Eric T. Chung

Computational Mechanics · 2005–2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Eric T. Chung trusts overall

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

  1. Martin Burger
  2. Luminita A. Vese
  3. Martin Brühl
  4. Antonello Tamburrino
  5. Oliver Dorn
  6. Tony F. Chan
  7. Stanley J. Osher
  8. Martin Hanke
  9. Guglielmo Rubinacci
  10. Eric Lawrence Miller

Who trusts Eric T. Chung overall

  1. Bangti Jin
  2. Michael Cardiff
  3. Xuecheng Tai
  4. Antoine Laurain
  5. Peter Maass
  6. Hongwei Li
  7. Peter K. Kitanidis
  8. Kevin Sturm

Papers from Eric T. Chung's perspective

Ordered by how strongly the researchers Eric T. Chung trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model (International Journal of Computer Vision)
  4. Levenberg–Marquardt level set methods for inverse obstacle problems
  5. A shape reconstruction method for electromagnetic tomography using adjoint fields and level sets
  6. Deep Sparse Rectifier Neural Networks
  7. Rectifier Nonlinearities Improve Neural Network Acoustic Models
  8. A level set method for inverse problems
  9. Approximation by superpositions of a sigmoidal function
  10. A new non-iterative inversion method for electrical resistance tomography

Their papers