John Wang

IEEE/RJS International Conference on Intelligent RObots and Systems · with Olson · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Whom John Wang trusts overall

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

  1. Daniel Wagner
  2. Mark Fiala
  3. Edwin Olson
  4. Dieter Schmalstieg
  5. Danielle Mersch
  6. Bryan C. Russell
  7. Antonio Torralba
  8. Alessandro Crespi
  9. Kevin P. Murphy
  10. Laurent Keller

Who trusts John Wang overall

  1. Xingyu Liu
  2. Rico Jonschkowski
  3. Anelia Angelova

Papers from John Wang's perspective

Ordered by how strongly the researchers John Wang 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. LabelMe: A Database and Web-Based Tool for Image Annotation
  4. Gradient-based learning applied to document recognition
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Going deeper with convolutions
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers