Xiaohua Shi

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaohua Shi trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Tamer Basar (in Artificial Intelligence)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  5. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  6. Nikos Komodakis (in Computer Vision and Pattern Recognition)
  7. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  8. Pietro Perona (in Computer Vision and Pattern Recognition)
  9. Jitendra Malik (in Computer Vision and Pattern Recognition)
  10. C. Lawrence Zitnick (in Computer Vision and Pattern Recognition)

Papers from Xiaohua Shi's perspective

Ordered by how strongly the researchers Xiaohua Shi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Going deeper with convolutions
  2. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers