Jason Ku

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 167 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Jason Ku trusts overall

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

  1. Ross B. Girshick
  2. Diederik P. Kingma
  3. Andreas Geiger
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Kaiming He
  7. Alex Krizhevsky
  8. Xiaozhi Chen
  9. Karen Simonyan
  10. Xavier Glorot

Who trusts Jason Ku overall

  1. Shaoshuai Shi
  2. Yisheng He
  3. Zetong Yang
  4. Eduardo Arnold
  5. Ming Liang
  6. Zhixin Wang
  7. Tianwei Yin
  8. Yan Wang
  9. Yulong Cao
  10. Wu Zheng

Papers from Jason Ku's perspective

Ordered by how strongly the researchers Jason Ku 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers