Huaying Hao

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huaying Hao trusts overall

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

  1. Kaiming He

Papers from Huaying Hao's perspective

Ordered by how strongly the researchers Huaying Hao 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. Fully convolutional networks for semantic segmentation
  4. Gradient-based learning applied to document recognition
  5. Densely Connected Convolutional Networks
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers