Xue-bo Jin

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xue-bo Jin trusts overall

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

  1. Ross B. Girshick
  2. Joseph Redmon
  3. Kaiming He
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Yann LeCun
  7. Tsung-Yi Lin
  8. Karen Simonyan
  9. Yoshua Bengio
  10. Ilya Sutskever

Papers from Xue-bo Jin's perspective

Ordered by how strongly the researchers Xue-bo Jin 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 Large Scale Visual Recognition Challenge
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers