Liangyan Gui

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liangyan Gui 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. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  4. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Jitendra Malik (in Computer Vision and Pattern Recognition)
  7. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  8. Karen Simonyan (in Computer Vision and Pattern Recognition)
  9. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  10. Prafulla Dhariwal (in Computer Vision and Pattern Recognition)

Papers from Liangyan Gui's perspective

Ordered by how strongly the researchers Liangyan Gui 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. Microsoft COCO: Common Objects in Context
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  7. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Proximal Policy Optimization Algorithms (arXiv.org)
  10. ImageNet: A large-scale hierarchical image database

Their papers