Yoav Shechtman Department of Electrical Engineering

2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Yoav Shechtman Department of Electrical Engineering trusts

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

  1. Andrew L. Maas (in Model Architectures)

Papers from Yoav Shechtman Department of Electrical Engineering's perspective

Ordered by how strongly the researchers Yoav Shechtman Department of Electrical Engineering trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Fully convolutional networks for semantic segmentation
  3. Rectifier Nonlinearities Improve Neural Network Acoustic Models
  4. Learning Deconvolution Network for Semantic Segmentation
  5. Fiji - an Open Source platform for biological image analysis
  6. Image Super-Resolution Using Deep Convolutional Networks
  7. Imaging Intracellular Fluorescent Proteins at Nanometer Resolution (Science)
  8. Content-aware image restoration: pushing the limits of fluorescence microscopy (Nature Methods)
  9. ImageJ2: ImageJ for the next generation of scientific image data (BMC Bioinformatics)
  10. Ultra-high resolution imaging by fluorescence photoactivation localization microscopy. (Biophysical Journal)

Their papers