseph Roth overall

  1. Anh Tuan Tran
  2. Ayush Kumar Tewari
  3. Hyeongwoo Kim
  4. Elad Richardson
  5. Michael Zollhöfer
  6. Yao Feng
  7. Tal Hassner
  8. Aaron S. Jackson
  9. Xi Yin
  10. Yu Deng

Papers from Joseph Roth's perspective

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

Their papers