Nicholas Konz

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nicholas Konz trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Nicholas Konz's perspective

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

  1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  2. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers