Stefan Hörmann

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stefan Hörmann trusts

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

  1. Tien-Ping Tan (in Computer Vision and Pattern Recognition)
  2. Liang Wang (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Stefan Hörmann's perspective

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

  1. Microsoft COCO: Common Objects in Context
  2. ImageNet classification with deep convolutional neural networks
  3. Individual recognition using gait energy image
  4. A Framework for Evaluating the Effect of View Angle, Clothing and Carrying Condition on Gait Recognition (International Conference on Pattern Recognition)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Supervised Contrastive Learning
  7. Deep High-Resolution Representation Learning for Human Pose Estimation
  8. A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  9. Going deeper with convolutions
  10. Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Their papers