Brian Taba

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Brian Taba trusts overall

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

  1. Henri Rebecq
  2. Sergey Ioffe
  3. Andrea Vedaldi
  4. Christoph Posch
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Christian Szegedy

Who trusts Brian Taba overall

  1. Wei Fang
  2. Sumit Bam Shrestha
  3. Michael Pfeiffer
  4. Man Yao

Papers from Brian Taba's perspective

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

Their papers