Zobrazeno 1 - 10
of 3 411
pro vyhledávání: '"P. Ayca"'
Spiking Neural Networks (SNNs) are biologically-inspired deep neural networks that efficiently extract temporal information while offering promising gains in terms of energy efficiency and latency when deployed on neuromorphic devices. However, SNN m
Externí odkaz:
http://arxiv.org/abs/2411.04760
Autor:
Takmaz, Ayca, Delitzas, Alexandros, Sumner, Robert W., Engelmann, Francis, Wald, Johanna, Tombari, Federico
Open-vocabulary 3D segmentation enables the exploration of 3D spaces using free-form text descriptions. Existing methods for open-vocabulary 3D instance segmentation primarily focus on identifying object-level instances in a scene. However, they face
Externí odkaz:
http://arxiv.org/abs/2409.18431
Autor:
Seidlitz, Silvia, Hölzl, Katharina, von Garrel, Ayca, Sellner, Jan, Katzenschlager, Stephan, Hölle, Tobias, Fischer, Dania, von der Forst, Maik, Schmitt, Felix C. F., Weigand, Markus A., Maier-Hein, Lena, Dietrich, Maximilian
With sepsis remaining a leading cause of mortality, early identification of septic patients and those at high risk of death is a challenge of high socioeconomic importance. The driving hypothesis of this study was that hyperspectral imaging (HSI) cou
Externí odkaz:
http://arxiv.org/abs/2408.09873
Autor:
Mazzucato, Camilla, Coscia, Michele, Doğu, Ayça Küçükakdağ, Haddow, Scott, Kılıç, Muhammed Sıddık, Yüncü, Eren, Somel, Mehmet
Recent advances in archaeogenomics have granted access to previously unavailable biological information with the potential to further our understanding of past social dynamics at a range of scales. However, to properly integrate these data within arc
Externí odkaz:
http://arxiv.org/abs/2406.19149
Autor:
Engelmann, Francis, Takmaz, Ayca, Schult, Jonas, Fedele, Elisabetta, Wald, Johanna, Peng, Songyou, Wang, Xi, Litany, Or, Tang, Siyu, Tombari, Federico, Pollefeys, Marc, Guibas, Leonidas, Tian, Hongbo, Wang, Chunjie, Yan, Xiaosheng, Wang, Bingwen, Zhang, Xuanyang, Liu, Xiao, Nguyen, Phuc, Nguyen, Khoi, Tran, Anh, Pham, Cuong, Huang, Zhening, Wu, Xiaoyang, Chen, Xi, Zhao, Hengshuang, Zhu, Lei, Lasenby, Joan
This report provides an overview of the challenge hosted at the OpenSUN3D Workshop on Open-Vocabulary 3D Scene Understanding held in conjunction with ICCV 2023. The goal of this workshop series is to provide a platform for exploration and discussion
Externí odkaz:
http://arxiv.org/abs/2402.15321
Autor:
Huang, Rui, Peng, Songyou, Takmaz, Ayca, Tombari, Federico, Pollefeys, Marc, Song, Shiji, Huang, Gao, Engelmann, Francis
Current 3D scene segmentation methods are heavily dependent on manually annotated 3D training datasets. Such manual annotations are labor-intensive, and often lack fine-grained details. Importantly, models trained on this data typically struggle to r
Externí odkaz:
http://arxiv.org/abs/2312.17232
We consider estimation under scenarios where the signals of interest exhibit change of characteristics over time. In particular, we consider the continual learning problem where different tasks, e.g., data with different distributions, arrive sequent
Externí odkaz:
http://arxiv.org/abs/2312.01795
Imitation learning is an effective approach for training game-playing agents and, consequently, for efficient game production. However, generalization - the ability to perform well in related but unseen scenarios - is an essential requirement that re
Externí odkaz:
http://arxiv.org/abs/2309.12815
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The present study aimed to characterize the changes in macromolecular composition and structure in ileal tissue induced by postoperative prolonged starvation (PS), human breast milk feeding (HM) and commercial formula feeding (CF) for 48 and
Externí odkaz:
https://doaj.org/article/642490fb3ee342b68f12ffce0bd360b8
Autor:
Tahir Atik, Enise Avci Durmusalioglu, Esra Isik, Melis Kose, Seda Kanmaz, Ayca Aykut, Asude Durmaz, Ferda Ozkinay, Ozgur Cogulu
Publikováno v:
BMC Medical Genomics, Vol 17, Iss 1, Pp 1-9 (2024)
Abstract Next-generation sequencing (NGS) coupled with bioinformatic tools has revolutionized the detection of copy number variations (CNVs), which are implicated in the emergence of Mendelian disorders. In this study, we evaluated the diagnostic yie
Externí odkaz:
https://doaj.org/article/a0421072dfa4463f9a6101d635380e82