Hu Xu

Computer Vision and Pattern Recognition · with Assran · 2023

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hu Xu trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  5. Geoffrey E. Hinton (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. Alexei A. Efros (in Computer Vision and Pattern Recognition)
  9. Cordelia Schmid (in Computer Vision and Pattern Recognition)
  10. David G. Lowe (in Computer Vision and Pattern Recognition)

Papers from Hu Xu's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Unsupervised Visual Representation Learning by Context Prediction
  4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  5. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  6. Colorful Image Colorization
  7. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  8. 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
  9. Dimensionality Reduction by Learning an Invariant Mapping
  10. Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

Their papers