Chen Huang

Computer Vision and Pattern Recognition · with Burgard · 2022

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chen Huang trusts overall

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

  1. Andy Zeng
  2. Wenlong Huang
  3. Geoffrey E. Hinton
  4. Mathieu Labbé
  5. Kaiming He
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Yann LeCun
  10. Alec Radford

Who trusts Chen Huang overall

  1. Chan Hee Song
  2. Krishna Murthy Jatavallabhula

Papers from Chen Huang's perspective

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

Their papers