Frederick Meyer

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 Frederick Meyer 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 Frederick Meyer's perspective

Ordered by how strongly the researchers Frederick Meyer 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. ImageNet classification with deep convolutional neural networks
  4. Unsupervised Learning of Depth and Ego-Motion from Video
  5. 3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network
  6. Hand Keypoint Detection in Single Images Using Multiview Bootstrapping
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. A Simple Yet Effective Baseline for 3d Human Pose Estimation
  10. Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image

Their papers