Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Karthik, Raveendran"'
Autor:
Karthik Raveendran, Nowlan H. Freese, Chaitanya Kintali, Srishti Tiwari, Pawan Bole, Chester Dias, Ann E. Loraine
Publikováno v:
Frontiers in Bioinformatics, Vol 2 (2022)
Genomics researchers do better work when they can interactively explore and visualize data. Due to the vast size of experimental datasets, researchers are increasingly using powerful, cloud-based systems to process and analyze data. These remote syst
Externí odkaz:
https://doaj.org/article/a059c8c3432d4b32bcac5e99d25cc00b
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Autor:
Karthik, Raveendran, Nowlan H, Freese, Chaitanya, Kintali, Srishti, Tiwari, Pawan, Bole, Chester, Dias, Ann E, Loraine
Publikováno v:
Frontiers in bioinformatics. 2
Genomics researchers do better work when they can interactively explore and visualize data. Due to the vast size of experimental datasets, researchers are increasingly using powerful, cloud-based systems to process and analyze data. These remote syst
Publikováno v:
2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4).
Submersible motor is subjected to hazard problems which may harm the motor winding. The motor running in fault condition causes more mechanical damages to it. This paper proposes a cost effective, Arduino Microcontroller installed submersible motor p
Autor:
Karthik Raveendran, Nowlan H Freese, Chaitanya Kintali, Srishti Tiwari, Pawan Bole, Chester Dias, Ann E Loraine
Genomics researchers do better work when they can interactively explore and visualize data. However, due to the vast size of experimental datasets, researchers are increasingly using powerful, cloud-based systems to process and analyze data. These re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e65b9d23286561c65d70ee6eb9006911
https://doi.org/10.1101/2020.05.15.098533
https://doi.org/10.1101/2020.05.15.098533
Publikováno v:
ICCV Workshops
We propose 4 insights that help to significantly improve the performance of deep learning models that predict surface normals and semantic labels from a single RGB image. These insights are: (1) denoise the "ground truth" surface normals in the train
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbb862f2e8291da59fe366cda1e5f59f
We present a method for smoothly blending between existing liquid animations. We introduce a semi-automatic method for matching two existing liquid animations, which we use to create new fluid motion that plausibly interpolates the input. Our contrib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbf27a72be3ae5b4994b32df3e7df600
https://repository.ist.ac.at/606/
https://repository.ist.ac.at/606/
Publikováno v:
Symposium on Computer Animation
We present a new algorithm for enforcing incompressibility for Smoothed Particle Hydrodynamics (SPH) by preserving uniform density across the domain. We propose a hybrid method that uses a Poisson solve on a coarse grid to enforce a divergence free v
Publikováno v:
Proceedings of the 2009 ACM SIGGRAPH Symposium on Video Games.
In this paper, we present Art of Defense (AoD), a cooperative handheld augmented reality (AR) game. AoD is an example of what we call an AR Board Game, a class of tabletop games that combine handheld computers (such as camera phones) with physical ga
Autor:
Yin Ping Sen, I. J. P. Wijesena, Elvin Zhiwen Yio, Derek Bing Siang Tan, Roger Thomas Kok Chuen Tan, Adrian David Cheok, Karthik Raveendran, K. D. Nguyen, Roshan Lalintha Peiris
Publikováno v:
Entertainment Computing – ICEC 2007 ISBN: 9783540748724
ICEC
ICEC
Interactive media not only should enhance human-to-human communication, but also human-to-animal communication. We promote a new type of media interaction allowing human users to interact and play with their small pets (like hamsters) remotely via In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dce284561061124d659aabf7d396aa15
https://doi.org/10.1007/978-3-540-74873-1_5
https://doi.org/10.1007/978-3-540-74873-1_5