Claudia Lindner

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it

Whom Claudia Lindner trusts overall

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

1. Dana H. Ballard
2. Paul A. Viola
3. Martin Köstinger
4. Michael J. Jones
5. Paul Wohlhart
6. Ross B. Girshick

Who trusts Claudia Lindner overall

1. Junjie Yan
2. Shuyin Xia
3. Mohammadreza Sheykhmousa
4. Dahai Zhang
5. Zhen Lei

Papers from Claudia Lindner's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
7. Distinctive Image Features from Scale-Invariant Keypoints
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Robust and Accurate Shape Model Matching Using Random Forest Regression-Voting (2015) — 420 citations
• A benchmark for comparison of dental radiography analysis algorithms (2016) — 380 citations