Feng Xu

Computer Vision and Pattern Recognition · with Habermann · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Xu trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. Thomas Brox (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Yaser Sheikh (in Computer Vision and Pattern Recognition)
  6. Yann LeCun (in Computer Vision and Pattern Recognition)
  7. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  8. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Feng Xu's perspective

Ordered by how strongly the researchers Feng Xu 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. Understanding the difficulty of training deep feedforward neural networks
  3. Convolutional Pose Machines
  4. Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks
  5. Hand Keypoint Detection in Single Images Using Multiview Bootstrapping
  6. Learning to Estimate 3D Hand Pose from Single RGB Images
  7. ImageNet classification with deep convolutional neural networks
  8. Real-Time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor (IEEE International Conference on Computer Vision)
  9. Accurate, Robust, and Flexible Real-time Hand Tracking
  10. Training a Feedback Loop for Hand Pose Estimation

Their papers