Hui Ding

Computer Vision and Pattern Recognition · with Chellappa · 2016

A researcher in the Science corpus: 1 paper; trusts 147 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Hui Ding trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. Sergey Ioffe
  5. Christian Szegedy
  6. Ilya Sutskever
  7. Yann LeCun
  8. Ross B. Girshick
  9. Andrew Zisserman
  10. Kaiming He

Who trusts Hui Ding overall

  1. Shan Li
  2. Huiyuan Yang
  3. Kai-Hong Wang
  4. Weihong Deng
  5. Umur Aybars Ciftci
  6. Xiaojiang Peng

Papers from Hui Ding's perspective

Ordered by how strongly the researchers Hui 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers