M. Matten

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 473 researchers here, as inferred from the citation graph.

Subfields

Whom M. Matten trusts overall

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

  1. Yansong Feng
  2. Girish Kulkarni
  3. Margaret Mitchell
  4. Ehud Reiter
  5. Vicente Ordonez
  6. Richard Socher
  7. Mirella Lapata
  8. Alex Krizhevsky
  9. Jia Deng
  10. Geoffrey E. Hinton

Who trusts M. Matten overall

  1. Jiasen Lu
  2. Licheng Yu
  3. Zhengyuan Yang
  4. Ronghang Hu
  5. Marcus Rohrbach
  6. Henghui Ding
  7. Gen Luo
  8. Yiyi Zhou
  9. Trevor Darrell
  10. Jinze Bai

Papers from M. Matten's perspective

Ordered by how strongly the researchers M. Matten 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. ImageNet: A large-scale hierarchical image database
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  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