Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Ates, Hasan F."'
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
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
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
Wide area surveillance has many applications and tracking of objects under observation is an important task, which often needs high spatio-temporal resolution (HSTR) video for better precision. This paper presents the usage of multiple video feeds fo
Externí odkaz:
http://arxiv.org/abs/2204.04435
It is expected that unmanned aerial vehicles (UAVs) will play a vital role in future communication systems. Optimum positioning of UAVs, serving as base stations, can be done through extensive field measurements or ray tracing simulations when the 3D
Externí odkaz:
http://arxiv.org/abs/2112.14551
Wide Area Motion Imagery (WAMI) yields high-resolution images with a large number of extremely small objects. Target objects have large spatial displacements throughout consecutive frames. This nature of WAMI images makes object tracking and detectio
Externí odkaz:
http://arxiv.org/abs/2110.09881
Publikováno v:
In Computer Vision and Image Understanding August 2023 233
Autor:
Ates, Hasan F., Sunetci, Sercan
Publikováno v:
Pattern Recog. Letters, 117 (2019) 104-110
Semantic segmentation (i.e. image parsing) aims to annotate each image pixel with its corresponding semantic class label. Spatially consistent labeling of the image requires an accurate description and modeling of the local contextual information. Se
Externí odkaz:
http://arxiv.org/abs/1812.05850
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