Yung-Yu Chuang

Computer Vision and Pattern Recognition · 2001–2019

A researcher in the Science corpus: 7 papers; trusts 455 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Yung-Yu Chuang trusts overall

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

  1. Mark A. Ruzon
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Andrew Zisserman
  6. David G. Lowe
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Yoshua Bengio
  10. Ross B. Girshick

Who trusts Yung-Yu Chuang overall

  1. Xue Bai
  2. Jue Wang
  3. Anat Levin
  4. Guillermo Sapiro
  5. Jiaya Jia
  6. Ramesh Raskar
  7. C. Lawrence
  8. C. Lawrence Zitnick
  9. Dani Lischinski
  10. Michael F. Cohen

Papers from Yung-Yu Chuang's perspective

Ordered by how strongly the researchers Yung-Yu Chuang 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers