Abner Guzmán-Rivera

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 2 papers; trusts 73 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Abner Guzmán-Rivera trusts overall

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

  1. Vladimir Kolmogorov
  2. Yuri Boykov
  3. Dhruv Batra
  4. Thorsten Joachims
  5. Carsten Rother
  6. Ioannis Tsochantaridis
  7. John D. Lafferty
  8. B. Taskar
  9. Geoffrey E. Hinton
  10. Debadeepta Dey

Who trusts Abner Guzmán-Rivera overall

  1. Stefan Lee
  2. Zhuwen Li
  3. Mingkuan Yuan
  4. Ye Yuan
  5. Kimin Lee
  6. Han-Jia Ye
  7. Ke Li
  8. Angela Yao
  9. J. Liew
  10. Minsoo Kang

Papers from Abner Guzmán-Rivera's perspective

Ordered by how strongly the researchers Abner Guzmán-Rivera 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers