Seungkyu Lee

Computer Vision and Pattern Recognition · 2013–2023

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 Seungkyu Lee trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Seungkyu Lee's perspective

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

  1. Distilling the Knowledge in a Neural Network (arXiv.org)
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Improving Language Understanding by Generative Pre-Training
  4. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  5. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
  6. Focal Loss for Dense Object Detection
  7. MobileNetV2: Inverted Residuals and Linear Bottlenecks
  8. On the Opportunities and Risks of Foundation Models
  9. High-Resolution Image Synthesis with Latent Diffusion Models (Computer Vision and Pattern Recognition)
  10. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Their papers