David Pardo

Computer Vision and Pattern Recognition · 2008–2015

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom David Pardo trusts overall

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

  1. Yoav Y. Schechner
  2. Mohinder Malhotra
  3. Seiichi Serikawa
  4. Kaiming He
  5. Jean-Philippe Tarel
  6. Nir Karpel
  7. Raimondo Schettini
  8. John Yi-Wu Chiang
  9. Anat Levin
  10. Nicholas Carlevaris-Bianco

Who trusts David Pardo overall

  1. Yan-Tsung Peng
  2. Chongyi Li
  3. Peixian Zhuang
  4. Lintao Peng
  5. Runmin Cong
  6. Ye-cai Guo
  7. Wei Song
  8. Pamela C. Cosman
  9. Dana Berman
  10. Albert Y. Kim

Papers from David Pardo's perspective

Ordered by how strongly the researchers David Pardo 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. Going deeper with convolutions
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Guided Image Filtering
  9. A Closed-Form Solution to Natural Image Matting (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers