Jianbo Yu

Computer Vision and Pattern Recognition · 2011–2020

A researcher in the Science corpus: 2 papers; trusts 294 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Jianbo Yu trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Sam T. Roweis
  4. Mikhail Belkin
  5. Partha Niyogi
  6. Xiaofei He
  7. Arnaz Malhi
  8. Linxia Liao
  9. Shaoqing Ren
  10. Geoffrey E. Hinton

Who trusts Jianbo Yu overall

  1. Dong Wang
  2. Haidong Shao
  3. Yaguo Lei
  4. Hongkai Jiang
  5. Kwok Leung Tsui
  6. Naipeng Li
  7. Qiang Miao
  8. Fuan Wang
  9. Thomas Walter Rauber
  10. Huiwei Zhao

Papers from Jianbo Yu's perspective

Ordered by how strongly the researchers Jianbo Yu 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. 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. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers