Zobrazeno 1 - 10
of 466
pro vyhledávání: '"Aydin Alatan"'
Autor:
Mustafa Kutuk, Izlen Geneci, Okan Bilge Ozdemir, Alper Koz, Okan Esenturk, Yasemin Yardimci Cetin, A. Aydin Alatan
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8747-8763 (2023)
Explosive detection is crucial for public safety and confidence. Among various solutions for this purpose, hyperspectral imaging differs from its alternatives with its detection capability from standoff distances. However, the state-of-the-art for su
Externí odkaz:
https://doaj.org/article/be8c2c83451f4e64abdae50de3ad86a2
Publikováno v:
IET Computer Vision, Vol 12, Iss 8, Pp 1121-1132 (2018)
Recent advances in large‐scale image and video analysis have empowered the potential capabilities of visual surveillance systems. In particular, deep learning‐based approaches bring in substantial benefits in solving certain computer vision probl
Externí odkaz:
https://doaj.org/article/6935e6e212764a508192d4c63b965c70
Autor:
Mustafa Ergul, Aydin Alatan
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP).
Autor:
Emrah Tasli, H., Aydin Alatan, A.
Publikováno v:
In Signal Processing: Image Communication November 2013 28(10):1374-1389
Autor:
İSMAİL HAKKI KOÇDEMİR, Alper Koz, Ahmet Oguz Akyuz, Alan Chalmers, Aydin Alatan, Sinan Kalkan
Publikováno v:
SSRN Electronic Journal.
Autor:
Alper Koz, Baris Demirkilic, Yunus Bilge Kurt, Ahmet Oguz Akyuz, Sinan Kalkan, A. Aydin Alatan, Alan Chalmers
Publikováno v:
2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP).
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
We propose a semi-automatic bounding box annotation method for visual object tracking by utilizing temporal information with a tracking-by-detection approach. For detection, we use an off-the-shelf object detector which is trained iteratively with th
Autor:
A. Aydin Alatan, Kaan Karaman
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
CVPR Workshops
A novel image matching method is proposed that utilizes learned features extracted by an off-the-shelf deep neural network to obtain a promising performance. The proposed method uses pre-trained VGG architecture as a feature extractor and does not re