Jun Shi

Computer Vision and Pattern Recognition · with Wei · 2010–2021

A researcher in the Science corpus: 3 papers; trusts 147 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Shi trusts overall

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

  1. Richard Baraniuk
  2. Ross B. Girshick
  3. Kaiming He
  4. E.J. Candes
  5. Shaoqing Ren
  6. Karen Simonyan
  7. Tsung-Yi Lin
  8. Alex Krizhevsky
  9. Geoffrey E. Hinton
  10. Andrew Zisserman

Papers from Jun Shi's perspective

Ordered by how strongly the researchers Jun Shi 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. ImageNet: A large-scale hierarchical image database
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Microsoft COCO: Common Objects in Context
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers