Nako Sung

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Nako Sung trusts overall

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

  1. Kaiming He
  2. Patrick Hunt
  3. X. Zhang
  4. Alex Krizhevsky
  5. Shaoqing Ren
  6. Tianqi Chen
  7. Geoffrey E. Hinton

Who trusts Nako Sung overall

  1. Hyun-woo Koh
  2. Jung-Woo Ha
  3. Hee-Soo Heo
  4. Xiaodong Gu
  5. Wonseok Hwang
  6. Youngmin Baek
  7. Jaesung Huh
  8. Joon Son Chung
  9. Hyeong-Seok Choi
  10. Jinhyuk Lee

Papers from Nako Sung's perspective

Ordered by how strongly the researchers Nako Sung 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. ImageNet Large Scale Visual Recognition Challenge
  4. Learning Multiple Layers of Features from Tiny Images
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers