Jerry Quispe

Computer Vision and Pattern Recognition · 2005

A researcher in the Science corpus: 1 paper; trusts 242 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jerry Quispe trusts overall

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

  1. David Nistér
  2. David G. Lowe
  3. Clive W. J. Granger
  4. Ondřej Chum
  5. Jiri Matas
  6. Yonghong Chen
  7. Mingzhou Ding
  8. Aude Oliva
  9. Yasutaka Furukawa
  10. Henrik Stewénius

Papers from Jerry Quispe's perspective

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

Their papers