Guk Bae Kim

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guk Bae Kim trusts

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

  1. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  2. Lijuan Cao (in Artificial Intelligence)
  3. Andrej Karpathy (in Computer Vision and Pattern Recognition)
  4. Yann LeCun (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. C. Lawrence Zitnick (in Computer Vision and Pattern Recognition)
  8. Kaiming He (in Computer Vision and Pattern Recognition)
  9. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  10. J. Urgen Schmidhuber (in Computer Vision and Pattern Recognition)

Papers from Guk Bae Kim's perspective

Ordered by how strongly the researchers Guk Bae Kim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Microsoft COCO: Common Objects in Context
  5. A Fast Learning Algorithm for Deep Belief Nets
  6. Fully convolutional networks for semantic segmentation
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Caffe: Convolutional Architecture for Fast Feature Embedding
  9. Show and tell: A neural image caption generator
  10. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Their papers