Brian Dolhansky

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 5 papers; trusts 316 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Brian Dolhansky trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Christian Szegedy
  6. Tero Karras
  7. Yoshua Bengio
  8. François Chollet
  9. Yann LeCun
  10. Andrew Zisserman

Who trusts Brian Dolhansky overall

  1. Kaede Shiohara
  2. Håkon Hukkelås
  3. Thanh Thi Nguyen
  4. Jie Gui
  5. Toshihiko Yamasaki
  6. Tiziano Portenier
  7. Sohail Ahmed Khan
  8. Minhan Kim
  9. Rubén Tolosana
  10. Momina Masood

Papers from Brian Dolhansky's perspective

Ordered by how strongly the researchers Brian Dolhansky 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers