Zobrazeno 1 - 10
of 36 930
pro vyhledávání: '"A P Shukla"'
Autor:
Apachigawo, Ishmael, Solanki, Dhruvil, Maity, Santanu, Shukla, Pradeep, Rao, Radhakrishna, Pradhan, Prabhakar
Photonics/light localization techniques are important in understanding the structural changes in biological tissues at the nano- to sub-micron scale. It is now known that structural alteration starts at the nanoscale at the beginning of cancer progre
Externí odkaz:
http://arxiv.org/abs/2412.20063
Autor:
Hosseininejad, Reyhaneh, Shukla, Megh, Saadatnejad, Saeed, Salzmann, Mathieu, Alahi, Alexandre
Human pose forecasting is inherently multimodal since multiple futures exist for an observed pose sequence. However, evaluating multimodality is challenging since the task is ill-posed. Therefore, we first propose an alternative paradigm to make the
Externí odkaz:
http://arxiv.org/abs/2412.18883
The rise in cybercrime and the complexity of multilingual and code-mixed complaints present significant challenges for law enforcement and cybersecurity agencies. These organizations need automated, scalable methods to identify crime types, enabling
Externí odkaz:
http://arxiv.org/abs/2412.16614
The fate of the binary neutron star (NS) merger remnants hinges sensitively upon the NS equation of state and the threshold mass, $M_{\rm ls}$, that separates a long-lived from a short-lived NS remnant. The nature of the electromagnetic counterparts
Externí odkaz:
http://arxiv.org/abs/2412.07846
Generative Adversarial Networks (GANs) have proven to be a powerful tool in generating artistic images, capable of mimicking the styles of renowned painters, such as Claude Monet. This paper introduces a tiered GAN model to progressively refine image
Externí odkaz:
http://arxiv.org/abs/2412.05724
Autor:
Bhati, Deepshikha, Neha, Fnu, Amiruzzaman, Md, Guercio, Angela, Shukla, Deepak Kumar, Ward, Ben
Interpreting complex neural networks is crucial for understanding their decision-making processes, particularly in applications where transparency and accountability are essential. This proposed method addresses this need by focusing on layer-wise Re
Externí odkaz:
http://arxiv.org/abs/2412.05686
Object detection is a fundamental task in computer vision and image understanding, with the goal of identifying and localizing objects of interest within an image while assigning them corresponding class labels. Traditional methods, which relied on h
Externí odkaz:
http://arxiv.org/abs/2412.05252
Autor:
Chen, Xiaohui, Shukla, Satya Narayan, Azab, Mahmoud, Singh, Aashu, Wang, Qifan, Yang, David, Peng, ShengYun, Yu, Hanchao, Yan, Shen, Zhang, Xuewen, He, Baosheng
How well can Multimodal Large Language Models (MLLMs) understand composite images? Composite images (CIs) are synthetic visuals created by merging multiple visual elements, such as charts, posters, or screenshots, rather than being captured directly
Externí odkaz:
http://arxiv.org/abs/2412.05243
The rapid development of Artificial Intelligence (AI) has led to the creation of powerful text generation models, such as large language models (LLMs), which are widely used for diverse applications. However, concerns surrounding AI-generated content
Externí odkaz:
http://arxiv.org/abs/2412.03933
Autor:
Neha, Fnu, Bhati, Deepshikha, Shukla, Deepak Kumar, Dalvi, Sonavi Makarand, Mantzou, Nikolaos, Shubbar, Safa
Medical imaging is essential in healthcare to provide key insights into patient anatomy and pathology, aiding in diagnosis and treatment. Non-invasive techniques such as X-ray, Magnetic Resonance Imaging (MRI), Computed Tomography (CT), and Ultrasoun
Externí odkaz:
http://arxiv.org/abs/2412.02242