Ngai-Man Cheung

Artificial Intelligence · with Du · 2023

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ngai-Man Cheung trusts

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

  1. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  4. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  5. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  6. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  7. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  8. Jitendra Malik (in Computer Vision and Pattern Recognition)
  9. Alexei A. Efros (in Computer Vision and Pattern Recognition)
  10. Piotr Doll'ar (in Computer Vision and Pattern Recognition)

Papers from Ngai-Man Cheung's perspective

Ordered by how strongly the researchers Ngai-Man Cheung trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet: A large-scale hierarchical image database
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Microsoft COCO: Common Objects in Context
  7. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  8. Language Models are Unsupervised Multitask Learners
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers