Jounghoon Beh

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jounghoon Beh trusts overall

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

  1. Lawrence R. Rabiner
  2. G. Johansson
  3. Inderjit S. Dhillon
  4. Louis-philippe Morency
  5. Xiaodong Yang
  6. John D. Lafferty
  7. Ariadna Quattoni
  8. Arindam Banerjee
  9. Jonathan Alon
  10. Hajo Holzmann

Papers from Jounghoon Beh's perspective

Ordered by how strongly the researchers Jounghoon Beh 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  10. Going deeper with convolutions

Their papers