Zobrazeno 1 - 10
of 112 367
pro vyhledávání: '"A, Siddiqui"'
Articulated 3D object generation is fundamental for creating realistic, functional, and interactable virtual assets which are not simply static. We introduce MeshArt, a hierarchical transformer-based approach to generate articulated 3D meshes with cl
Externí odkaz:
http://arxiv.org/abs/2412.11596
Autor:
Shaikh, Abdurrahman Javid, Abro, Abdul Ghani, Baig, Mirza Muhammad Ali, Siddiqui, Muhammad Adeel Ahmad, Abbas, Syed Mohsin
Full-vectorial finite difference method with perfectly matched layers boundaries is used to identify the single mode operation region of submicron rib waveguides fabricated using sili-con-on-insulator material system. Achieving high mode power confin
Externí odkaz:
http://arxiv.org/abs/2412.01236
Autor:
Slavkova, Kalina P., Traughber, Melanie, Chen, Oliver, Bakos, Robert, Goldstein, Shayna, Harms, Dan, Erickson, Bradley J., Siddiqui, Khan M.
Technological advances in artificial intelligence (AI) have enabled the development of large vision language models (LVLMs) that are trained on millions of paired image and text samples. Subsequent research efforts have demonstrated great potential o
Externí odkaz:
http://arxiv.org/abs/2411.17891
Overfitting remains a significant challenge in deep learning, often arising from data outliers, noise, and limited training data. To address this, we propose Divide2Conquer (D2C), a novel technique to mitigate overfitting. D2C partitions the training
Externí odkaz:
http://arxiv.org/abs/2411.15876
This paper aims to uncover needs of adult learners when using pedagogical technologies such as intelligent tutoring systems. Further, our aim with this work is to understand the usability challenges when deploying tutors at scale within the adult lea
Externí odkaz:
http://arxiv.org/abs/2412.04477
Autor:
Mondal, Parmita, Shields, Allison, Bhurwani, Mohammad Mahdi Shiraz, Williams, Kyle A, Nagesh, Swetadri Vasan Setlur, Siddiqui, Adnan H, Ionita, Ciprian N
This study aims to mitigate these biases and enhance QA analysis by applying a path-length correction (PLC) correction, followed by singular value decomposition (SVD)-based deconvolution, to angiograms obtained through both in-silico and in-vitro met
Externí odkaz:
http://arxiv.org/abs/2411.08185
Autor:
Siddiqui, Nyle, Croitoru, Florinel Alin, Nayak, Gaurav Kumar, Ionescu, Radu Tudor, Shah, Mubarak
With the recent exhibited strength of generative diffusion models, an open research question is if images generated by these models can be used to learn better visual representations. While this generative data expansion may suffice for easier visual
Externí odkaz:
http://arxiv.org/abs/2411.07205
Autor:
Kavuri, Gautam A., Palfree, Jasper, Reddy, Dileep V., Zhang, Yanbao, Bienfang, Joshua C., Mazurek, Michael D., Alhejji, Mohammad A., Siddiqui, Aliza U., Cavanagh, Joseph M., Dalal, Aagam, Abellán, Carlos, Amaya, Waldimar, Mitchell, Morgan W., Stange, Katherine E., Beale, Paul D., Brandão, Luís T. A. N., Booth, Harold, Peralta, René, Nam, Sae Woo, Mirin, Richard P., Stevens, Martin J., Knill, Emanuel, Shalm, Lynden K.
The unpredictability of random numbers is fundamental to both digital security and applications that fairly distribute resources. However, existing random number generators have limitations-the generation processes cannot be fully traced, audited, an
Externí odkaz:
http://arxiv.org/abs/2411.05247
Autor:
Mondal, Parmita, Nagesh, Swetadri Vasan Setlur, Sommers-Thaler, Sam, Shields, Allison, Bhurwani, Mohammad Mahdi Shiraz, Williams, Kyle A, Baig, Ammad, Snyder, Kenneth, Siddiqui, Adnan H, Levy, Elad, Ionita, Ciprian N
Intraoperative 2D quantitative angiography (QA) for intracranial aneurysms (IAs) has accuracy challenges due to the variability of hand injections. Despite the success of singular value decomposition (SVD) algorithms in reducing biases in computed to
Externí odkaz:
http://arxiv.org/abs/2411.03655
Chest X-rays (X-ray images) have been proven to be effective for the diagnosis of chest diseases, including Pneumonia, Lung Opacity, and COVID-19. However, relying on traditional medical methods for diagnosis from X-ray images is prone to delays and
Externí odkaz:
http://arxiv.org/abs/2410.15437