Yannis Panagakis

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 61 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yannis Panagakis trusts overall

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

  1. Alex Krizhevsky
  2. Tamara G. Kolda
  3. Christian Szegedy
  4. Amnon Shashua
  5. Diederik P. Kingma
  6. Donald Goldfarb
  7. Geoffrey E. Hinton
  8. Karen Simonyan
  9. Kaiming He
  10. Yann LeCun

Who trusts Yannis Panagakis overall

  1. Jean Kossaifi
  2. Jean-Baptiste Cordonnier
  3. Jaemin Yoo

Papers from Yannis Panagakis's perspective

Ordered by how strongly the researchers Yannis Panagakis 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers