Tiejun Huang

Computer Vision and Pattern Recognition · with Liu · 2024

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

Subfields

Whom Tiejun Huang trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Tiejun Huang's perspective

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

  1. Language Models are Unsupervised Multitask Learners
  2. LAION-5B: An open large-scale dataset for training next generation image-text models
  3. Semantic Understanding of Scenes Through the ADE20K Dataset
  4. DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
  5. Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval
  6. InstructPix2Pix: Learning to Follow Image Editing Instructions
  7. SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis (International Conference on Learning Representations)
  8. Let's Verify Step by Step
  9. Deep Retinex Decomposition for Low-Light Enhancement (British Machine Vision Conference)
  10. Real-World Anomaly Detection in Surveillance Videos

Their papers