Timothy Bretl

Computer Vision and Pattern Recognition · 2013–2019

A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Timothy Bretl trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Dieter Fox (in Computer Vision and Pattern Recognition)
  3. David G. Lowe (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  7. Sergey Levine (in Computer Vision and Pattern Recognition)
  8. Tanner Schmidt (in Computer Vision and Pattern Recognition)
  9. Jitendra Malik (in Computer Vision and Pattern Recognition)
  10. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Timothy Bretl's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  5. Unsupervised Visual Representation Learning by Context Prediction
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Object recognition from local scale-invariant features
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers