Tiejun Huang

Computer Vision and Pattern Recognition · with Wang · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 43 researchers 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)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  5. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  6. Jitendra Malik (in Computer Vision and Pattern Recognition)
  7. Jonathan Ho (in Computer Vision and Pattern Recognition)
  8. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  9. Alexei A. Efros (in Computer Vision and Pattern Recognition)
  10. Li Fei-Fei (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. Attention is All you Need (Neural Information Processing Systems)
  2. Microsoft COCO: Common Objects in Context
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  5. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
  6. Decoupled Weight Decay Regularization
  7. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
  8. AUTO-ENCODING VARIATIONAL BAYES
  9. Hierarchical Text-Conditional Image Generation with CLIP Latents (arXiv.org)
  10. Microsoft COCO Captions: Data Collection and Evaluation Server

Their papers