Yu-Sheng Chen

Computer Vision and Pattern Recognition · with Chang · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 175 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Yu-Sheng Chen trusts overall

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

  1. Qifeng Chen
  2. Sergey Ioffe
  3. Andrew Zisserman
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Individualized Treat
  7. Alex Krizhevsky
  8. Christian Szegedy
  9. Kaiming He
  10. Yann LeCun

Who trusts Yu-Sheng Chen overall

  1. Chongyi Li
  2. Chunle Guo
  3. M. Islam
  4. Zhixiang Wang
  5. Syed Waqas Zamir
  6. Ruixing Wang
  7. Yonghua Zhang
  8. Huiyu Zeng
  9. Runmin Cong
  10. Zhengzhong Tu

Papers from Yu-Sheng Chen's perspective

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

Their papers