Zobrazeno 1 - 10
of 22 170
pro vyhledávání: '"Rahimi P"'
Autor:
Noghre, Ghazal Alinezhad, Yao, Shanle, Pazho, Armin Danesh, Ardabili, Babak Rahimi, Katariya, Vinit, Tabkhi, Hamed
PHEVA, a Privacy-preserving Human-centric Ethical Video Anomaly detection dataset. By removing pixel information and providing only de-identified human annotations, PHEVA safeguards personally identifiable information. The dataset includes seven indo
Externí odkaz:
http://arxiv.org/abs/2408.14329
Autor:
Mollabashi, Ali, Rahimi-Keshari, Saleh
We show that randomness in quadratic Hamiltonians for multimode bosonic systems results in certain information scrambling diagnostics, mirroring those seen in chaotic systems. Specifically, considering initial Gaussian states, we observe the disappea
Externí odkaz:
http://arxiv.org/abs/2408.12089
Autor:
Cummins, Logan, Sommers, Alexander, Mittal, Sudip, Rahimi, Shahram, Seale, Maria, Jaboure, Joseph, Arnold, Thomas
There exists three main areas of study inside of the field of predictive maintenance: anomaly detection, fault diagnosis, and remaining useful life prediction. Notably, anomaly detection alerts the stakeholder that an anomaly is occurring. This raise
Externí odkaz:
http://arxiv.org/abs/2408.11935
Autor:
Saadabadi, Mohammad Saeed Ebrahimi, Malakshan, Sahar Rahimi, Hosseini, Seyed Rasoul, Nasrabadi, Nasser M.
While deep face recognition models have demonstrated remarkable performance, they often struggle on the inputs from domains beyond their training data. Recent attempts aim to expand the training set by relying on computationally expensive and inheren
Externí odkaz:
http://arxiv.org/abs/2408.07642
Autor:
Motamedian, SaeedReza, Mohaghegh, Sadra, Oregani, Elham Babadi, Amjadi, Mahrsa, Shobeiri, Parnian, Cheraghi, Negin, Solouki, Niusha, Ahmadi, Nikoo, Mohammad-Rahimi, Hossein, Bouchareb, Yassine, Rahmim, Arman
Purpose: Artificial intelligence (AI) techniques have been extensively utilized for diagnosing and prognosis of several diseases in recent years. This study identifies, appraises and synthesizes published studies on the use of AI for the prognosis of
Externí odkaz:
http://arxiv.org/abs/2408.00208
Autor:
Coerver, A., Zebrowski, J. A., Takakura, S., Holzapfel, W. L., Ade, P. A. R., Anderson, A. J., Ahmed, Z., Ansarinejad, B., Archipley, M., Balkenhol, L., Barron, D., Benabed, K., Bender, A. N., Benson, B. A., Bianchini, F., Bleem, L. E., Bouchet, F. R., Bryant, L., Camphuis, E., Carlstrom, J. E., Cecil, T. W., Chang, C. L., Chaubal, P., Chichura, P. M., Chokshi, A., Chou, T. -L., Crawford, T. M., Cukierman, A., Daley, C., de Haan, T., Dibert, K. R., Dobbs, M. A., Doussot, A., Dutcher, D., Everett, W., Feng, C., Ferguson, K. R., Fichman, K., Foster, A., Galli, S., Gambrel, A. E., Gardner, R. W., Ge, F., Goeckner-Wald, N., Gualtieri, R., Guidi, F., Guns, S., Halverson, N. W., Hivon, E., Holder, G. P., Hood, J. C., Hryciuk, A., Huang, N., Keruzore, F., Khalife, A. R., Knox, L., Korman, M., Kornoelje, K., Kuo, C. -L., Lee, A. T., Levy, K., Lowitz, A. E., Lu, C., Maniyar, A., Martsen, E. S., Menanteau, F., Millea, M., Montgomery, J., Nakato, Y., Natoli, T., Noble, G. I., Novosad, V., Omori, Y., Padin, S., Pan, Z., Paschos, P., Phadke, K. A., Pollak, A. W., Prabhu, K., Quan, W., Rahimi, M., Rahlin, A., Reichardt, C. L., Rouble, M., Ruhl, J. E., Schiappucci, E., Smecher, G., Sobrin, J. A., Stark, A. A., Stephen, J., Suzuki, A., Tandoi, C., Thompson, K. L., Thorne, B., Trendafilova, C., Tucker, C., Umilta, C., Vieira, J. D., Vitrier, A., Wan, Y., Wang, G., Whitehorn, N., Wu, W. L. K., Yefremenko, V., Young, M. R.
We present the detection and characterization of fluctuations in linearly polarized emission from the atmosphere above the South Pole. These measurements make use of Austral winter survey data from the SPT-3G receiver on the South Pole Telescope in t
Externí odkaz:
http://arxiv.org/abs/2407.20579
Autor:
Saadabadi, Mohammad Saeed Ebrahimi, Malakshan, Sahar Rahimi, Dabouei, Ali, Nasrabadi, Nasser M.
Aiming to enhance Face Recognition (FR) on Low-Quality (LQ) inputs, recent studies suggest incorporating synthetic LQ samples into training. Although promising, the quality factors that are considered in these works are general rather than FR-specifi
Externí odkaz:
http://arxiv.org/abs/2407.14972
Autor:
Azghadi, Seyed Alireza Rahimi, Mih, Atah Nuh, Kawnine, Asfia, Wachowicz, Monica, Palma, Francis, Cao, Hung
Indoor localization plays a vital role in the era of the IoT and robotics, with WiFi technology being a prominent choice due to its ubiquity. We present a method for creating WiFi fingerprinting datasets to enhance indoor localization systems and add
Externí odkaz:
http://arxiv.org/abs/2407.09242
In this paper, we investigate the potential of image-to-image translation (I2I) techniques for transferring realism to 3D-rendered facial images in the context of Face Recognition (FR) systems. The primary motivation for using 3D-rendered facial imag
Externí odkaz:
http://arxiv.org/abs/2407.07627
Autor:
Ahmad, Hafiz Mughees, Rahimi, Afshin
Workplace accidents continue to pose significant risks for human safety, particularly in industries such as construction and manufacturing, and the necessity for effective Personal Protective Equipment (PPE) compliance has become increasingly paramou
Externí odkaz:
http://arxiv.org/abs/2407.04590