Brian Clipp

Computer Vision and Pattern Recognition · 2007–2022

A researcher in the Science corpus: 3 papers; trusts 59 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Brian Clipp trusts overall

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

  1. David Nistér
  2. Kaiming He
  3. David G. Lowe

Who trusts Brian Clipp overall

  1. Yasutaka Furukawa

Papers from Brian Clipp's perspective

Ordered by how strongly the researchers Brian Clipp trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers