Stefan Gumhold
Computer Vision and Pattern Recognition · 2001–2017
A researcher in the Science corpus: 6 papers; trusts 298 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 135 citations into it; #4,705 of 21,575 by trust here, #4,690 by citations
- Aerospace Engineering — 49 citations into it; #584 of 6,421 by trust here, #673 by citations
- Artificial Intelligence — 31 citations into it
- 3D Vision & Pose — 12 citations into it; #348 of 689 by trust here, #305 by citations
- Human-Computer Interaction — 8 citations into it
- Optimization & Training — 7 citations into it
Whom Stefan Gumhold trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Michael Garland
- Jamie Shotton
- Nina Amenta
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Sunil Arya
- Diederik P. Kingma
- Kaiming He
Who trusts Stefan Gumhold overall
- Eric Brachmann
- Niloy J. Mitra
- Min-koo Kim
- Mark Pauly
- Yutaka Ohtake
- Jean-François Lalonde
- Ignasi Clavera Gilaberte
- Bugra Tekin
- Yu Xiang
- Hoon Sohn
Papers from Stefan Gumhold's perspective
Ordered by how strongly the researchers Stefan Gumhold trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Distinctive Image Features from Scale-Invariant Keypoints
Their papers
- Learning 6D Object Pose Estimation Using 3D Object Coordinates (2014) — 868 citations
- Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image (2016) — 546 citations
- DSAC — Differentiable RANSAC for Camera Localization (2016) — 715 citations
- Global Hypothesis Generation for 6D Object Pose Estimation (2016) — 122 citations
- Visualizations of Deep Neural Networks in Computer Vision: A Survey (2017) — 74 citations
- Feature Extraction From Point Clouds (2001) — 373 citations