Wei-Shinn Ku

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei-Shinn Ku trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  5. Peter Shirley (in Computer Vision and Pattern Recognition)
  6. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  7. X. Zhang (in Computer Vision and Pattern Recognition)
  8. Yann LeCun (in Computer Vision and Pattern Recognition)
  9. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  10. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Wei-Shinn Ku's perspective

Ordered by how strongly the researchers Wei-Shinn Ku 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. ImageNet Large Scale Visual Recognition Challenge
  4. Microsoft COCO: Common Objects in Context
  5. Rethinking the Inception Architecture for Computer Vision
  6. Intriguing properties of neural networks
  7. Gradient-based learning applied to document recognition
  8. Explaining and Harnessing Adversarial Examples
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers