Zobrazeno 1 - 10
of 10 431
pro vyhledávání: '"Mirzaei, P."'
Autor:
Mirzaei, Hossein, Mathis, Mackenzie W.
Despite significant advancements in out-of-distribution (OOD) detection, existing methods still struggle to maintain robustness against adversarial attacks, compromising their reliability in critical real-world applications. Previous studies have att
Externí odkaz:
http://arxiv.org/abs/2410.10744
Overseas military personnel often face significant challenges in participating in elections due to the slow pace of traditional mail systems, which can result in ballots missing crucial deadlines. While internet-based voting offers a faster alternati
Externí odkaz:
http://arxiv.org/abs/2410.06705
Autor:
Abdollah, Ali, Izadi, Amirmohammad, Saghafian, Armin, Vahidimajd, Reza, Mozafari, Mohammad, Mirzaei, Amirreza, Samiei, Mohammadmahdi, Baghshah, Mahdieh Soleymani
Vision-language models (VLMs) like CLIP have showcased a remarkable ability to extract transferable features for downstream tasks. Nonetheless, the training process of these models is usually based on a coarse-grained contrastive loss between the glo
Externí odkaz:
http://arxiv.org/abs/2409.08206
Autor:
Dahal, Sumit, Ade, Peter A. R., Anderson, Christopher J., Barlis, Alyssa, Barrentine, Emily M., Beeman, Jeffrey W., Bellis, Nicholas, Bolatto, Alberto D., Braianova, Victoria, Breysse, Patrick C., Bulcha, Berhanu T., Cataldo, Giuseppe, Colazo, Felipe A., Chevres-Fernandez, Lee-Roger, Cho, Chullhee, Chmaytelli, Danny S., Connors, Jake A., Costen, Nicholas P., Cursey, Paul W., Ehsan, Negar, Essinger-Hileman, Thomas M., Glenn, Jason, Golec, Joseph E., Hays-Wehle, James P., Hess, Larry A., Jahromi, Amir E., Jenkins, Trevian, Kimball, Mark O., Kogut, Alan J., Kramer, Samuel H., Leung, Nicole, Lowe, Luke N., Mauskopf, Philip D., McMahon, Jeffrey J., Mikula, Vilem, Mirzaei, Mona, Moseley, Samuel H., Mugge-Durum, Jonas W., Nellis, Jacob, Noroozian, Omid, Okun, Kate, Oxholm, Trevor, Parekh, Tatsat, Pen, Ue-Li, Pullen, Anthony R., Rahmani, Maryam, Ramirez, Mathias M., Roberson, Cody, Rodriguez, Samelys, Roselli, Florian, Sapkota, Deepak, Shire, Konrad, Siebert, Gage L., Siddique, Faizah, Sinclair, Adrian K., Somerville, Rachel S., Stephenson, Ryan, Stevenson, Thomas R., Switzer, Eric R., Termini, Jared, Timbie, Peter T., Trenkamp, Justin, Tucker, Carole E., Visbal, Elijah, Volpert, Carolyn G., Watson, Joseph, Weeks, Eric, Wollack, Edward J., Yang, Shengqi, Yung, Aaron
Publikováno v:
Proc. SPIE 13102, Millimeter, Submillimeter, and Far-Infrared Detectors and Instrumentation for Astronomy XII, 131022I (16 August 2024)
The EXperiment for Cryogenic Large-Aperture Intensity Mapping (EXCLAIM) is a balloon-borne telescope designed to survey star formation over cosmological time scales using intensity mapping in the 420 - 540 GHz frequency range. EXCLAIM uses a fully cr
Externí odkaz:
http://arxiv.org/abs/2409.02847
Autor:
Shukla, Sachin, Mirzaei, Omid
In the pursuit of an effective spam detection system, the focus has often been on identifying known spam patterns either through rule-based detection systems or machine learning (ML) solutions that rely on keywords. However, both systems are suscepti
Externí odkaz:
http://arxiv.org/abs/2408.16945
Autor:
Mirzaei, Hossein, Nafez, Mojtaba, Jafari, Mohammad, Soltani, Mohammad Bagher, Azizmalayeri, Mohammad, Habibi, Jafar, Sabokrou, Mohammad, Rohban, Mohammad Hossein
Novelty detection is a critical task for deploying machine learning models in the open world. A crucial property of novelty detection methods is universality, which can be interpreted as generalization across various distributions of training or test
Externí odkaz:
http://arxiv.org/abs/2408.10798
The rise of Large Language Models (LLMs) has impacted research in robotics and automation. While progress has been made in integrating LLMs into general robotics tasks, a noticeable void persists in their adoption in more specific domains such as sur
Externí odkaz:
http://arxiv.org/abs/2408.07806
In the Internet of Things (IoT) networks, the Routing Protocol forLow-power and Lossy Networks (RPL) is a widely adopted standard due toits efficiency in managing resource-constrained and energy-limited nodes.However, persistent challenges such as hi
Externí odkaz:
http://arxiv.org/abs/2408.06702
Autor:
Moenne-Loccoz, Nicolas, Mirzaei, Ashkan, Perel, Or, de Lutio, Riccardo, Esturo, Janick Martinez, State, Gavriel, Fidler, Sanja, Sharp, Nicholas, Gojcic, Zan
Particle-based representations of radiance fields such as 3D Gaussian Splatting have found great success for reconstructing and re-rendering of complex scenes. Most existing methods render particles via rasterization, projecting them to screen space
Externí odkaz:
http://arxiv.org/abs/2407.07090
Autor:
Ren, Jiawei, Xie, Kevin, Mirzaei, Ashkan, Liang, Hanxue, Zeng, Xiaohui, Kreis, Karsten, Liu, Ziwei, Torralba, Antonio, Fidler, Sanja, Kim, Seung Wook, Ling, Huan
We present L4GM, the first 4D Large Reconstruction Model that produces animated objects from a single-view video input -- in a single feed-forward pass that takes only a second. Key to our success is a novel dataset of multiview videos containing cur
Externí odkaz:
http://arxiv.org/abs/2406.10324