Darren P. Cosker

Computer Vision and Pattern Recognition · 2009–2018

A researcher in the Science corpus: 4 papers; trusts 62 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Darren P. Cosker trusts overall

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

  1. Volker Blanz
  2. Thomas Vetter
  3. Li Zhang
  4. Derek Bradley
  5. Takeo Kanade
  6. Eva G. Krumhuber
  7. Brian Curless
  8. Noah Snavely
  9. Geoffrey E. Hinton
  10. Wolfgang Heidrich

Who trusts Darren P. Cosker overall

  1. James Booth
  2. Victoria Fernández Abrevaya
  3. Georgia Sandbach
  4. Stefanos P. Zafeiriou
  5. Tianye Li
  6. Anastasios Roussos
  7. Xing Zhang
  8. Haotian Yang
  9. Timo Bolkart
  10. Lijun Yin

Papers from Darren P. Cosker's perspective

Ordered by how strongly the researchers Darren P. Cosker 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. GENERATIVE ADVERSARIAL NETS
  5. ImageNet: A large-scale hierarchical image database
  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. Going deeper with convolutions
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers