Matthew Brand

Computer Vision and Pattern Recognition · 1997–2010

A researcher in the Science corpus: 7 papers; trusts 60 researchers and is trusted by 106 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Brand trusts overall

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

  1. Gene H. Golub
  2. Sam T. Roweis
  3. Josh Tenenbaum
  4. Lawrence R. Rabiner
  5. Olga G. Troyanskaya
  6. Lawrence K. Saul
  7. Michael E. Tipping
  8. Jana Kosecka
  9. Lieven De Lathauwer
  10. Geoffrey E. Hinton

Who trusts Matthew Brand overall

  1. Yoshua Bengio
  2. Laura Balzano
  3. Xiaogang Wang
  4. Lior Wolf
  5. Jieping Ye
  6. Sergey Levine
  7. Kilian Q. Weinberger
  8. Aaron C. Courville
  9. Dacheng Tao
  10. L. V. D. van der Maaten

Papers from Matthew Brand's perspective

Ordered by how strongly the researchers Matthew Brand 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers