Wonseok Hwang

Computer Vision and Pattern Recognition · with Yim · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wonseok Hwang trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Andrea Vedaldi (in Computer Vision and Pattern Recognition)
  7. Karen Simonyan (in Computer Vision and Pattern Recognition)
  8. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  9. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  10. Jitendra Malik (in Computer Vision and Pattern Recognition)

Papers from Wonseok Hwang's perspective

Ordered by how strongly the researchers Wonseok Hwang 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. ImageNet: A large-scale hierarchical image database
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. ImageNet classification with deep convolutional neural networks
  7. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)

Their papers