Kwan-Yee Kenneth Wong

Computer Vision and Pattern Recognition · 1 papers · 2023

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kwan-Yee Kenneth Wong trusts

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

  1. Jonathan Ho (in Computer Vision and Pattern Recognition)
  2. John F. Canny (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  7. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  8. Jitendra Malik (in Computer Vision and Pattern Recognition)
  9. Zhuowen Tu (in Computer Vision and Pattern Recognition)
  10. Piotr Doll'ar (in Computer Vision and Pattern Recognition)

Papers from Kwan-Yee Kenneth Wong's perspective

Ordered by how strongly the researchers Kwan-Yee Kenneth Wong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Microsoft COCO: Common Objects in Context
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  5. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  6. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
  7. Zero-Shot Text-to-Image Generation
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Hierarchical Text-Conditional Image Generation with CLIP Latents (arXiv.org)
  10. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)

Their papers