Martin Hirzer

Computer Vision and Pattern Recognition · 2011–2012

A researcher in the Science corpus: 3 papers; trusts 94 researchers and is trusted by 221 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Hirzer trusts overall

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

  1. Douglas T. Gray
  2. William Robson Schwartz
  3. Hai Tao
  4. Paul A. Viola
  5. Xiaogang Wang
  6. Weishi Zheng
  7. Olivier Chapelle
  8. Niloofar Gheissari
  9. Thomas B. Sebastian
  10. Larry S. Davis

Who trusts Martin Hirzer overall

  1. Liang Zheng
  2. Chi Su
  3. Shengcai Liao
  4. Dong Yi
  5. Shaogang Gong
  6. Mang Ye
  7. Tao A. Xiang
  8. Xiatian Zhu
  9. S. Li
  10. Li Zhang

Papers from Martin Hirzer's perspective

Ordered by how strongly the researchers Martin Hirzer trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Going deeper with convolutions

Their papers