John Wawrzynek

Computer Vision and Pattern Recognition · 2000–2021

A researcher in the Science corpus: 5 papers; trusts 72 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom John Wawrzynek trusts overall

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

  1. Kaiming He

Who trusts John Wawrzynek overall

  1. Katherine Compton

Papers from John Wawrzynek's perspective

Ordered by how strongly the researchers John Wawrzynek 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: A large-scale hierarchical image database
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Learning Multiple Layers of Features from Tiny Images
  5. ImageNet classification with deep convolutional neural networks
  6. Microsoft COCO: Common Objects in Context
  7. Densely Connected Convolutional Networks
  8. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  9. Identity Mappings in Deep Residual Networks
  10. Gradient-based learning applied to document recognition

Their papers