Trevor Gale

Computer Vision and Pattern Recognition · with Dukhan · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Trevor Gale trusts

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

  1. Quoc V. Le (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Mingxing Tan (in Computer Vision and Pattern Recognition)
  4. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  5. Karen Simonyan (in Computer Vision and Pattern Recognition)
  6. Trevor Darrell (in Computer Vision and Pattern Recognition)
  7. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Trevor Gale's perspective

Ordered by how strongly the researchers Trevor Gale 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 Large Scale Visual Recognition Challenge
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Fully convolutional networks for semantic segmentation
  6. Densely Connected Convolutional Networks
  7. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  8. Neural Architecture Search with Reinforcement Learning
  9. Xception: Deep Learning with Depthwise Separable Convolutions
  10. Gradient-based learning applied to document recognition

Their papers