Michael Strecke

According to our database, Michael Strecke authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Object-Level Dynamic Scene Reconstruction With Physical Plausibility From RGB-D Images.

Michael Strecke

PhD thesis, 2024

Physics-Based Rigid Body Object Tracking and Friction Filtering From RGB-D Videos.

Rama Krishna Kandukuri, Michael Strecke, Joerg Stueckler

Proceedings of the International Conference on 3D Vision, 2024

2021

DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes.

Michael Strecke, Joerg Stueckler

Proceedings of the International Conference on 3D Vision, 2021

2020

Where Does It End? - Reasoning About Hidden Surfaces by Object Intersection Constraints.

Michael Strecke, Joerg Stueckler

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

EM-Fusion: Dynamic Object-Level SLAM With Probabilistic Data Association.

Michael Strecke, Jörg Stückler

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Sublabel-Accurate Convex Relaxation with Total Generalized Variation Regularization.

Michael Strecke, Bastian Goldluecke

Proceedings of the Pattern Recognition - 40th German Conference, 2018

Light Field Intrinsics With a Deep Encoder-Decoder Network.

Anna Alperovich, Ole Johannsen, Michael Strecke, Bastian Goldluecke

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Shadow and Specularity Priors for Intrinsic Light Field Decomposition.

Anna Alperovich, Ole Johannsen, Michael Strecke, Bastian Goldluecke

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Accurate Depth and Normal Maps from Occlusion-Aware Focal Stack Symmetry.

Michael Strecke, Anna Alperovich, Bastian Goldluecke

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms.

Ole Johannsen, Katrin Honauer, Bastian Goldluecke, Anna Alperovich, Federica Battisti, Yunsu Bok, Michele Brizzi, Marco Carli, Gyeongmin Choe, Maximilian Diebold, Marcel Gutsche, Hae-Gon Jeon, In So Kweon, Jaesik Park, Jinsun Park, Hendrik Schilling, Hao Sheng, Lipeng Si, Michael Strecke, Antonin Sulc, Yu-Wing Tai, Qing Wang, Ting-Chun Wang, Sven Wanner, Zhang Xiong, Jingyi Yu, Shuo Zhang, Hao Zhu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017