Timo von Marcard

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Timo von Marcard trusts overall

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

  1. Federica Bogo
  2. Michael J. Black
  3. Adam D. Bull
  4. Christoph Lassner
  5. Alin-Ionut Popa
  6. Leonid Sigal
  7. Cristian Sminchisescu
  8. Catalin Ionescu
  9. Angjoo Kanazawa
  10. Richard M. Murray

Who trusts Timo von Marcard overall

  1. Muhammed Kocabas
  2. Michael J. Black
  3. Kevin Qinghong Lin
  4. Wei Mao
  5. Georgios Pavlakos
  6. Hongsuk Choi
  7. Gerard Pons-Moll
  8. Carl Doersch
  9. Angjoo Kanazawa
  10. Thiemo Alldieck

Papers from Timo von Marcard's perspective

Ordered by how strongly the researchers Timo von Marcard 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers