Zobrazeno 1 - 10
of 139
pro vyhledávání: '"Jain, Siddhant"'
Autor:
Jain, Siddhant, Watson, Daniel, Tabellion, Eric, Hołyński, Aleksander, Poole, Ben, Kontkanen, Janne
We present VIDIM, a generative model for video interpolation, which creates short videos given a start and end frame. In order to achieve high fidelity and generate motions unseen in the input data, VIDIM uses cascaded diffusion models to first gener
Externí odkaz:
http://arxiv.org/abs/2404.01203
Autor:
Roy, Durbar, M, Sophia, Dewangan, Kush K, Rasheed, Abdur, Jain, Siddhant, Singh, Anmol, Chakravortty, Dipshikha, Basu, Saptarshi
We study the mechanics of evaporation and precipitate formation in pure and bacteria-laden sessile blood droplets in the context of precipitate patterns as a disease diagnostics marker. Using optical diagnostics, theoretical analysis, and micro/nano-
Externí odkaz:
http://arxiv.org/abs/2402.12334
Experiments are performed to investigate the interaction of a vortex ring (Reynolds number based on circulation (Re_Gamma = 10500) with perforated surface (open area ratio, phi_1 = 0.24 and phi_2 = 0.44) with different included angles (theta = 60deg-
Externí odkaz:
http://arxiv.org/abs/2401.07032
Bubbles have always captivated our curiosity with their aesthetics and complexities alike. While the act of blowing bubbles is familiar to everyone, the underlying physics of these fleeting spheres often eludes reasoning. In this letter, we discuss t
Externí odkaz:
http://arxiv.org/abs/2401.07027
Publikováno v:
In Journal of Colloid And Interface Science 15 November 2024 674:653-662
Autor:
Rao, M Srinivasa, Mullasari, Ajit, Hiremath, Jagdish S., Sengottuvelu, G., Jaiswal, Aparna, Jhala, Darshan, Makkar, Jitendra Singh, Kalmath, B.C., Benjamin, Bino, Dharmadhikari, Annirudha, Tanna, Mihir, Khan, Aziz, Jain, Siddhant, Sambasivam, K.A., Purnanand, A., Raju, N S Rama, Sarkar, Goutam, Prajapati, Hiren, verberk, Willem J.
Publikováno v:
In Indian Heart Journal May-June 2024 76(3):218-220
Publikováno v:
CAAI Trans. Intell. Technol. 6(3), 265-280 (2021)
The problem of automatic and accurate forecasting of time-series data has always been an interesting challenge for the machine learning and forecasting community. A majority of the real-world time-series problems have non-stationary characteristics t
Externí odkaz:
http://arxiv.org/abs/1911.06704
We propose a point cloud annotation framework that employs human-in-loop learning to enable the creation of large point cloud datasets with per-point annotations. Sparse labels from a human annotator are iteratively propagated to generate a full segm
Externí odkaz:
http://arxiv.org/abs/1906.04409
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The ability to accurately classify disease subtypes is of vital importance, especially in oncology where this capability could have a life saving impact. Here we report a classification between two subtypes of non-small cell lung cancer, namely Adeno
Externí odkaz:
http://arxiv.org/abs/1810.11959