Monica S. Castelhano

Computer Vision and Pattern Recognition · 2003–2011

A researcher in the Science corpus: 5 papers; trusts 65 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Whom Monica S. Castelhano trusts overall

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

  1. Antonio Torralba
  2. Aude Oliva
  3. J. Henderson
  4. Marvin M. Chun
  5. Russell A. Epstein
  6. Li Fei-Fei
  7. D. Navon
  8. tephen E. Palmer
  9. Irving Biederman
  10. Moshe Bar

Who trusts Monica S. Castelhano overall

  1. J. Henderson
  2. A. Hollingworth
  3. Miguel P. Eckstein
  4. Tilke Judd
  5. B. Tatler
  6. Antonio Torralba
  7. Simone Frintrop
  8. Zhixiang Ren
  9. Lingyun Zhang
  10. Hae Jong Seo

Papers from Monica S. Castelhano's perspective

Ordered by how strongly the researchers Monica S. Castelhano 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers