Sateesh Pedagadi

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Sateesh Pedagadi trusts overall

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

  1. Douglas T. Gray
  2. R. Fisher
  3. Masashi Sugiyama
  4. Weishi Zheng
  5. Martin Hirzer
  6. Lihi Zelnik-Manor
  7. Xiaofei He
  8. Bingpeng Ma
  9. Davide Baltieri
  10. Hai Tao

Who trusts Sateesh Pedagadi overall

  1. Shengcai Liao
  2. Weishi Zheng
  3. Chi Su
  4. Liang Zheng
  5. Yang Yang
  6. Ancong Wu
  7. Rui Zhao
  8. Li Zhang
  9. Chunhua Shen
  10. Lin Wu

Papers from Sateesh Pedagadi's perspective

Ordered by how strongly the researchers Sateesh Pedagadi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Going deeper with convolutions
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers