Zobrazeno 1 - 10
of 284
pro vyhledávání: '"Bärmann, P."'
Autor:
Bärmann, Leonard, DeChant, Chad, Plewnia, Joana, Peller-Konrad, Fabian, Bauer, Daniel, Asfour, Tamim, Waibel, Alex
Verbalization of robot experience, i.e., summarization of and question answering about a robot's past, is a crucial ability for improving human-robot interaction. Previous works applied rule-based systems or fine-tuned deep models to verbalize short
Externí odkaz:
http://arxiv.org/abs/2409.17702
Autor:
Dinh, Tu Anh, Mullov, Carlos, Bärmann, Leonard, Li, Zhaolin, Liu, Danni, Reiß, Simon, Lee, Jueun, Lerzer, Nathan, Ternava, Fabian, Gao, Jianfeng, Röddiger, Tobias, Waibel, Alexander, Asfour, Tamim, Beigl, Michael, Stiefelhagen, Rainer, Dachsbacher, Carsten, Böhm, Klemens, Niehues, Jan
With the rapid development of Large Language Models (LLMs), it is crucial to have benchmarks which can evaluate the ability of LLMs on different domains. One common use of LLMs is performing tasks on scientific topics, such as writing algorithms, que
Externí odkaz:
http://arxiv.org/abs/2406.10421
Autor:
Yaman, Dogucan, Eyiokur, Fevziye Irem, Bärmann, Leonard, Aktı, Seymanur, Ekenel, Hazım Kemal, Waibel, Alexander
In the task of talking face generation, the objective is to generate a face video with lips synchronized to the corresponding audio while preserving visual details and identity information. Current methods face the challenge of learning accurate lip
Externí odkaz:
http://arxiv.org/abs/2405.04327
Autor:
Bärmann, Leonard, Kartmann, Rainer, Peller-Konrad, Fabian, Niehues, Jan, Waibel, Alex, Asfour, Tamim
Publikováno v:
Frontiers in Robotics and AI, Volume 11 - 2024
Natural-language dialog is key for intuitive human-robot interaction. It can be used not only to express humans' intents, but also to communicate instructions for improvement if a robot does not understand a command correctly. Of great importance is
Externí odkaz:
http://arxiv.org/abs/2309.04316
Autor:
Yaman, Dogucan, Eyiokur, Fevziye Irem, Bärmann, Leonard, Ekenel, Hazim Kemal, Waibel, Alexander
Talking face generation aims to create realistic videos with accurate lip synchronization and high visual quality, using given audio and reference video while preserving identity and visual characteristics. In this paper, we start by identifying seve
Externí odkaz:
http://arxiv.org/abs/2307.09368
Autor:
Aigner, Kevin-Martin, Bärmann, Andreas, Braun, Kristin, Liers, Frauke, Pokutta, Sebastian, Schneider, Oskar, Sharma, Kartikey, Tschuppik, Sebastian
Stochastic Optimization (SO) is a classical approach for optimization under uncertainty that typically requires knowledge about the probability distribution of uncertain parameters. As the latter is often unknown, Distributionally Robust Optimization
Externí odkaz:
http://arxiv.org/abs/2304.05377
Autor:
Leonard Bärmann, Rainer Kartmann, Fabian Peller-Konrad, Jan Niehues, Alex Waibel, Tamim Asfour
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Natural-language dialog is key for an intuitive human–robot interaction. It can be used not only to express humans’ intents but also to communicate instructions for improvement if a robot does not understand a command correctly. It is of great im
Externí odkaz:
https://doaj.org/article/a6a2b07d4fda44f2915ba8c3cd703fac
We study mixed-integer programming (MIP) relaxation techniques for the solution of non convex mixed-integer quadratically constrained quadratic programs (MIQCQPs). We present MIP relaxation methods for non convex continuous variable products. In Part
Externí odkaz:
http://arxiv.org/abs/2211.00876
In this work we propose a high-quality decomposition approach for qubit routing by swap insertion. This optimization problem arises in the context of compiling quantum algorithms onto specific quantum hardware. Our approach decomposes the routing pro
Externí odkaz:
http://arxiv.org/abs/2206.01294
Autor:
Bärmann, Andreas, Schneider, Oskar
Publikováno v:
Math. Program. (2021)
In the present work, we consider Zuckerberg's method for geometric convex-hull proofs introduced in [Geometric proofs for convex hull defining formulations, Operations Research Letters 44(5), 625-629 (2016)]. It has only been scarcely adopted in the
Externí odkaz:
http://arxiv.org/abs/2101.09267