Sen Jia

Computer Vision and Pattern Recognition · with Bruce · 2015–2021

A researcher in the Science corpus: 6 papers; trusts 622 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Sen Jia trusts overall

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

  1. Karen Simonyan
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Andrew Zisserman
  7. Yoshua Bengio
  8. Matthew D. Zeiler
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Sen Jia overall

  1. Shruti Bhargava
  2. Daiqi Shi
  3. David A. Forsyth
  4. Enze Xie
  5. Xiaohong Huang
  6. Yuda Song
  7. Vahid Mirjalili
  8. Sen Yang
  9. Chieh Hubert Lin
  10. Wenhai Wang

Papers from Sen Jia's perspective

Ordered by how strongly the researchers Sen Jia 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. 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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers