Dylan Campbell

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 6 papers; trusts 785 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Dylan Campbell trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Ross B. Girshick
  8. Yann LeCun
  9. Jia Deng
  10. Andrew Zisserman

Who trusts Dylan Campbell overall

  1. Yue Wang
  2. Haofei Xu
  3. Xiaoshui Huang
  4. Ali Cheraghian
  5. Ho Kei Cheng
  6. Kunchang Li
  7. Justin M. Solomon

Papers from Dylan Campbell's perspective

Ordered by how strongly the researchers Dylan Campbell 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. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers