Hongyan Zhang

Computer Vision and Pattern Recognition · with Liu · 2020

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 Hongyan Zhang trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from Hongyan Zhang's perspective

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

  1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. Indoor Segmentation and Support Inference from RGBD Images
  4. R-FCN: Object Detection via Region-based Fully Convolutional Networks
  5. Fast Feature Pyramids for Object Detection
  6. MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
  7. Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network (IEEE Transactions on Instrumentation and Measurement)
  8. A Method of Insulator Detection from Video Sequence (2012 Fourth International Symposium on Information Science and Engineering)
  9. ImageNet classification with deep convolutional neural networks
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers