Zobrazeno 1 - 10
of 7 082
pro vyhledávání: '"Matei, P."'
Autor:
Benkedadra, Mohamed, Rimez, Dany, Godelaine, Tiffanie, Chidambaram, Natarajan, Khosroshahi, Hamed Razavi, Tellez, Horacio, Mancas, Matei, Macq, Benoit, Mahmoudi, Sidi Ahmed
Publikováno v:
2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR) 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR) 10.1109/MIPR62202.2024
Computer vision tasks such as object detection and segmentation rely on the availability of extensive, accurately annotated datasets. In this work, We present CIA, a modular pipeline, for (1) generating synthetic images for dataset augmentation using
Externí odkaz:
http://arxiv.org/abs/2411.16128
Autor:
Coiculescu, Matei P.
We prove that the stationary power-law vortex $\overline{\omega}(x) = \beta |x|^{-\alpha}$, which explicitly solves the incompressible Euler equations in $\mathbb{R}^2$, is linearly stable in self-similar coordinates with the natural scaling.
Co
Co
Externí odkaz:
http://arxiv.org/abs/2411.13397
Autor:
Jacob, Mathew, Lindgren, Erik, Zaharia, Matei, Carbin, Michael, Khattab, Omar, Drozdov, Andrew
Rerankers, typically cross-encoders, are often used to re-score the documents retrieved by cheaper initial IR systems. This is because, though expensive, rerankers are assumed to be more effective. We challenge this assumption by measuring reranker p
Externí odkaz:
http://arxiv.org/abs/2411.11767
Autor:
Cao, Shiyi, Liu, Shu, Griggs, Tyler, Schafhalter, Peter, Liu, Xiaoxuan, Sheng, Ying, Gonzalez, Joseph E., Zaharia, Matei, Stoica, Ion
Efficient deployment of large language models, particularly Mixture of Experts (MoE), on resource-constrained platforms presents significant challenges, especially in terms of computational efficiency and memory utilization. The MoE architecture, ren
Externí odkaz:
http://arxiv.org/abs/2411.11217
Retrieval Augmented Generation (RAG) has emerged as a crucial technique for enhancing the accuracy of Large Language Models (LLMs) by incorporating external information. With the advent of LLMs that support increasingly longer context lengths, there
Externí odkaz:
http://arxiv.org/abs/2411.03538
Autor:
Zangene, Farzane, Radulescu, Matei I.
This study investigates the role of two inert mono-atomic diluents, argon and helium, on the detonation structure in order to assess the importance of vibrational non-equilibrium and wall losses. When relaxation effects and wall losses are neglected,
Externí odkaz:
http://arxiv.org/abs/2410.17561
Efficient video tokenization remains a key bottleneck in learning general purpose vision models that are capable of processing long video sequences. Prevailing approaches are restricted to encoding videos to a fixed number of tokens, where too few to
Externí odkaz:
http://arxiv.org/abs/2410.08368
Force/torque sensing is an important modality for robotic manipulation, but commodity solutions, generally developed with other applications in mind, do not generally fit the needs of robot hands. This paper introduces a novel method for six-axis for
Externí odkaz:
http://arxiv.org/abs/2410.03481
The upconversion process for the $Er^{3+}$ ion, when irradiated with IR photons at 980 nm, strongly depends upon the presence of the sensitizer $Yb^{3+}$ ions. There are many studies analyzing the properties of the upconversion process for various cr
Externí odkaz:
http://arxiv.org/abs/2410.02177
Autor:
Matei, Vlad-Cristian, Tăiatu, Iulian-Marius, Smădu, Răzvan-Alexandru, Cercel, Dumitru-Clementin
This paper highlights the significance of natural language processing (NLP) within artificial intelligence, underscoring its pivotal role in comprehending and modeling human language. Recent advancements in NLP, particularly in conversational bots, h
Externí odkaz:
http://arxiv.org/abs/2409.20498