Xiaohong Jia

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaohong Jia trusts overall

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

  1. Songcan Chen
  2. Dorin Comaniciu
  3. Stelios Krinidis
  4. Pablo Arbeláez
  5. Maoguo Gong
  6. Daoqiang Zhang
  7. Peter Meer
  8. Alex Krizhevsky
  9. Min Bai
  10. Vassilios Chatzis

Papers from Xiaohong Jia's perspective

Ordered by how strongly the researchers Xiaohong 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Going deeper with convolutions
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Fully convolutional networks for semantic segmentation
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers