Choong-Seon Hong

Computer Vision and Pattern Recognition · with Bae · 2023

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

Subfields

Whom Choong-Seon Hong trusts

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

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

Papers from Choong-Seon Hong's perspective

Ordered by how strongly the researchers Choong-Seon Hong 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. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
  5. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  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