Colby R. Banbury

Computer Vision and Pattern Recognition · 2020–2024

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Colby R. Banbury trusts overall

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

  1. Pete Warden
  2. Kaiming He
  3. Liangzhen Lai
  4. Tsung-Yi Lin
  5. Yundong Zhang
  6. Andrew G. Howard
  7. Naveen Suda
  8. Igor Fedorov
  9. X. Zhang
  10. Alex Krizhevsky

Who trusts Colby R. Banbury overall

  1. Ji Lin

Papers from Colby R. Banbury's perspective

Ordered by how strongly the researchers Colby R. Banbury 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. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Microsoft COCO: Common Objects in Context
  9. Learning Multiple Layers of Features from Tiny Images
  10. Et al

Their papers