Cody Seibert

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Cody Seibert trusts overall

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

  1. Pedro F. Felzenszwalb
  2. Victor S. Lempitsky
  3. James M. Ferryman

Who trusts Cody Seibert overall

  1. Vishwanath A. Sindagi
  2. Vishal M. Patel
  3. Qi Wang
  4. Daniel Oñoro-Rubio
  5. Xiaoheng Jiang

Papers from Cody Seibert's perspective

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

Their papers