Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Kumar Pulkit"'
Autor:
Kumar Pulkit, Yadav Dinesh, Salaam Ahmed, Devi P. Srividya, V Asha, Nijhawan Ginni, Nagaraju S.
Publikováno v:
E3S Web of Conferences, Vol 552, p 01093 (2024)
The development of green manufacturing (GM) is a key approach to handle industrial challenges to the environment while advancing sustainable economic improvement. This paper profoundly discusses about GM’s standards, challenges, opportunities and c
Externí odkaz:
https://doaj.org/article/df25fff25e5b468d9674224bc7257203
We propose a simple yet effective approach for few-shot action recognition, emphasizing the disentanglement of motion and appearance representations. By harnessing recent progress in tracking, specifically point trajectories and self-supervised repre
Externí odkaz:
http://arxiv.org/abs/2407.18249
Autor:
Padmanabhan, Namitha, Gwilliam, Matthew, Kumar, Pulkit, Maiya, Shishira R, Ehrlich, Max, Shrivastava, Abhinav
The many variations of Implicit Neural Representations (INRs), where a neural network is trained as a continuous representation of a signal, have tremendous practical utility for downstream tasks including novel view synthesis, video compression, and
Externí odkaz:
http://arxiv.org/abs/2401.10217
Publikováno v:
In International Journal of Non-Linear Mechanics April 2024 160
Autor:
Kumar, Pulkit, Channi, Harpreet Kaur, Kumar, Raman, Prakash, Chander, Bhowmik, Abhijit, Pandey, Shatrudhan, Singh, Abhishek Kumar, Ali, Muhammad Mahmood, Soudagar, Manzoore Elahi M.
Publikováno v:
In Materials Science for Energy Technologies 2024 7:297-308
Continuous Speech Keyword Spotting (CSKS) is the problem of spotting keywords in recorded conversations, when a small number of instances of keywords are available in training data. Unlike the more common Keyword Spotting, where an algorithm needs to
Externí odkaz:
http://arxiv.org/abs/1901.03860
Publikováno v:
In Propulsion and Power Research June 2023 12(2):273-283
Publikováno v:
In Materials Today: Proceedings 2023 91 Part 2:27-32
Acute lymphoblastic leukemia (ALL) constitutes approximately 25% of the pediatric cancers. In general, the task of identifying immature leukemic blasts from normal cells under the microscope is challenging because morphologically the images of the tw
Externí odkaz:
http://arxiv.org/abs/1810.07961
Automated brain tissue segmentation into white matter (WM), gray matter (GM), and cerebro-spinal fluid (CSF) from magnetic resonance images (MRI) is helpful in the diagnosis of neuro-disorders such as epilepsy, Alzheimer's, multiple sclerosis, etc. H
Externí odkaz:
http://arxiv.org/abs/1806.04429