Wenqi Shao

Computer Vision and Pattern Recognition · arXiv.org · 2024–2025

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wenqi Shao trusts

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

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

Papers from Wenqi Shao's perspective

Ordered by how strongly the researchers Wenqi Shao 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. Layer Normalization
  4. Language Models are Unsupervised Multitask Learners
  5. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  6. Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning
  7. Finetuned Language Models Are Zero-Shot Learners
  8. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
  9. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
  10. Flamingo: a Visual Language Model for Few-Shot Learning (Neural Information Processing Systems)

Their papers