Seung Wook Kim

Computer Vision and Pattern Recognition · with Fidler · 2018–2023

A researcher in the Science corpus: 4 papers; trusts 767 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Seung Wook Kim trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Yann LeCun
  9. Shaoqing Ren
  10. Karen Simonyan

Who trusts Seung Wook Kim overall

  1. Jorge Armando Mendez Mendez

Papers from Seung Wook Kim's perspective

Ordered by how strongly the researchers Seung Wook Kim 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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