Stuart James

Computer Vision and Pattern Recognition · 2010–2020

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stuart James trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Radford M. Neal (in Computer Vision and Pattern Recognition)
  3. François Chollet (in Computer Vision and Pattern Recognition)
  4. Karen Simonyan (in Computer Vision and Pattern Recognition)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Kaiming He (in Computer Vision and Pattern Recognition)
  7. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  8. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  9. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  10. Jitendra Malik (in Computer Vision and Pattern Recognition)

Papers from Stuart James's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Microsoft COCO: Common Objects in Context
  4. Rethinking the Inception Architecture for Computer Vision
  5. Aggregated Residual Transformations for Deep Neural Networks
  6. Pattern Recognition and Machine Learning
  7. ImageNet classification with deep convolutional neural networks
  8. Xception: Deep Learning with Depthwise Separable Convolutions
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions

Their papers