Stefan Hinz

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 89 citations into it

Whom Stefan Hinz trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Shaoqing Ren
4. Andrew Zisserman
5. Piotr Doll'ar
6. Alex Krizhevsky
7. Jitendra Malik
8. David G. Lowe
9. Trevor Darrell
10. X. Zhang

Who trusts Stefan Hinz overall

1. Loic Landrieu

Papers from Stefan Hinz's perspective

Ordered by how strongly the researchers Stefan Hinz 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. ImageNet: A large-scale hierarchical image database
3. Microsoft COCO: Common Objects in Context
4. ImageNet classification with deep convolutional neural networks
5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
6. Gradient-based learning applied to document recognition
7. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
8. Going deeper with convolutions
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Review on Convolutional Neural Networks (CNN) in vegetation remote sensing (2021) — 1,587 citations
• FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery (2021) — 563 citations
• Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers (2015) — 672 citations