Erich Müller

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Erich Müller trusts

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

  1. Cristian Sminchisescu (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. David G. Lowe (in Computer Vision and Pattern Recognition)

Papers from Erich Müller's perspective

Ordered by how strongly the researchers Erich Müller 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. Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose
  3. Unsupervised Learning of Depth and Ego-Motion from Video
  4. 3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network
  5. Hand Keypoint Detection in Single Images Using Multiview Bootstrapping
  6. A Simple Yet Effective Baseline for 3d Human Pose Estimation
  7. Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
  8. Learning from Synthetic Humans
  9. Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
  10. Deep Multitask Architecture for Integrated 2D and 3D Human Sensing

Their papers