Yibin Huang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 114 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yibin Huang trusts overall

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

  1. Jianming Zhang
  2. Radhakrishna Achanta
  3. Pingping Zhang
  4. Ming-Ming Cheng
  5. Yun Zhai
  6. Laurent Itti
  7. Kaiming He
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Wangjiang Zhu

Who trusts Yibin Huang overall

  1. Marco Rudolph
  2. Karsten Roth
  3. Bastian Wandt
  4. Kilian Batzner
  5. Latha Pemula
  6. Bodo Rosenhahn

Papers from Yibin Huang's perspective

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

Their papers