Hongzhi Li

Computer Vision and Pattern Recognition · with Zhang · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongzhi Li trusts overall

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

  1. Ross B. Girshick
  2. Karen Simonyan
  3. Andrew Zisserman

Papers from Hongzhi Li's perspective

Ordered by how strongly the researchers Hongzhi Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet: A large-scale hierarchical image database
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Their papers