Lutz Eckstein

Computer Vision and Pattern Recognition · 2013–2019

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lutz Eckstein trusts

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

  1. Ross B. Girshick (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. Thomas Brox (in Computer Vision and Pattern Recognition)

Papers from Lutz Eckstein's perspective

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

  1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. The Cityscapes Dataset for Semantic Urban Scene Understanding
  4. SSD: Single Shot MultiBox Detector
  5. Vision meets robotics: The KITTI dataset
  6. You'll never walk alone: Modeling social behavior for multi-target tracking (IEEE International Conference on Computer Vision)
  7. Crowds by Example (Computer graphics forum (Print))
  8. The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems (International Conference on Intelligent Transportation Systems)
  9. Lanelet2: A high-definition map framework for the future of automated driving (International Conference on Intelligent Transportation Systems)
  10. Ontology based Scene Creation for the Development of Automated Vehicles (2018 IEEE Intelligent Vehicles Symposium (IV))

Their papers