R. Clark

Computer Vision and Pattern Recognition · IEEE International Conference on Robotics and Automation · 2017–2020

A researcher in the Science corpus: 8 papers; trusts 568 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom R. Clark trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Andreas Geiger
  9. Ilya Sutskever
  10. Karen Simonyan

Who trusts R. Clark overall

  1. João F. Henriques
  2. Devendra Singh Chaplot
  3. Andrew J. Davison
  4. Emilio Parisotto
  5. Ruihao Li
  6. Sudeep Pillai
  7. Andrea Vedaldi
  8. Nan Yang
  9. Zachary Teed
  10. Youqi Pan

Papers from R. Clark's perspective

Ordered by how strongly the researchers R. Clark 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers