Chao Chen

Computer Vision and Pattern Recognition · with Hu · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chao Chen trusts overall

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

  1. Geoffrey E. Hinton
  2. Herbert Edelsbrunner

Papers from Chao Chen's perspective

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

  1. Fully convolutional networks for semantic segmentation
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. Mask R-CNN
  4. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. Learning Deconvolution Network for Semantic Segmentation
  9. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
  10. Rethinking Atrous Convolution for Semantic Image Segmentation

Their papers