Zobrazeno 1 - 10
of 61 309
pro vyhledávání: '"P. A. Mehta"'
Autor:
Zohar, Orr, Wang, Xiaohan, Dubois, Yann, Mehta, Nikhil, Xiao, Tong, Hansen-Estruch, Philippe, Yu, Licheng, Wang, Xiaofang, Juefei-Xu, Felix, Zhang, Ning, Yeung-Levy, Serena, Xia, Xide
Despite the rapid integration of video perception capabilities into Large Multimodal Models (LMMs), the underlying mechanisms driving their video understanding remain poorly understood. Consequently, many design decisions in this domain are made with
Externí odkaz:
http://arxiv.org/abs/2412.10360
Autor:
Chandler, Talon, Hirata-Miyasaki, Eduardo, Ivanov, Ivan E., Liu, Ziwen, Sundarraman, Deepika, Ryan, Allyson Quinn, Jacobo, Adrian, Balla, Keir, Mehta, Shalin B.
Correlative computational microscopy is accelerating the mapping of dynamic biological systems by integrating morphological and molecular measurements across spatial scales, from organelles to entire organisms. Visualization, measurement, and predict
Externí odkaz:
http://arxiv.org/abs/2412.09775
Autor:
Mathur, Samir D., Mehta, Madhur
We describe the puzzles that arise in the quantum theory of black holes, and explain how they are resolved in string theory. We review how the Bekenstein entropy is obtained through the count of brane bound states. We describe the fuzzball constructi
Externí odkaz:
http://arxiv.org/abs/2412.09495
Autor:
Jaramillo, Oscar, Natarajan, Vighnesh, Rivy, Hamim Mahmud, Tensuan, Joshua, Massai, Leonardo, Mehta, Karan K.
Ultraviolet and visible integrated photonics are enabling for applications in quantum information, sensing, and spectroscopy, among others. Few materials support low-loss photonics into the UV, and the relatively low refractive index of known deposit
Externí odkaz:
http://arxiv.org/abs/2412.09421
Publikováno v:
Journal of Electrical systems, Vol. 20 No. 11s (2024)
Physics-based differentiable rendering (PBDR) has become an efficient method in computer vision, graphics, and machine learning for addressing an array of inverse problems. PBDR allows patterns to be generated from perceptions which can be applied to
Externí odkaz:
http://arxiv.org/abs/2412.08563
Contrastive learning has emerged as a pivotal framework for representation learning, underpinning advances in both unimodal and bimodal applications like SimCLR and CLIP. To address fundamental limitations like large batch size dependency and bimodal
Externí odkaz:
http://arxiv.org/abs/2412.07979
Dependable visual drone detection is crucial for the secure integration of drones into the airspace. However, drone detection accuracy is significantly affected by domain shifts due to environmental changes, varied points of view, and background shif
Externí odkaz:
http://arxiv.org/abs/2412.04789
Autor:
Morishita, Takahiro, Mason, Charlotte A., Kreilgaard, Kimi C., Trenti, Michele, Treu, Tommaso, Vulcani, Benedetta, Zhang, Yechi, Abdurro'uf, Alavi, Anahita, Atek, Hakim, Bahe, Yannick, Bradac, Marusa, Bradley, Larry D., Bunker, Andrew J., Coe, Dan, Colbert, James, Gelli, Viola, Hayes, Matthew J., Jones, Tucker, Kodama, Tadayuki, Leethochawalit, Nicha, Liu, Zhaoran, Malkan, Matthew A., Mehta, Vihang, Metha, Benjamin, Newman, Andrew B., Rafelski, Marc, Roberts-Borsani, Guido, Rutkowski, Michael J., Scarlata, Claudia, Stiavelli, Massimo, Sutanto, Ryo A., Takahashi, Kosuke, Teplitz, Harry I., Wang, Xin
We introduce the Bias-free Extragalactic Analysis for Cosmic Origins with NIRCam (BEACON) survey, a JWST Cycle2 program allocated up to 600 pure-parallel hours of observations. BEACON explores high-latitude areas of the sky with JWST/NIRCam over $\si
Externí odkaz:
http://arxiv.org/abs/2412.04211
Autor:
Tank, Chayan, Mehta, Shaina, Pol, Sarthak, Katoch, Vinayak, Anand, Avinash, Jaiswal, Raj, Shah, Rajiv Ratn
In recent times, more and more people are posting about their mental states across various social media platforms. Leveraging this data, AI-based systems can be developed that help in assessing the mental health of individuals, such as suicide risk.
Externí odkaz:
http://arxiv.org/abs/2412.01353
Autor:
Lai, Bolin, Juefei-Xu, Felix, Liu, Miao, Dai, Xiaoliang, Mehta, Nikhil, Zhu, Chenguang, Huang, Zeyi, Rehg, James M., Lee, Sangmin, Zhang, Ning, Xiao, Tong
Text-guided image manipulation has experienced notable advancement in recent years. In order to mitigate linguistic ambiguity, few-shot learning with visual examples has been applied for instructions that are underrepresented in the training set, or
Externí odkaz:
http://arxiv.org/abs/2412.01027