Zobrazeno 1 - 10
of 114 791
pro vyhledávání: '"Nath, A."'
Autor:
Muddu, Sri Raghava, Rangaraju, Rupasai, Siledar, Tejpalsingh, Nath, Swaroop, Bhattacharyya, Pushpak, Nath, Swaprava, Banerjee, Suman, Patil, Amey, Chelliah, Muthusamy, Singh, Sudhanshu Shekhar, Garera, Nikesh
Opinion summarization in e-commerce encapsulates the collective views of numerous users about a product based on their reviews. Typically, a product on an e-commerce platform has thousands of reviews, each review comprising around 10-15 words. While
Externí odkaz:
http://arxiv.org/abs/2406.10886
Autor:
Bandyopadhyay, Hmrishav, Chowdhury, Pinaki Nath, Sain, Aneeshan, Koley, Subhadeep, Xiang, Tao, Bhunia, Ayan Kumar, Song, Yi-Zhe
This paper, for the first time, marries large foundation models with human sketch understanding. We demonstrate what this brings -- a paradigm shift in terms of generalised sketch representation learning (e.g., classification). This generalisation ha
Externí odkaz:
http://arxiv.org/abs/2407.03893
Autor:
Tang, Yucheng, He, Yufan, Nath, Vishwesh, Guo, Pengfeig, Deng, Ruining, Yao, Tianyuan, Liu, Quan, Cui, Can, Yin, Mengmeng, Xu, Ziyue, Roth, Holger, Xu, Daguang, Yang, Haichun, Huo, Yuankai
In digital pathology, the traditional method for deep learning-based image segmentation typically involves a two-stage process: initially segmenting high-resolution whole slide images (WSI) into smaller patches (e.g., 256x256, 512x512, 1024x1024) and
Externí odkaz:
http://arxiv.org/abs/2407.03307
D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions
Autor:
Nisar, Hareem, Anwar, Syed Muhammad, Jiang, Zhifan, Parida, Abhijeet, Nath, Vishwesh, Roth, Holger R., Linguraru, Marius George
Large vision language models (VLMs) have progressed incredibly from research to applicability for general-purpose use cases. LLaVA-Med, a pioneering large language and vision assistant for biomedicine, can perform multi-modal biomedical image and dat
Externí odkaz:
http://arxiv.org/abs/2407.02604
Autor:
Khan, Anasua, Banerjee, Debdatta, Rawat, Divya, Nath, T. K, Soni, Ajay, Chatterjee, Swastika, Taraphder, A.
One of the fundamental interactions that is found in many functional materials is the spin-phonon coupling (SPC), which is at the heart of many novel functionalities. The simultaneous presence of multi-magnetic phases makes SPC even more intriguing.
Externí odkaz:
http://arxiv.org/abs/2407.02407
In this paper, we delve into the intricate dynamics of Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) by addressing a critical yet overlooked aspect -- the choice of viewpoint during sketch creation. Unlike photo systems that seamlessly handle d
Externí odkaz:
http://arxiv.org/abs/2407.01810
Autor:
Aboubrahim, Amin, Nath, Pran
The description of dark matter as a pressure-less fluid and of dark energy as a cosmological constant, both minimally coupled to gravity, constitutes the basis of the concordance $\Lambda\text{CDM}$ model. However, the concordance model is based on u
Externí odkaz:
http://arxiv.org/abs/2406.19284
A detailed study of the structural and magnetic properties of the spin-$3/2$ hyperkagome lattice compound Li$_2$MgMn$_3$O$_8$ is reported. This material shows ferromagnetic response below $T_{\rm C} \simeq 20.6$ K, the temperature almost three times
Externí odkaz:
http://arxiv.org/abs/2406.17623
Autor:
Bhattacherjee, Sree, Nath, Ankur, Sarkar, Biplob, Beri, Aru, Chattopadhyay, Suchismito, Bhulla, Yashpal, Misra, Ranjeev
We report results from a detailed study of the neutron star X-ray binary, 4U 1608-52 using observations with {\it AstroSat} (LAXPC/SXT) and {\it NICER} during its 2016 and 2020 outbursts. The 0.7--20.0 keV spectra could be well described with the dis
Externí odkaz:
http://arxiv.org/abs/2406.10666
Autor:
Nath, Ankur, Kuhnle, Alan
Recently, there has been much work on the design of general heuristics for graph-based, combinatorial optimization problems via the incorporation of Graph Neural Networks (GNNs) to learn distribution-specific solution structures.However, there is a l
Externí odkaz:
http://arxiv.org/abs/2406.11897