Minsoo Kang

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 608 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Minsoo Kang trusts overall

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

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

Who trusts Minsoo Kang overall

  1. Linfeng Zhang
  2. Liyuan Wang
  3. Jianping Gou
  4. Da-Wei Zhou
  5. Chenglong Bao
  6. Xingxing Zhang
  7. Baosheng Yu
  8. Qiwen Wang
  9. Andrés Villa
  10. Kaisheng Ma

Papers from Minsoo Kang's perspective

Ordered by how strongly the researchers Minsoo Kang 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. Learning Multiple Layers of Features from Tiny Images

Their papers