Ran Ju

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ran Ju trusts overall

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

  1. Deqing Sun
  2. Stas Goferman
  3. Ran Margolin
  4. Laurent Itti
  5. Yuzhen Niu
  6. Lihi Zelnik-Manor
  7. Ayellet Tal
  8. Ming-Ming Cheng
  9. Radhakrishna Achanta
  10. Tie Liu

Who trusts Ran Ju overall

  1. Deng-Ping Fan
  2. Nian Liu
  3. Junwei Han
  4. Jiaxing Zhao
  5. Keren Fu
  6. Tao Zhou
  7. Jing Zhang
  8. Liangqiong Qu
  9. Ming-Ming Cheng
  10. Ling Shao

Papers from Ran Ju's perspective

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

Their papers