Kwang In Kim

Computer Vision and Pattern Recognition · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2002–2004

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Kwang In Kim trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Thomas M. Cover
  3. Matthew A. Turk
  4. Kah Kay Sung
  5. C. Burges
  6. Dorin Comaniciu
  7. Guo-qing Guo
  8. Song-Chun Zhu
  9. K. Müller
  10. Steve Lawrence

Who trusts Kwang In Kim overall

  1. Cong Yao
  2. Qixiang Ye
  3. Xiang Bai
  4. Weilin Huang
  5. Barbara Caputo
  6. Yuliang Liu
  7. Eric Hayman
  8. Amit Kumar Mishra
  9. Lorenzo Bruzzone
  10. Yingying Zhu

Papers from Kwang In Kim's perspective

Ordered by how strongly the researchers Kwang In 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  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