Jian Xiong

Computer Vision and Pattern Recognition · with Gao · 2019

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jian Xiong trusts overall

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

  1. Kaiming He
  2. Christian Szegedy
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton

Papers from Jian Xiong's perspective

Ordered by how strongly the researchers Jian Xiong 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. Going deeper with convolutions
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Fully convolutional networks for semantic segmentation
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers