Seungchan Lee

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Seungchan Lee trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. Diederik P. Kingma (in Artificial Intelligence)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Jimmy Ba (in Artificial Intelligence)
  6. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  7. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  8. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  9. Antonio Torralba (in Computer Vision and Pattern Recognition)
  10. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Seungchan Lee's perspective

Ordered by how strongly the researchers Seungchan 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. GloVe: Global Vectors for Word Representation
  5. ImageNet classification with deep convolutional neural networks
  6. End-To-End Memory Networks
  7. Long Short-Term Memory
  8. Large-Scale Video Classification with Convolutional Neural Networks
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers