Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Supheakmungkol Sarin"'
Autor:
Julia Kreutzer, Isaac Caswell, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, Monang Setyawan, Supheakmungkol Sarin, Sokhar Samb, Benoît Sagot, Clara Rivera, Annette Rios, Isabel Papadimitriou, Salomey Osei, Pedro Ortiz Suarez, Iroro Orife, Kelechi Ogueji, Andre Niyongabo Rubungo, Toan Q. Nguyen, Mathias Müller, André Müller, Shamsuddeen Hassan Muhammad, Nanda Muhammad, Ayanda Mnyakeni, Jamshidbek Mirzakhalov, Tapiwanashe Matangira, Colin Leong, Nze Lawson, Sneha Kudugunta, Yacine Jernite, Mathias Jenny, Orhan Firat, Bonaventure F. P. Dossou, Sakhile Dlamini, Nisansa de Silva, Sakine Çabuk Ballı, Stella Biderman, Alessia Battisti, Ahmed Baruwa, Ankur Bapna, Pallavi Baljekar, Israel Abebe Azime, Ayodele Awokoya, Duygu Ataman, Orevaoghene Ahia, Oghenefego Ahia, Sweta Agrawal, Mofetoluwa Adeyemi
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 10 (2023)
Externí odkaz:
https://doaj.org/article/183709a1b69d42379e0bf5e2c5ba1497
Publikováno v:
SLTU
Autor:
Supheakmungkol Sarin, Knot Pipatsrisawat, Keshan Sodimana, Pasindu De Silva, Martin Jansche, Oddur Kjartansson, Linne Ha
Publikováno v:
SLTU
Publikováno v:
Journal of Information Processing. 20:250-266
In this era of information explosion, automating the annotation process of digital images is a crucial step towards efficient and effective management of this increasingly high volume of content. However, this still is a highly challenging task for t
Publikováno v:
MUE
Automating the annotation process of digital images is a crucial step towards efficient and effective management of this increasingly high volume of content. It is, nevertheless, an extremely challenging task for the research community. One of the ma
Autor:
Wataru Kameyama, Supheakmungkol Sarin
Publikováno v:
ACM Multimedia
We are interested in high quality photographs. This paper outlines our research proposal for the tasks of classification and quality assessment. We address these challenges by exploring the aesthetics from the combined perspectives of the artists and
Autor:
Supheakmungkol Sarin, Wataru Kameyama
Publikováno v:
Electronic Workshops in Computing.
In this paper, we propose to utilize contextual camera setting parameters at the time of capture to perform the classification task of high quality photographs. With supervised machine learning algorithm, we build a model that can classify high quali
Publikováno v:
Advances in Multimedia, Vol 2008 (2008)
Publikováno v:
ICME
Annotation is the core item to enable efficient access to media. Thus, automatic annotation is a highly challenging problem. We present a novel solution to personal digital photograph annotation problem which annotates photo based on users' personal,
Publikováno v:
The 9th International Conference on Advanced Communication Technology.
The advancements of technology have been making digital cameras more and more affordable for everyone. Consequently, digital photographs have grown exponentially this last decade and have been making it beyond the abilities of people to easily manage