Guohua Cao

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guohua Cao trusts

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

  1. Robert Hecht-Nielsen (in Model Architectures)
  2. Ge Wang (in Radiology, Nuclear Medicine and Imaging)
  3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  4. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  5. Diederik P. Kingma (in Artificial Intelligence)
  6. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  7. Jimmy Ba (in Artificial Intelligence)
  8. Christian Szegedy (in Artificial Intelligence)
  9. Sergey Ioffe (in Artificial Intelligence)
  10. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Guohua Cao's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Densely Connected Convolutional Networks
  5. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  6. Identity Mappings in Deep Residual Networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Deep Learning
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers