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2014


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Rough Terrain Mapping and Navigation using a Continuously Rotating 2D Laser Scanner

Schadler, M., Stueckler, J., Behnke, S.

Künstliche Intelligenz (KI), 28(2):93-99, Springer, 2014 (article)

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link (url) DOI [BibTex]

2014


link (url) DOI [BibTex]


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Dense Real-Time Mapping of Object-Class Semantics from RGB-D Video

Stueckler, J., Waldvogel, B., Schulz, H., Behnke, S.

Journal of Real-Time Image Processing (JRTIP), 10(4):599-609, Springer, 2014 (article)

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link (url) DOI [BibTex]

link (url) DOI [BibTex]


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Multi-Resolution Surfel Maps for Efficient Dense 3D Modeling and Tracking

Stueckler, J., Behnke, S.

Journal of Visual Communication and Image Representation (JVCI), 25(1):137-147, 2014 (article)

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link (url) DOI [BibTex]

link (url) DOI [BibTex]

2008


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Active tails enhance arboreal acrobatics in geckos

Jusufi, A., Goldman, D., Revzen, S., Full, R.

PNAS, 105(11):4215-4219, 2008 (article)

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link (url) [BibTex]

2008


link (url) [BibTex]


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Hierarchical Reactive Control for Humanoid Soccer Robots

Behnke, S., Stueckler, J.

International Journal of Humanoid Robots (IJHR), 5(3):375-396, 2008 (article)

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link (url) [BibTex]

link (url) [BibTex]


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Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

Rolinek, M., Swoboda, P., Zietlow, D., Paulus, A., Musil, V., Martius, G.

Arxiv (article)

Abstract
Building on recent progress at the intersection of combinatorial optimization and deep learning, we propose an end-to-end trainable architecture for deep graph matching that contains unmodified combinatorial solvers. Using the presence of heavily optimized combinatorial solvers together with some improvements in architecture design, we advance state-of-the-art on deep graph matching benchmarks for keypoint correspondence. In addition, we highlight the conceptual advantages of incorporating solvers into deep learning architectures, such as the possibility of post-processing with a strong multi-graph matching solver or the indifference to changes in the training setting. Finally, we propose two new challenging experimental setups

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Arxiv [BibTex]