Zobrazeno 1 - 10
of 8 199
pro vyhledávání: '"Suin A"'
Autor:
Ito, Kei, Tanaka, Takumi S., Shimasaku, Kazuhiro, Ando, Makoto, Onoue, Masafusa, Tanaka, Masayuki, Matsui, Suin, Kakimoto, Takumi, Valentino, Francesco
We report a characterization of an X-ray-detected quiescent galaxy at $z=2.09$, named COS-XQG1, using JWST/NIRCam and NIRSpec data. This galaxy is detected in Chandra imaging, suggesting the presence of an AGN with a high black hole accretion rate of
Externí odkaz:
http://arxiv.org/abs/2408.08492
This paper tackles the problem of motion deblurring of dynamic scenes. Although end-to-end fully convolutional designs have recently advanced the state-of-the-art in non-uniform motion deblurring, their performance-complexity trade-off is still sub-o
Externí odkaz:
http://arxiv.org/abs/2402.06117
Autor:
Suin, Maitreya, Chellappa, Rama
Recent generative-prior-based methods have shown promising blind face restoration performance. They usually project the degraded images to the latent space and then decode high-quality faces either by single-stage latent optimization or directly from
Externí odkaz:
http://arxiv.org/abs/2402.06106
Publikováno v:
MNRAS, Volume 529, Issue 2, April 2024, Pages 926-940
With an X-ray stacking analysis of ~ 12, 000 Lyman-break galaxies (LBGs) using the Chandra Legacy Survey image, we investigate average supermassive black hole (SMBH) accretion properties of star-forming galaxies (SFGs) at 4 <~ z <~ 7. Although no X-r
Externí odkaz:
http://arxiv.org/abs/2312.13651
To apply the latest computer vision techniques that require a large computational cost in real industrial applications, knowledge distillation methods (KDs) are essential. Existing logit-based KDs apply the constant temperature scaling to all samples
Externí odkaz:
http://arxiv.org/abs/2311.14334
Previous logits-based Knowledge Distillation (KD) have utilized predictions about multiple categories within each sample (i.e., class predictions) and have employed Kullback-Leibler (KL) divergence to reduce the discrepancy between the student and te
Externí odkaz:
http://arxiv.org/abs/2311.14307
Diffusion models have advanced generative AI significantly in terms of editing and creating naturalistic images. However, efficiently improving generated image quality is still of paramount interest. In this context, we propose a generic "naturalness
Externí odkaz:
http://arxiv.org/abs/2311.09753
Publikováno v:
Legume Research: An International Journal. Aug2024, Vol. 47 Issue 8, p1360-1365. 6p.
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Microtubules are dynamic filaments that assemble spindles for eukaryotic cell division. As the concentration profiles of soluble tubulin and regulatory proteins are non-uniform during spindle assembly, we asked if diffusiophoresis - motion o
Externí odkaz:
https://doaj.org/article/1289da6c4854476a9599cb382fc19301
Autor:
Deming Li, Shruti Hegde, Aravind Sunil Kumar, Atul Zacharias, Parthvi Mehta, Venkat Mukthineni, Satwik Srimath, Sunny Patel, Maitreya Suin, Rama Chellappa, Soumyadipta Acharya
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Malaria is a major public health concern, causing significant morbidity and mortality globally. Monitoring the local population density and diversity of the vectors transmitting malaria is critical to implementing targeted control strategies
Externí odkaz:
https://doaj.org/article/b035a1864d704c059648703a9188f419