Chun-Hao Paul Huang

Computer Vision and Pattern Recognition · 2014–2023

A researcher in the Science corpus: 4 papers; trusts 486 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chun-Hao Paul Huang trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Andrew Zisserman

Who trusts Chun-Hao Paul Huang overall

  1. Fei Han
  2. Michal Geyer
  3. Shuai Yang
  4. Yuliang Xiu
  5. Brian Reily
  6. Shubham Goel

Papers from Chun-Hao Paul Huang's perspective

Ordered by how strongly the researchers Chun-Hao Paul Huang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers