Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Eckart, Benjamin"'
Existing text-to-image models struggle to follow complex text prompts, raising the need for extra grounding inputs for better controllability. In this work, we propose to decompose a scene into visual primitives - denoted as dense blob representation
Externí odkaz:
http://arxiv.org/abs/2405.08246
Diffusion models have recently gained popularity for accelerated MRI reconstruction due to their high sample quality. They can effectively serve as rich data priors while incorporating the forward model flexibly at inference time, and they have been
Externí odkaz:
http://arxiv.org/abs/2310.01799
Autor:
Eckart, Benjamin
One of the most fundamental tasks for any robotics application is the ability to adequately assimilate and respond to incoming sensor data. In the case of 3D range sensing, modern-day sensors generate massive quantities of point cloud data that strai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c846bd3307b4a443d8606736144912d
Autor:
Eckart, Benjamin, Kelly, Alonzo
Publikováno v:
2013 IEEE/RSJ International Conference on Intelligent Robots & Systems; 2013, p4355-4362, 8p
Autor:
Schaffner, Jan, Eckart, Benjamin, Schwarz, Christian, Brunnert, Jan, Jacobs, Dean, Zeier, Alexander
Publikováno v:
New Frontiers in Information & Software as Services; 2011, p257-282, 26p
Publikováno v:
Euro-par 2009 Parallel Processing; 2009, p57-68, 12p
Autor:
Krueger, Jens, Grund, Martin, Tinnefeld, Christian, Eckart, Benjamin, Zeier, Alexander, Plattner, Hasso
Publikováno v:
Datenbank-Spektrum; Dec2010, Vol. 10 Issue 3, p143-158, 16p
Autor:
Eckart, Benjamin
Publikováno v:
Dissertations.
One of the most fundamental tasks for any robotics application is the ability to adequately assimilate and respond to incoming sensor data. In the case of 3D range sensing, modern-day sensors generate massive quantities of point cloud data that strai
Externí odkaz:
http://repository.cmu.edu/dissertations/1089
http://repository.cmu.edu/cgi/viewcontent.cgi?article=2128&context=dissertations
http://repository.cmu.edu/cgi/viewcontent.cgi?article=2128&context=dissertations
Publikováno v:
Euro-par 2009 Parallel Processing; 2009, p1-1, 1p
Autor:
Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, whi