Gim Hee Lee

Computer Vision and Pattern Recognition · with Ding · 2021–2023

A researcher in the Science corpus: 5 papers; trusts 810 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gim Hee Lee trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Yann LeCun
  8. Shaoqing Ren
  9. Ilya Sutskever
  10. Karen Simonyan

Who trusts Gim Hee Lee overall

  1. Hongbin Lin
  2. Liyuan Wang

Papers from Gim Hee Lee's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers