Adrian V. Dalca

Computer Vision and Pattern Recognition · 2009–2022

A researcher in the Science corpus: 9 papers; trusts 420 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Adrian V. Dalca trusts overall

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

  1. Diederik P. Kingma
  2. John Ashburner
  3. Bruce Fischl
  4. Olaf Ronneberger
  5. Guha Balakrishnan
  6. Jimmy Ba
  7. Karen Simonyan
  8. Geoffrey E. Hinton
  9. Brian B. Avants
  10. Alex Krizhevsky

Who trusts Adrian V. Dalca overall

  1. Tony C. W. Mok
  2. Amy Zhao
  3. Guha Balakrishnan
  4. Amirhossein Kazerouni
  5. Albert C. S. Chung
  6. Grant Haskins
  7. John V. Guttag
  8. P. Park
  9. Boah Kim
  10. Maithra Raghu

Papers from Adrian V. Dalca's perspective

Ordered by how strongly the researchers Adrian V. Dalca 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. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers