Yuting Ye

Computer Vision and Pattern Recognition · 2013–2018

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Yuting Ye trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Karen Simonyan
  4. Peter U. Diehl
  5. Geoffrey E. Hinton
  6. Szymon Rusinkiewicz
  7. Sam T. Roweis
  8. Hao Li
  9. Andrew Zisserman
  10. Yann LeCun

Who trusts Yuting Ye overall

  1. Wei Fang
  2. Nitin Rathi
  3. Michael Zollhöfer
  4. Kaushik Roy
  5. Justus Thies
  6. Gopalakrishnan Srinivasan
  7. Bing Han
  8. Zhaofei Yu
  9. Shi-Wee Deng
  10. Kashu Yamazaki

Papers from Yuting Ye's perspective

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

Their papers