C. McCarthy

Computer Vision and Pattern Recognition · with Koirala · 2019

A researcher in the Science corpus: 1 paper; trusts 94 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom C. McCarthy trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Karen Simonyan
  4. Suchet Bargoti
  5. Matthew D. Zeiler
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Andrew Zisserman
  9. Joseph Redmon
  10. Jia Deng

Papers from C. McCarthy's perspective

Ordered by how strongly the researchers C. McCarthy 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 classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers