Xiaofeng Yang

Computer Vision and Pattern Recognition · with Curran · 2019

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 Xiaofeng Yang trusts

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

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

Papers from Xiaofeng Yang's perspective

Ordered by how strongly the researchers Xiaofeng Yang 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. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Densely Connected Convolutional Networks
  5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  6. ImageNet classification with deep convolutional neural networks
  7. FlowNet: Learning Optical Flow with Convolutional Networks
  8. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers