Fabio Pellacini

Computer Vision and Pattern Recognition · 2000–2008

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Fabio Pellacini trusts overall

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

  1. Revital Ironi
  2. Yingge Qu
  3. Charless C. Fowlkes
  4. Dani Lischinski

Who trusts Fabio Pellacini overall

  1. Roland W. Fleming
  2. Lavanya Sharan
  3. Junjie Bai
  4. Satoshi Iizuka
  5. Edward H. Adelson
  6. Ron O. Dror
  7. Kun Xu
  8. Richard Zhang
  9. Dongbo Min
  10. Ce Liu

Papers from Fabio Pellacini's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Colorization by example (Eurographics Symposium on Rendering)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers