Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Himanshu Buckchash"'
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10677 (2024)
Global contexts in images are quite valuable in image-to-image translation problems. Conventional attention-based and graph-based models capture the global context to a large extent; however, these are computationally expensive. Moreover, existing ap
Externí odkaz:
https://doaj.org/article/fc74c422da5f40788588f3df58acbe54
Publikováno v:
IEEE Access, Vol 8, Pp 67822-67834 (2020)
This work introduces stochastic models to address the problem of complex motion generation. Long-term motion generation is the primary task in several fields; however, less work has happened in this direction and is restricted to single-person activi
Externí odkaz:
https://doaj.org/article/49a423ad62a4420f8e41b99b3c7f8aa8
Autor:
Rahul Kumar, Ridhi Arora, Vipul Bansal, Vinodh J Sahayasheela, Himanshu Buckchash, Javed Imran, Narayanan Narayanan, Ganesh N Pandian, Balasubramanian Raman
Publikováno v:
Multimedia Tools and Applications. 81:27631-27655
COVID-19 is a viral disease that in the form of a pandemic has spread in the entire world, causing a severe impact on people's well being. In fighting against this deadly disease, a pivotal step can prove to be an effective screening and diagnosing s
Autor:
Balasubramanian Raman, Vinodh J Sahayasheela, Himanshu Buckchash, Vipul Bansal, Narayanan Narayanan, Rahul Kumar, Ridhi Arora, Ganesh N. Pandian
Publikováno v:
Physical and Engineering Sciences in Medicine
According to the World Health Organization (WHO), novel coronavirus (COVID-19) is an infectious disease and has a significant social and economic impact. The main challenge in fighting against this disease is its scale. Due to the outbreak, medical f
Publikováno v:
Sn Computer Science
The sudden advent of COVID-19 pandemic left educational institutions in a difficult situation for the semester evaluation of students; especially where the online participation was difficult for the students. Such a situation may also happen during a
Publikováno v:
ICTAI
Self Supervised Learning (SSL) is the task of training a model independent of human annotations. A recent path-breaking SSL work is OpenAI's GPT-3. Very limited work has happened on SSL for Action Recognition (AR). Present SSL models either leverage
Publikováno v:
ICIP
Human motion generation is a stochastic process. The 3D motion generation task requires efficient regulation of stochasticity and a controlled approach for error-accumulation. Current generation approaches either fail to check erroramplitude or to pr
Autor:
Anirudh Gururaj Jamkhandi, Priyanka Mandikal, Jogendra Nath Kundu, Himanshu Buckchash, R. Venkatesh Babu, Rahul M
Publikováno v:
WACV
Modeling dynamics of human motion is one of the most challenging sequence modeling problem, with diverse applications in animation industry, human-robot interaction, motion-based surveillance, etc. Available attempts to use auto-regressive techniques
Publikováno v:
Multimedia Tools and Applications. 78:9511-9536
Finger spellings is a frequent form of sign-language communication used by hearing-impaired people. It is a powerful media for visual communication. Capturing sign-language modalities are often challenging due to quick compact motion of fingers. Othe
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030348687
PReMI (1)
PReMI (1)
Self-Supervised Pretraining (SSP) has been shown to boost performance for video related tasks such as action recognition and pose estimation. It captures important spatiotemporal constraints which act as an implicit regularizer. This work seeks to le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e41ae3c0337d1c6a6cd8c6b1c9ae75a
https://doi.org/10.1007/978-3-030-34869-4_16
https://doi.org/10.1007/978-3-030-34869-4_16