Maren Bennewitz
Computer Vision and Pattern Recognition · 2000–2013
A researcher in the Science corpus: 7 papers; trusts 27 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 26 citations into it; #11,844 of 21,575 by trust here, #6,206 by citations
- Aerospace Engineering — 19 citations into it; #2,968 of 6,421 by trust here, #1,014 by citations
- Artificial Intelligence — 13 citations into it; #29,553 of 35,345 by trust here, #16,471 by citations
- Reinforcement Learning — 10 citations into it
- Control and Systems Engineering — 8 citations into it
- Geology — 7 citations into it
- Robotics & Control — 7 citations into it; #363 of 609 by trust here, #345 by citations
- Computer Graphics and Computer-Aided Design — 5 citations into it; #1,073 of 1,584 by trust here, #646 by citations
Whom Maren Bennewitz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lawrence R. Rabiner
- Nils J. Nilsson
- Katherine L. Silversides
- Geoffrey J. McLachlan
- Sebastian Thrun
- Michael Montemerlo
- Richard S. Sutton
- M. Swain
- Marco A. Wiering
- Geoffrey E. Hinton
Who trusts Maren Bennewitz overall
- Przemyslaw A. Lasota
- Sebastian Thrun
- Dizan Vasquez
- Pete Trautman
- Andrey Rudenko
- Dieter Fox
- Markus Achtelik
- T. Fong
- Olivier Aycard
- Matthias Luber
Papers from Maren Bennewitz's perspective
Ordered by how strongly the researchers Maren Bennewitz 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- OctoMap: an efficient probabilistic 3D mapping framework based on octrees (2013) — 3,129 citations
- Whole-body motion planning for manipulation of articulated objects (2013) — 95 citations
- Learning Motion Patterns of People for Compliant Robot Motion (2005) — 468 citations
- Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva (2000) — 622 citations
- Imitative Reinforcement Learning for Soccer Playing Robots (2006) — 19 citations
- Learning reliable and efficient navigation with a humanoid (2010) — 35 citations
- OctoMap : A Probabilistic , Flexible , and Compact 3 D Map Representation for Robotic Systems (2010) — 511 citations