Stephen J. DiVerdi

Computer Vision and Pattern Recognition · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen J. DiVerdi trusts overall

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

  1. Oliver Matias van Kaick

Who trusts Stephen J. DiVerdi overall

  1. Leonidas J. Guibas
  2. Vladimir G. Kim
  3. Siddhartha Chaudhuri
  4. Niloy J. Mitra

Papers from Stephen J. DiVerdi's perspective

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

  1. Object Detection with Discriminatively Trained Part Based Models
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Object class recognition by unsupervised scale-invariant learning
  6. Unsupervised Learning of Models for Recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers