Ran Su

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ran Su trusts

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

  1. Thomas Brox (in Computer Vision and Pattern Recognition)
  2. Olaf Ronneberger (in Computer Vision and Pattern Recognition)
  3. Philipp Fischer (in Computer Vision and Pattern Recognition)
  4. Diederik P. Kingma (in Artificial Intelligence)
  5. William T. Freeman (in Computer Vision and Pattern Recognition)
  6. Jimmy Ba (in Artificial Intelligence)

Papers from Ran Su's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Fully convolutional networks for semantic segmentation
  5. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  9. Gradient-based learning applied to document recognition
  10. Going deeper with convolutions

Their papers