Jin Hyeok Yoo

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 150 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jin Hyeok Yoo trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Charles Ruizhongtai Qi
  4. Shaoqing Ren
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Tsung-Yi Lin
  8. Yoshua Bengio
  9. Leslie N. Smith
  10. Yann LeCun

Who trusts Jin Hyeok Yoo overall

  1. Wu Zheng
  2. Chunwei Wang
  3. De Jong Yeong
  4. Yukang Chen
  5. Yanwei Li
  6. Jiageng Mao
  7. Weiliang Tang
  8. Chao Ma
  9. Gustavo Adolfo Velasco-Hernández
  10. Li Jiang

Papers from Jin Hyeok Yoo's perspective

Ordered by how strongly the researchers Jin Hyeok Yoo 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers