Xiaowei Ding

Computer Vision and Pattern Recognition · with Chiang · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaowei Ding trusts

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

  1. Yarin Gal (in Artificial Intelligence)
  2. Jitendra Malik (in Computer Vision and Pattern Recognition)
  3. Yuri Boykov (in Computer Vision and Pattern Recognition)
  4. Raquel Urtasun (in Computer Vision and Pattern Recognition)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Kaiming He (in Computer Vision and Pattern Recognition)
  7. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  8. Antonio Torralba (in Computer Vision and Pattern Recognition)
  9. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  10. Serge J. Belongie (in Computer Vision and Pattern Recognition)

Papers from Xiaowei Ding's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers