Shahar Ziv Kovalsky

Computational Mechanics · 2012–2016

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shahar Ziv Kovalsky trusts overall

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

  1. Yurii E. Nesterov
  2. Boris Polyak
  3. Hang Si
  4. Jorge Nocedal
  5. Michael S. Floater
  6. Neal Parikh
  7. Olga Sorkine-Hornung
  8. Kaare Brandt Petersen
  9. Tao Ju
  10. David G. Lowe

Who trusts Shahar Ziv Kovalsky overall

  1. Kyle Wilson
  2. Onur Özyesil

Papers from Shahar Ziv Kovalsky's perspective

Ordered by how strongly the researchers Shahar Ziv Kovalsky trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Multiple View Geometry in Computer Vision
  8. ImageNet: A large-scale hierarchical image database
  9. Et al
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers