Rânik Guidolini

Computer Vision and Pattern Recognition · 2019

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

Subfields

Whom Rânik Guidolini trusts overall

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

  1. Sebastian Thrun
  2. Jesse Levinson
  3. Volodymyr Mnih
  4. Geoffrey E. Hinton
  5. Daniel Delling
  6. Michael Milford

Papers from Rânik Guidolini's perspective

Ordered by how strongly the researchers Rânik Guidolini 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. Histograms of oriented gradients for human detection
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. SSD: Single Shot MultiBox Detector
  8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers