Haotian Guan

Computer Vision and Pattern Recognition · 2025

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haotian Guan trusts overall

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

  1. Jun Ma

Papers from Haotian Guan's perspective

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

  1. Segment Anything (IEEE International Conference on Computer Vision)
  2. Segment Anything in Medical Images (arXiv.org)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Layer Normalization
  5. Microsoft COCO: Common Objects in Context
  6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  7. ImageNet classification with deep convolutional neural networks
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers