Keqin Chen

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Keqin Chen 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. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Keqin Chen's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Microsoft COCO: Common Objects in Context
  4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  5. Language Models are Unsupervised Multitask Learners
  6. Improving Language Understanding by Generative Pre-Training
  7. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  8. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  9. VQA: Visual Question Answering
  10. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Their papers