Robert J. Gaizauskas

Computer Vision and Pattern Recognition · 1997–2016

A researcher in the Science corpus: 7 papers; trusts 129 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Robert J. Gaizauskas trusts overall

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

  1. Chin-Yew Lin
  2. Razvan C. Bunescu
  3. Aron Culotta
  4. Ross B. Girshick
  5. Alex Krizhevsky
  6. Kaiming He
  7. Geoffrey E. Hinton
  8. Eduard H. Hovy
  9. Ilya Sutskever
  10. Karen Simonyan

Who trusts Robert J. Gaizauskas overall

  1. Girish Kulkarni
  2. Jochen L. Leidner
  3. Licheng Yu
  4. Oriol Vinyals
  5. Qi Wu
  6. Qiang Ning
  7. Siming Li
  8. Tamara L. Berg
  9. Alexander C. Berg
  10. Md. Zakir Hossain

Papers from Robert J. Gaizauskas's perspective

Ordered by how strongly the researchers Robert J. Gaizauskas 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers