Jim Rodgers

Computer Vision and Pattern Recognition · 2005–2008

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 247 researchers here, as inferred from the citation graph.

Subfields

Whom Jim Rodgers trusts overall

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

  1. Pedro F. Felzenszwalb
  2. Antonio Torralba
  3. John M. Winn
  4. Xiaofeng Ren
  5. Jamie Shotton
  6. Yuri Boykov
  7. Jitendra Malik
  8. John D. Lafferty
  9. Xuming He
  10. Geoffrey E. Hinton

Who trusts Jim Rodgers overall

  1. Radhakrishna Achanta
  2. Michael J. Black
  3. Radim Tylecek
  4. Aurélien Lucchi
  5. David Stutz
  6. Stephen Gould
  7. Daniel Munoz
  8. Arjun Jain
  9. Hossein Rahmani
  10. Clément Farabet

Papers from Jim Rodgers's perspective

Ordered by how strongly the researchers Jim Rodgers 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers