Wei Jiang

Computer Vision and Pattern Recognition · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 586 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Jiang trusts overall

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

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

Who trusts Wei Jiang overall

  1. Vincent Leroy
  2. Geoffrey E. Hinton
  3. Mang Ye
  4. Shirzad Amir
  5. Haofei Xu
  6. Carl Doersch
  7. Hongkai Chen
  8. Zhaoyang Huang
  9. Yang Liu
  10. Yohann Cabon

Papers from Wei Jiang's perspective

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

Their papers