Ke Wang

Computer Vision and Pattern Recognition · with Chou · 2018

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ke Wang trusts overall

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

  1. Christian Szegedy

Papers from Ke Wang's perspective

Ordered by how strongly the researchers Ke 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Rethinking the Inception Architecture for Computer Vision
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Backpropagation Applied to Handwritten Zip Code Recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Caffe: Convolutional Architecture for Fast Feature Embedding
  10. ImageNet: A large-scale hierarchical image database

Their papers