Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kranthi Kumar Rachavarapu"'
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::329199fa74f2f3b6c366f8eae4d6b365
https://doi.org/10.1109/iccv48922.2021.00194
https://doi.org/10.1109/iccv48922.2021.00194
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 30
Light Field (LF) offers unique advantages such as post-capture refocusing and depth estimation, but low-light conditions limit these capabilities. To restore low-light LFs we should harness the geometric cues present in different LF views, which is n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::321ede0e412b8b6fd435e5388f15e43c
https://pubmed.ncbi.nlm.nih.gov/33360991
https://pubmed.ncbi.nlm.nih.gov/33360991
We present a novel approach to optimally retarget videos for varied displays with differing aspect ratios by preserving salient scene content discovered via eye tracking. Our algorithm performs editing with cut, pan and zoom operations by optimizing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2df135f97c1a84c200b042b3747e71ab
Autor:
Kranthi Kumar Rachavarapu, Parabhaker Reddy Ravula, Sowmya Charugundla, Anjumara Shaik, Anil Kumar Vadathya, Chakravarthi Jada
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319230351
This paper presents a novel swarm intelligence algorithm named as Butterfly Mating Optimization (BMO) which is based on the mating phenomena occurring in butterflies. The BMO algorithm is developed with novel concept of dynamic local mate selection p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9cdcc6956599c5b3ee2625e41dfbc59
https://doi.org/10.1007/978-3-319-23036-8_1
https://doi.org/10.1007/978-3-319-23036-8_1
Autor:
Harish Yenala, Anil Kumar Vadathya, Irfan Feroz Gramoni Mohammed, Kranthi Kumar Rachavarapu, Chakravarthi Jada
Publikováno v:
Swarm, Evolutionary, and Memetic Computing ISBN: 9783319202938
SEMCCO
SEMCCO
ROBOG: The Robo-Guide is an autonomously navigating vehicle capable of learning the navigational directions of a locality by using Artificial Neural Networks. The main task of ROBOG is to guide people from one location to any other location in a trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::510ddf27ad1cb426e4ad2dbd7a0141d2
https://doi.org/10.1007/978-3-319-20294-5_70
https://doi.org/10.1007/978-3-319-20294-5_70
Autor:
S. N. Omkar, Chakravarhi Jada, Harish Yenala, Naveen Kumar Chittipolu, Kranthi Kumar Rachavarapu
Publikováno v:
IndraStra Global.
This paper explains the algorithm of Modified Roaming Optimization (MRO) for capturing the multiple optima for multimodal functions. There are some similarities between the Roaming Optimization (RO) and MRO algorithms, but the MRO algorithm is create
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a74ef74f3da753efa3ab5771da29fc74
http://eprints.iisc.ac.in/48533/1/Emer_Appli_Infor_Tech_56_2012.pdf
http://eprints.iisc.ac.in/48533/1/Emer_Appli_Infor_Tech_56_2012.pdf