Jinjun Xiong

Computer Vision and Pattern Recognition · with Huang · 2018–2019

A researcher in the Science corpus: 5 papers; trusts 416 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jinjun Xiong trusts overall

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

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

Papers from Jinjun Xiong's perspective

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

Their papers