Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Erdem, Ibrahim Aykut"'
Autor:
Erdem, Ibrahim Aykut
Skeletal shape representations, in spite of their structural instabilities, have proven themselves as effective representation schemes for recognition and classification of visual shapes. They capture part structure in a compact and natural way and p
Externí odkaz:
http://etd.lib.metu.edu.tr/upload/3/12610118/index.pdf
Autor:
Erdem, Ibrahim Aykut
By the availability of today&rsquo
s inexpensive powerful hardware, it becomes possible to design real-time computer vision systems even in personal computers. Therefore, computer vision becomes a powerful tool for human-computer interaction (HC
s inexpensive powerful hardware, it becomes possible to design real-time computer vision systems even in personal computers. Therefore, computer vision becomes a powerful tool for human-computer interaction (HC
Externí odkaz:
http://etd.lib.metu.edu.tr/upload/1128776/index.pdf
Autor:
Erkut Erdem, Aykut Erdem, Menekse Kuyu, Lucia Specia, Ozan Caglayan, Pranava Madhyastha, Begum Citamak
Publikováno v:
Machine Translation
Automatic generation of video descriptions in natural language, also called video captioning, aims to understand the visual content of the video and produce a natural language sentence depicting the objects and actions in the scene. This challenging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc780e09cff4b9a107030a54e763ec1b
https://doi.org/10.1007/s10590-021-09276-y
https://doi.org/10.1007/s10590-021-09276-y
Publikováno v:
MVA
Proceedings of MVA 2021-17th International Conference on Machine Vision Applications
Proceedings of MVA 2021-17th International Conference on Machine Vision Applications
Virtual and augmented reality (VR/AR) systems dramatically gained in popularity with various application areas such as gaming, social media, and communication. It is therefore a crucial task to have the knowhow to efficiently utilize, store or delive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c13f65ee12383da479f9b12d147ccc4c
https://doi.org/10.23919/mva51890.2021.9511406
https://doi.org/10.23919/mva51890.2021.9511406
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems
Predicting saliency in videos is a challenging problem due to complex modeling of interactions between spatial and temporal information, especially when ever-changing, dynamic nature of videos is considered. Recently, researchers have proposed large-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2538744c45acaf8bf1a3b96cbf2438a6
http://arxiv.org/abs/2102.07682
http://arxiv.org/abs/2102.07682
Publikováno v:
Proceedings of the IEEE International Conference on Computer Vision
Motion is an important cue for video prediction and often utilized by separating video content into static and dynamic components. Most of the previous work utilizing motion is deterministic but there are stochastic methods that can model the inheren
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::144a1cc4011067835e3f6228c138b405
http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10569
http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10569
Autor:
Ahmet Oğuz Akyüz, Aykut Erdem, Mustafa Ege Çıklabakkal, Murat Türe, Pinar Satilmis, Erkut Erdem
Publikováno v:
Computer Graphics Forum
Image editing is a commonly studied problem in computer graphics. Despite the presence of many advanced editing tools, there is no satisfactory solution to controllably update the position of the sun using a single image. This problem is made complic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04f0fba60aad9f961c224e63609ee2bf
http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10149
http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10149
Publikováno v:
Signal Processing: Image Communication
Making sense of ever-growing amount of visual data available on the web is difficult, especially when considered in an unsupervised manner. As a step towards this goal, this study tackles a relatively less explored topic of generating structured summ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1aea9c34022b831865c05d77b1239983
http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10711
http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/10711
Autor:
Tayfun Ates, M. Ateşoğlu, Çağatay Yiğit, Ilker Kesen, Mert Kobas, Erkut Erdem, Aykut Erdem, Tilbe Goksun, Deniz Yuret
Publikováno v:
Findings of the Association for Computational Linguistics
Humans are able to perceive, understand and reason about causal events. Developing models with similar physical and causal understanding capabilities is a long-standing goal of artificial intelligence. As a step towards this direction, we introduce C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f5a211efe78296317e1312610117d2d
http://arxiv.org/abs/2012.04293
http://arxiv.org/abs/2012.04293
Publikováno v:
IEEE Transactions on Image Processing
Capturing images under extremely low-light conditions poses significant challenges for the standard camera pipeline. Images become too dark and too noisy, which makes traditional enhancement techniques almost impossible to apply. Recently, learning-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78bd532f9ecfe0e5a6edb330c841762e
http://arxiv.org/abs/2006.09845
http://arxiv.org/abs/2006.09845