Sungbin Lim

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 92 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Sungbin Lim trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Yoshua Bengio
  7. X. Zhang
  8. Shaoqing Ren
  9. Andrew Zisserman
  10. Xavier Gastaldi

Who trusts Sungbin Lim overall

  1. Ekin Dogus Cubuk
  2. Ishan Misra
  3. Barret Zoph
  4. Xiao Wang
  5. Hadi Pouransari
  6. Samuel G. Müller
  7. Claudio Filipi Goncalves dos Santos
  8. Hankook Lee
  9. Katherine L. Hermann
  10. Yaowei Zheng

Papers from Sungbin Lim's perspective

Ordered by how strongly the researchers Sungbin Lim 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers