Jooyoung Choi

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 209 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Jooyoung Choi trusts overall

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

  1. Tero Karras
  2. Diederik P. Kingma
  3. Pascal Vincent
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Prafulla Dhariwal
  9. Karen Simonyan
  10. Yann LeCun

Who trusts Jooyoung Choi overall

  1. Hyungjin Chung
  2. Jong Chul Ye
  3. Zongsheng Yue
  4. Jianyi Wang
  5. Gwanghyun Kim
  6. Mingi Kwon
  7. Xingchao Liu
  8. Omri Avrahami
  9. Duygu Ceylan
  10. Bahjat Kawar

Papers from Jooyoung Choi's perspective

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

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

Their papers