Haiyong Ding

Media Technology · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haiyong Ding trusts overall

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

  1. Lorenzo Bruzzone

Papers from Haiyong Ding's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
  5. ImageNet classification with deep convolutional neural networks
  6. Conditional Generative Adversarial Nets
  7. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  8. BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
  9. ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers