Paul Doliotis

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Doliotis trusts overall

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

  1. Chih-Jen Lin
  2. Bingbing Ni
  3. Dimitri P. Bertsekas
  4. G. Wang
  5. Lise Getoor
  6. John D. Lafferty

Who trusts Paul Doliotis overall

  1. Xinbo Jiang
  2. Amir Shahroudy

Papers from Paul Doliotis's perspective

Ordered by how strongly the researchers Paul Doliotis trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  4. LIBSVM: A library for support vector machines
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers