Zobrazeno 1 - 10
of 23 879
pro vyhledávání: '"Ateş A."'
Unsupervised Domain Adaptation (UDA) aims to utilize labeled data from a source domain to solve tasks in an unlabeled target domain, often hindered by significant domain gaps. Traditional CNN-based methods struggle to fully capture complex domain rel
Externí odkaz:
http://arxiv.org/abs/2412.04073
XPoint: A Self-Supervised Visual-State-Space based Architecture for Multispectral Image Registration
Accurate multispectral image matching presents significant challenges due to non-linear intensity variations across spectral modalities, extreme viewpoint changes, and the scarcity of labeled datasets. Current state-of-the-art methods are typically s
Externí odkaz:
http://arxiv.org/abs/2411.07430
With the emergence of wireless sensor networks (WSNs), many traditional signal processing tasks are required to be computed in a distributed fashion, without transmissions of the raw data to a centralized processing unit, due to the limited energy an
Externí odkaz:
http://arxiv.org/abs/2410.19112
Autor:
Çakan, Aslı, Cholsuk, Chanaprom, Gale, Angus, Kianinia, Mehran, Paçal, Serkan, Ateş, Serkan, Aharonovich, Igor, Toth, Milos, Vogl, Tobias
Hexagonal boron nitride (hBN) has emerged as a compelling platform for both classical and quantum technologies. In particular, the past decade has witnessed a surge of novel ideas and developments, which may be overwhelming for newcomers to the field
Externí odkaz:
http://arxiv.org/abs/2410.07712
MoXI is a new intermediate verification language introduced in 2024 to promote the standardization and open-source implementations for symbolic model checking by extending the SMT-LIB 2 language with constructs to define state-transition systems. The
Externí odkaz:
http://arxiv.org/abs/2407.15551
Publikováno v:
Computer Vision and Image Understanding, Volume 233, 2023, 103718
Blind single image super-resolution (SISR) is a challenging task in image processing due to the ill-posed nature of the inverse problem. Complex degradations present in real life images make it difficult to solve this problem using na\"ive deep learn
Externí odkaz:
http://arxiv.org/abs/2404.16564
Autor:
Moniz, Joel Ruben Antony, Krishnan, Soundarya, Ozyildirim, Melis, Saraf, Prathamesh, Ates, Halim Cagri, Zhang, Yuan, Yu, Hong
Reference resolution is an important problem, one that is essential to understand and successfully handle context of different kinds. This context includes both previous turns and context that pertains to non-conversational entities, such as entities
Externí odkaz:
http://arxiv.org/abs/2403.20329
Publikováno v:
International Journal of Entrepreneurial Behavior & Research, 2024, Vol. 30, Issue 11, pp. 306-330.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJEBR-01-2024-0067
Autor:
Ates, Halim Cagri, Bhargava, Shruti, Li, Site, Lu, Jiarui, Maddula, Siddhardha, Moniz, Joel Ruben Antony, Nalamalapu, Anil Kumar, Nguyen, Roman Hoang, Ozyildirim, Melis, Patel, Alkesh, Piraviperumal, Dhivya, Renkens, Vincent, Samal, Ankit, Tran, Thy, Tseng, Bo-Hsiang, Yu, Hong, Zhang, Yuan, Zou, Rong
Successfully handling context is essential for any dialog understanding task. This context maybe be conversational (relying on previous user queries or system responses), visual (relying on what the user sees, for example, on their screen), or backgr
Externí odkaz:
http://arxiv.org/abs/2311.01650
High-spatio-temporal resolution (HSTR) video recording plays a crucial role in enhancing various imagery tasks that require fine-detailed information. State-of-the-art cameras provide this required high frame-rate and high spatial resolution together
Externí odkaz:
http://arxiv.org/abs/2310.12092