Bertram Drost

Computer Vision and Pattern Recognition · 2010–2020

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Aerospace Engineering — 28 citations into it; #2,155 of 6,421 by trust here, #1,425 by citations

Whom Bertram Drost trusts overall

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

1. Andrew E. Johnson
2. Ajmal Saeed Mian
3. Tahir Rabbani
4. Radu Bogdan Rusu
5. Kaiming He
6. Martial Hebert
7. Mohammed Bennamoun
8. Frank van den Heuvel
9. Ross B. Girshick
10. Geoffrey E. Hinton

Who trusts Bertram Drost overall

1. Tomas Hodan
2. Frank Michel
3. Oncel Tuzel
4. Qian-Yi Zhou
5. Yann Labb'e
6. Heng Yang
7. Gu Wang
8. Stefan Hinterstoißer
9. Andreas Doumanoglou
10. Xiaoshui Huang

Papers from Bertram Drost's perspective

Ordered by how strongly the researchers Bertram Drost 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 classification with deep convolutional neural networks
3. ImageNet Large Scale Visual Recognition Challenge
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Microsoft COCO: Common Objects in Context
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• BOP Challenge 2020 on 6D Object Localization (2020) — 331 citations
• BOP: Benchmark for 6D Object Pose Estimation (2018) — 544 citations
• Model globally, match locally: Efficient and robust 3D object recognition (2010) — 1,085 citations