Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Gokhan Ozbulak"'
Publikováno v:
SIU
Crop classification is one of the foremost and most challenging applications of remote sensing. Crops exhibit both high intra-class variance across geographical locations, as well as low inter-class variance especially across seasons. As such, they r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::974f1104a9a66e8786c51cc8f6a0fd78
https://doi.org/10.1109/siu49456.2020.9302176
https://doi.org/10.1109/siu49456.2020.9302176
Publikováno v:
2020 28th Signal Processing and Communications Applications Conference (SIU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0264b4fdb9fc0520573820e9bb7fc64d
https://doi.org/10.1109/siu49456.2020.9302443
https://doi.org/10.1109/siu49456.2020.9302443
Autor:
Erchan Aptoula, I. Yilmaz, Gokhan Ozbulak, Mumin Imamoglu, S. Aydemir, Fatih Kahraman, A. M. Sofu ve
Publikováno v:
SIU
Segmentation networks have proven to be popular tools for large scale pixel-wise remote sensing image classification as they can deal with wide spatial areas efficiently, as opposed to convolutional neural networks trained with pixel centered patches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7233d4f0465ee5384d416d80ab496b15
https://doi.org/10.1109/siu49456.2020.9302089
https://doi.org/10.1109/siu49456.2020.9302089
Autor:
Julian Fierrez, Ruben Vera-Rodriguez, Stan Z. Li, Hugo Proença, Klemen Grm, Hazim Kemal Ekenel, Joel Brogan, Zhen Lei, Andrzej Pacut, Shengcai Liao, Vitomir Struc, Luigi De Maio, Ester Gonzalez-Sosa, Weronika Gutfeter, Javier Ortega-Garcia, Hailin Shi, Hua Gao, Mark S. Nixon, Michele Nappi, Xiangyu Zhu, Walter J. Scheirer, Daniel Riccio, Gokhan Ozbulak, Esam Ghaleb
Publikováno v:
IEEE Intelligent Systems. 33:41-67
Performing covert biometric recognition in surveillance environments has been regarded as a grand challenge, considering the adversity of the conditions where recognition should be carried out (e.g., poor resolution, bad lighting, off-pose and partia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eeb0e1a55fba6debecbc9de881a23022
https://doi.org/10.1109/mis.2018.033001416
https://doi.org/10.1109/mis.2018.033001416
Autor:
Priyankar Jain, Anuj Badhwar, Prasen Kumar Sharma, Akkshita Trivedi, Ajay Pratap Singh, Chang Chen, Zhiwei Xiong, Jameer Babu Pinjari, Avinash Upadhyay, Radu Timofte, Maitreya Suin, Megh Makwana, Manish Sharma, Richard Zhang, Arijit Sur, Dong Liu, Gokhan Ozbulak, Anil Kumar Saini, A. N. Rajagopalan, Seungjun Nah, Santanu Chaudhury, S Athi Narayanan, Kuldeep Purohit, Zhan Shi
Publikováno v:
CVPR Workshops
This paper reviews the NTIRE challenge on image colorization (estimating color information from the corresponding gray image) with focus on proposed solutions and results. It is the first challenge of its kind. The challenge had 2 tracks. Track 1 tak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03682d3e89d5970da275006dab9d314c
https://doi.org/10.1109/cvprw.2019.00276
https://doi.org/10.1109/cvprw.2019.00276
Autor:
Gokhan Ozbulak
Publikováno v:
CVPR Workshops
In this paper, a simple topology of Capsule Network (CapsNet) is investigated for the problem of image colorization. The generative and segmentation capabilities of the original CapsNet topology, which is proposed for image classification problem, is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e402511d72ff6f3ba4199b5da19421ff
https://aperta.ulakbim.gov.tr/record/99787
https://aperta.ulakbim.gov.tr/record/99787
Autor:
Hazim Kemal Ekenel, Gokhan Ozbulak
Publikováno v:
SIU
In transfer learning, for a given classification task, the learning from source domain into target domain is achieved by training/transferring a pre-trained network with data from target domain. During this process, a pre-trained network is a pre-req
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::989c68f53a06bac52fe2d3439e068fb4
https://doi.org/10.1109/siu.2018.8404757
https://doi.org/10.1109/siu.2018.8404757
Publikováno v:
DSP
In this paper, a robust video copy detection system is proposed for the broadcast TV stream that is a challenging task in the wild. The proposed system extracts the signatures of video frames with Speeded-Up Robust Features (SURF) keypoints, which ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25224fd9b8b72f1dc5d8c98dd76f1ccf
https://doi.org/10.1109/icdsp.2016.7868529
https://doi.org/10.1109/icdsp.2016.7868529
Publikováno v:
BIOSIG
Age and gender are complementary soft biometric traits for face recognition. Successful estimation of age and gender from facial images taken under real-world conditions can contribute improving the identification results in the wild. In this study,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7adf53cc687fef849b6bf152955c265
https://doi.org/10.1109/biosig.2016.7736925
https://doi.org/10.1109/biosig.2016.7736925
Autor:
Muhittin Gökmen, Gokhan Ozbulak
Publikováno v:
SIU
In this paper, our corner-based interest point detector, Robust Local Zernike Moment based Features (R-LZMF), which was proved to be scale, rotation and translation-invariant, is investigated for invariance against affine transformation, lighting and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9af34bc76f9abadb6dbba40e811a9185
https://doi.org/10.1109/siu.2015.7130092
https://doi.org/10.1109/siu.2015.7130092