Kenneth Chaney

Electrical and Electronic Engineering · 2018

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Kenneth Chaney trusts overall

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

  1. Simon Meister
  2. Jason J. Yu
  3. Patrick Bardow
  4. Ryad Benosman

Who trusts Kenneth Chaney overall

  1. Henri Rebecq
  2. Daniel Gehrig
  3. Guillermo Gallego

Papers from Kenneth Chaney's perspective

Ordered by how strongly the researchers Kenneth Chaney 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. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. An Iterative Image Registration Technique with an Application to Stereo Vision
  9. Unsupervised Learning of Depth and Ego-Motion from Video
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers