Connelly Barnes

Computer Vision and Pattern Recognition · 2009–2019

A researcher in the Science corpus: 8 papers; trusts 366 researchers and is trusted by 1,701 researchers here, as inferred from the citation graph.

Subfields

Whom Connelly Barnes trusts overall

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

  1. David G. Lowe
  2. William T. Freeman
  3. Alexei A. Efros
  4. Eli Shechtman
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Kaiming He
  8. Michael Ashikhmin
  9. Diederik P. Kingma
  10. Andrew Zisserman

Who trusts Connelly Barnes overall

  1. Jia-Bin Huang
  2. Kaiming He
  3. Eli Shechtman
  4. Tinghui Zhou
  5. Yanhong Zeng
  6. Alexei A. Efros
  7. Wanli Ouyang
  8. Jun-Yan Zhu
  9. Luc Van Gool
  10. Jing Liao

Papers from Connelly Barnes's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers