I. Sipiran

Computer Vision and Pattern Recognition · 2011–2014

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom I. Sipiran trusts overall

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

  1. Matthijs C. Dorst
  2. Cordelia Schmid
  3. Krystian Mikolajczyk
  4. Michael Garland
  5. Ivan Laptev
  6. David Cohen-Steiner
  7. M. Kazhdan
  8. Natasha Gelfand
  9. David G. Lowe
  10. Niloy J. Mitra

Who trusts I. Sipiran overall

  1. Yulan Guo
  2. Angela Dai
  3. Mohammed Bennamoun
  4. Bo Yang
  5. Wentao Yuan
  6. Ferdous Sohel
  7. Min Lu
  8. Tejas Khot
  9. Stefano Rosa
  10. Jianwei Wan

Papers from I. Sipiran's perspective

Ordered by how strongly the researchers I. Sipiran 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. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  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