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Benjamin Eckart
Benjamin Eckart
Verified email at nvidia.com
Title
Cited by
Cited by
Year
Deepgmr: Learning latent gaussian mixture models for registration
W Yuan, B Eckart, K Kim, V Jampani, D Fox, J Kautz
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1052020
HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration
B Eckart, K Kim, J Kautz
Proceedings of the European Conference on Computer Vision (ECCV), 705-721, 2018
662018
BPAC: An adaptive write buffer management scheme for flash-based solid state drives
G Wu, B Eckart, X He
2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), 1-6, 2010
652010
An adaptive write buffer management scheme for flash-based ssds
G Wu, X He, B Eckart
ACM Transactions on Storage (TOS) 8 (1), 1-24, 2012
642012
Accelerated generative models for 3d point cloud data
B Eckart, K Kim, A Troccoli, A Kelly, J Kautz
Proceedings of the IEEE conference on computer vision and pattern …, 2016
582016
Performance adaptive UDP for high-speed bulk data transfer over dedicated links
B Eckart, X He, Q Wu
2008 IEEE International Symposium on Parallel and Distributed Processing, 1-10, 2008
53*2008
Failure prediction models for proactive fault tolerance within storage systems
B Eckart, X Chen, X He, SL Scott
2008 IEEE International Symposium on Modeling, Analysis and Simulation of …, 2008
492008
Mlmd: Maximum likelihood mixture decoupling for fast and accurate point cloud registration
B Eckart, K Kim, A Troccoli, A Kelly, J Kautz
2015 International Conference on 3D Vision, 241-249, 2015
472015
Modeling point cloud data using hierarchies of gaussian mixture models
BD Eckart, K Kim, AJ Troccoli, J Kautz
US Patent 10,482,196, 2019
442019
A dynamic performance-based flow control method for high-speed data transfer
B Eckart, X He, Q Wu, C Xie
IEEE Transactions on Parallel and Distributed Systems 21 (1), 114-125, 2009
372009
Code-m: A non-mds erasure code scheme to support fast recovery from up to two-disk failures in storage systems
S Wan, Q Cao, C Xie, B Eckart, X He
2010 IEEE/IFIP International Conference on Dependable Systems & Networks …, 2010
262010
Self-supervised learning on 3d point clouds by learning discrete generative models
B Eckart, W Yuan, C Liu, J Kautz
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
252021
REM-Seg: A robust EM algorithm for parallel segmentation and registration of point clouds
B Eckart, A Kelly
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
222013
Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures
B Eckart, K Kim, J Kautz
arXiv preprint arXiv:1807.02587, 2018
202018
Hauptspeicherdatenbanken für Unternehmensanwendungen: Datenmanagement für Unternehmensanwendungen im Kontext heutiger Anforderungen und Trends
J Krueger, M Grund, C Tinnefeld, B Eckart, A Zeier, H Plattner
Datenbank-Spektrum 10 (3), 143-158, 2010
152010
Neural trajectory fields for dynamic novel view synthesis
C Wang, B Eckart, S Lucey, O Gallo
arXiv preprint arXiv:2105.05994, 2021
102021
Compact generative models of point cloud data for 3D perception
B Eckart
Ph. D. Thesis, 2017
102017
Fast multi-scale point cloud registration with a hierarchical gaussian mixture
BD Eckart, K Kim, J Kautz
US Patent 10,826,786, 2020
72020
Eoe: Expected overlap estimation over unstructured point cloud data
B Eckart, K Kim, K Jan
2018 International Conference on 3D Vision (3DV), 747-755, 2018
72018
An Extensible I/O Performance Analysis Framework for Distributed Environments.
B Eckart, X He, H Ong, SL Scott
Euro-Par 9, 57-78, 2009
62009
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