Seungjun Nah

Computer Vision and Pattern Recognition · 2016–2025

A researcher in the Science corpus: 7 papers; trusts 511 researchers and is trusted by 284 researchers here, as inferred from the citation graph.

Subfields

Whom Seungjun Nah trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Jimmy Ba
  9. Ross B. Girshick
  10. Radu Timofte

Who trusts Seungjun Nah overall

  1. Syed Waqas Zamir
  2. Xintao Wang
  3. Liangyu Chen
  4. Kai Zhang
  5. Kelvin C. K. Chan
  6. Jingyun Liang
  7. Orest Kupyn
  8. Aditya Arora
  9. Simon Niklaus
  10. Radu Timofte

Papers from Seungjun Nah's perspective

Ordered by how strongly the researchers Seungjun Nah 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. GENERATIVE ADVERSARIAL NETS

Their papers