Obserwuj
Piyush Bagad
Tytuł
Cytowane przez
Cytowane przez
Rok
Cough against covid: Evidence of covid-19 signature in cough sounds
P Bagad, A Dalmia, J Doshi, A Nagrani, P Bhamare, A Mahale, S Rane, ...
arXiv preprint arXiv:2009.08790, 2020
1422020
Test of time: Instilling video-language models with a sense of time
P Bagad, M Tapaswi, CGM Snoek
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
402023
How severe is benchmark-sensitivity in video self-supervised learning?
FM Thoker, H Doughty, P Bagad, CGM Snoek
European Conference on Computer Vision, 632-652, 2022
222022
Cough against COVID: Evidence of COVID-19 signature in cough sounds. arXiv 2020
P Bagad, A Dalmia, J Doshi, A Nagrani, P Bhamare, A Mahale, S Rane, ...
arXiv preprint arXiv:2009.08790, 0
11
Cough against COVID: evidence of COVID-19 signature in cough sounds. arXiv (2020)[preprint]. doi: 10.48550
P Bagad, A Dalmia, J Doshi, A Nagrani, P Bhamare, A Mahale
arxiv, 2009
82009
C-3PO: Towards rotation equivariant feature detection and description
P Bagad, F Eijkelboom, M Fokkema, D De Goede, P Hilders, M Kofinas
European Conference on Computer Vision, 694-705, 2022
62022
Impact of data-splits on generalization: Identifying COVID-19 from cough and context
M Sharma, N Shenoy, J Doshi, P Bagad, A Dalmia, P Bhamare, A Mahale, ...
arXiv preprint arXiv:2106.03851, 2021
52021
Data-Sharing Economy: Value-Addition from Data meets Privacy
P Bagad, S Mitra, S Dhamnani, AR Sinha, R Gautam, H Khanna
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
52021
Cough against COVID: Evidence of COVID-19 signature in cough sounds. arXiv
P Bagad, A Dalmia, J Doshi, A Nagrani, P Bhamare, A Mahale, S Rane, ...
arXiv preprint arXiv:2009.08790, 2020
52020
Do Video-Language Foundation Models have a Sense of Time?
PN Bagad, M Tapaswi, CGM Snoek
ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation …, 2023
12023
The sound of water: Inferring physical properties from pouring liquids
P Bagad, M Tapaswi, CGM Snoek, A Zisserman
arXiv preprint arXiv:2411.11222, 2024
2024
NurtureNet: A Multi-task Video-based Approach for Newborn Anthropometry
Y Khandelwal, M Arvind, S Kumar, A Gupta, SK Danisetty, P Bagad, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
Facilitating generation of representative data
S Mitra, S Dhamnani, P Bagad, R Gautam, H Khanna, AR Sinha
US Patent App. 17/525,744, 2023
2023
Cooperation in Multi-Agent Societies via Agent Based Modelling
A Garg, H Karnick, P Bagad
2017
NurtureNet: A Multi-task Video-based Approach for Newborn Anthropometry SUPPLEMENTARY MATERIAL
Y Khandelwal, M Arvind, S Kumar, A Gupta, SK Danisetty, P Bagad, ...
Test of Time: Instilling Video-Language Models with a Sense of Time SUPPLEMENTARY MATERIAL
P Bagad, M Tapaswi, CGM Snoek
Reproducibility Study of “Counterfactual Generative Networks”
P Bagad, J Maas, P Hilders, D de Goede
ML Reproducibility Challenge 2021 (Fall Edition), 0
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–17