Bernadette Bucher

Computer Vision and Pattern Recognition · with Batra · 2023

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bernadette Bucher trusts

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

  1. Jitendra Malik (in Computer Vision and Pattern Recognition)
  2. Dhruv Batra (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  7. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  8. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  9. Abhinav Kumar Gupta (in Computer Vision and Pattern Recognition)
  10. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Bernadette Bucher's perspective

Ordered by how strongly the researchers Bernadette Bucher 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. Microsoft COCO: Common Objects in Context
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Gradient-based learning applied to document recognition

Their papers