Zobrazeno 1 - 10
of 8 074
pro vyhledávání: '"Patel, P. . m."'
Autor:
Kashav, Monal, Patel, Ketan M.
We explore the implications of symmetries that remain unbroken at the self-dual point $\tau=i$ in modular invariant theories. Assuming that (a) the three generations of lepton doublets transform as an irreducible representation of a finite modular gr
Externí odkaz:
http://arxiv.org/abs/2410.00565
Autor:
Korkmaz, Yilmaz, Patel, Vishal M.
Magnetic Resonance Imaging (MRI) is one of the most important medical imaging modalities as it provides superior resolution of soft tissues, albeit with a notable limitation in scanning speed. The advent of deep learning has catalyzed the development
Externí odkaz:
http://arxiv.org/abs/2409.12401
Autor:
Korkmaz, Yilmaz, Patel, Vishal M.
Unpaired image-to-image translation is a challenging task due to the absence of paired examples, which complicates learning the complex mappings between the distinct distributions of the source and target domains. One of the most commonly used approa
Externí odkaz:
http://arxiv.org/abs/2409.12399
All-Weather Image Restoration (AWIR) under adverse weather conditions is a challenging task due to the presence of different types of degradations. Prior research in this domain relies on extensive training data but lacks the utilization of additiona
Externí odkaz:
http://arxiv.org/abs/2409.00263
Medical image segmentation has been traditionally approached by training or fine-tuning the entire model to cater to any new modality or dataset. However, this approach often requires tuning a large number of parameters during training. With the intr
Externí odkaz:
http://arxiv.org/abs/2408.06447
Autor:
Singh, Kaushlender, Dolui, Suman, Hegde, Bharat, Lachhvani, Lavkesh, Patel, Sharvil, Hoque, Injamul, Kumawat, Ashok K., Kumar, Ankit, Macwan, Tanmay, Raj, Harshita, Banerjee, Soumitra, Yadav, Komal, Kanik, Abha, Gautam, Pramila, Kumar, Rohit, Aich, Suman, Pradhan, Laxmikanta, Patel, Ankit, Galodiya, Kalpesh, Raju, Daniel, Jha, S. K., Jadeja, K. A., Patel, K. M., Pandya, S. N., Chaudhary, M. B., Tanna, R. L., Chattopadhyay, P. K., Pal, R., Saxena, Y. C., Sen, Abhijit, Ghosh, Joydeep
In this paper, we report the excitation of coherent density and potential fluctuations induced by magnetohydrodynamic (MHD) activity in the edge plasma region of ADITYA-U Tokamak. When the amplitude of the MHD mode, mainly the m/n = 2/1, increases be
Externí odkaz:
http://arxiv.org/abs/2407.16301
Recent vision-language pre-training models have exhibited remarkable generalization ability in zero-shot recognition tasks. Previous open-vocabulary 3D scene understanding methods mostly focus on training 3D models using either image or text supervis
Externí odkaz:
http://arxiv.org/abs/2407.09781
Referenced-based scene stylization that edits the appearance based on a content-aligned reference image is an emerging research area. Starting with a pretrained neural radiance field (NeRF), existing methods typically learn a novel appearance that ma
Externí odkaz:
http://arxiv.org/abs/2407.07220
Change detection in remote sensing images is an essential tool for analyzing a region at different times. It finds varied applications in monitoring environmental changes, man-made changes as well as corresponding decision-making and prediction of fu
Externí odkaz:
http://arxiv.org/abs/2407.06839
Autor:
Zeng, Yu, Patel, Vishal M., Wang, Haochen, Huang, Xun, Wang, Ting-Chun, Liu, Ming-Yu, Balaji, Yogesh
Personalized text-to-image generation models enable users to create images that depict their individual possessions in diverse scenes, finding applications in various domains. To achieve the personalization capability, existing methods rely on finetu
Externí odkaz:
http://arxiv.org/abs/2407.06187