Fabian Manhardt

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 427 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 120 citations into it; #9,667 of 21,575 by trust here, #9,563 by citations
• Aerospace Engineering — 73 citations into it; #2,496 of 6,421 by trust here, #2,367 by citations
• Control and Systems Engineering — 22 citations into it
• Artificial Intelligence — 19 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Computational Mechanics — 7 citations into it; #4,752 of 10,001 by trust here, #4,937 by citations
• Computer Graphics and Computer-Aided Design — 6 citations into it
• Model Architectures — 6 citations into it

Whom Fabian Manhardt trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Tsung-Yi Lin
5. Alex Krizhevsky
6. Shaoqing Ren
7. David G. Lowe
8. Piotr Doll'ar
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Fabian Manhardt overall

1. Xinzhu Ma
2. Brady Zhou
3. Andrea Simonelli
4. Zechen Liu
5. Cody Reading
6. Yongjian Chen
7. Bugra Tekin
8. Sergey Zakharov
9. Philipp Krahenbuhl
10. Dennis Park

Papers from Fabian Manhardt's perspective

Ordered by how strongly the researchers Fabian Manhardt 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again (2017) — 1,003 citations
• BOP: Benchmark for 6D Object Pose Estimation (2018) — 544 citations
• GDRNPP: A Geometry-Guided and Fully Learning-Based Object Pose Estimator (2021) — 303 citations
• ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape (2018) — 302 citations