Sean L. Metzger

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sean L. Metzger trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  5. Trevor Darrell (in Computer Vision and Pattern Recognition)
  6. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  7. Quoc V. Le (in Computer Vision and Pattern Recognition)
  8. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  9. X. Zhang (in Computer Vision and Pattern Recognition)
  10. Piotr Doll'ar (in Computer Vision and Pattern Recognition)

Papers from Sean L. Metzger's perspective

Ordered by how strongly the researchers Sean L. Metzger 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 Large Scale Visual Recognition Challenge
  3. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  4. Mask R-CNN
  5. Visualizing and Understanding Convolutional Networks
  6. Representation Learning with Contrastive Predictive Coding
  7. Unsupervised Visual Representation Learning by Context Prediction
  8. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  9. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  10. ImageNet classification with deep convolutional neural networks

Their papers