Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Akkshita Trivedi"'
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811941351
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::044206d32e3bc559215c5fdc552ef038
https://doi.org/10.1007/978-981-19-4136-8_10
https://doi.org/10.1007/978-981-19-4136-8_10
Autor:
Megh Makwana, Anil Kumar Saini, Ajay Kumar Singh, Avinash Upadhyay, Manoj Sharma, Santanu Chaudhury, Anupama Ray, Akkshita Trivedi
Publikováno v:
ICDAR
Recognizing text from degraded and low-resolution document images is still an open challenge in the vision community. Existing text recognition systems require a certain resolution and fails if the document is of low-resolution or heavily degraded or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::085350bf06ad39f47b51c14e6b12e129
https://doi.org/10.1109/icdar.2019.00019
https://doi.org/10.1109/icdar.2019.00019
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