Yiwen Hu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yiwen Hu trusts overall

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

  1. Jorge Bernal
  2. Debesh Jha
  3. Evan Shelhamer
  4. F. Sánchez
  5. Olaf Ronneberger
  6. Zhe Wu
  7. Zhengxin Zhang

Papers from Yiwen Hu's perspective

Ordered by how strongly the researchers Yiwen Hu 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Going deeper with convolutions
  10. ImageNet: A large-scale hierarchical image database

Their papers