Xiang Bai

Computer Vision and Pattern Recognition · with Liang · 2024

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiang Bai trusts

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

  1. François Chollet (in Computer Vision and Pattern Recognition)
  2. Noam Shazeer (in Model Architectures)
  3. Leonidas J. Guibas (in Computational Mechanics)
  4. Hao Su (in Computational Mechanics)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Xiang Bai's perspective

Ordered by how strongly the researchers Xiang Bai 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. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  5. Language Models are Unsupervised Multitask Learners
  6. Improving Language Understanding by Generative Pre-Training
  7. Xception: Deep Learning with Depthwise Separable Convolutions
  8. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  9. ShapeNet: An Information-Rich 3D Model Repository
  10. End-to-End Object Detection with Transformers (European Conference on Computer Vision)

Their papers