Haozhi Huang

Computer Vision and Pattern Recognition · with Cai · 2018

A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haozhi Huang trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He

Papers from Haozhi Huang's perspective

Ordered by how strongly the researchers Haozhi Huang 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. ImageNet classification with deep convolutional neural networks
  3. Microsoft COCO: Common Objects in Context
  4. Gradient-based learning applied to document recognition
  5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  6. Mask R-CNN
  7. Going deeper with convolutions
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers