Pengyang Hou

Computer Vision and Pattern Recognition · 2020

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

Subfields

Whom Pengyang Hou trusts overall

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

  1. Alex Krizhevsky

Papers from Pengyang Hou's perspective

Ordered by how strongly the researchers Pengyang Hou 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. Going deeper with convolutions
  3. Learning Multiple Layers of Features from Tiny Images
  4. ImageNet: A large-scale hierarchical image database
  5. Rethinking the Inception Architecture for Computer Vision
  6. TensorFlow: A system for large-scale machine learning
  7. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  8. ImageNet classification with deep convolutional neural networks
  9. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers