Zobrazeno 1 - 10
of 83 315
pro vyhledávání: '"Anjali ."'
Publikováno v:
Chaos Theory and Applications, Vol 4, Iss 3, Pp 128-134 (2022)
In the last two decades, the dynamics of difference and differential equations have found a celebrated place in science and engineering such as weather forecasting, secure communication, transportation problems, biology, the population of species, et
Externí odkaz:
https://doaj.org/article/8f8940c16b634103811f88ca9000f1c4
Humans possess the visual-spatial intelligence to remember spaces from sequential visual observations. However, can Multimodal Large Language Models (MLLMs) trained on million-scale video datasets also ``think in space'' from videos? We present a nov
Externí odkaz:
http://arxiv.org/abs/2412.14171
Autor:
Zhu, Yiwen, Demarne, Mathieu, Deng, Kai, Wang, Wenjing, Sahoo, Nutan, Vermareddy, Divya, Lerner, Hannah, Lu, Yunlei, Bararia, Swati, Bhavan, Anjali, Zhang, William, Li, Xia, Lin, Katherine, Cilimdzic, Miso, Krishnan, Subru
Software engineers frequently grapple with the challenge of accessing disparate documentation and telemetry data, including Troubleshooting Guides (TSGs), incident reports, code repositories, and various internal tools developed by multiple stakehold
Externí odkaz:
http://arxiv.org/abs/2412.06099
Violence detection in surveillance videos is a critical task for ensuring public safety. As a result, there is increasing need for efficient and lightweight systems for automatic detection of violent behaviours. In this work, we propose an effective
Externí odkaz:
http://arxiv.org/abs/2412.05386
Autor:
Vinay, Vaishali, Mangal, Anjali
As command-line interfaces remain integral to high-performance computing environments, the risk of exploitation through stealthy and complex command-line abuse grows. Conventional security solutions struggle to detect these anomalies due to their con
Externí odkaz:
http://arxiv.org/abs/2412.04259
Autor:
de Medeiros, Markus, Naveed, Muhammad, Lepoint, Tancrede, Kahsai, Temesghen, Ravitch, Tristan, Zetzsche, Stefan, Joshi, Anjali, Tassarotti, Joseph, Albarghouthi, Aws, Tristan, Jean-Baptiste
Differential privacy (DP) has become the gold standard for privacy-preserving data analysis, but implementing it correctly has proven challenging. Prior work has focused on verifying DP at a high level, assuming the foundations are correct and a perf
Externí odkaz:
http://arxiv.org/abs/2412.01671
Autor:
Kumar, Shashwat, You, Xinyuan, Croot, Xanthe, Zhao, Tianpu, Chen, Danyang, Sussman, Sara, Premkumar, Anjali, Bryon, Jacob, Koch, Jens, Houck, Andrew A.
Qubits that are intrinsically insensitive to depolarization and dephasing errors promise to significantly reduce the overhead of fault-tolerant quantum computing. At their optimal operating points, the logical states of these qubits exhibit both expo
Externí odkaz:
http://arxiv.org/abs/2411.16648
Recent observations have revealed a super-virial temperature gas phase at log(T/K) $\sim7$ in the Milky Way, challenging existing galaxy-formation models. This hot gas phase was discovered toward extragalactic absorption sightlines and blank-sky emis
Externí odkaz:
http://arxiv.org/abs/2411.15394
Edge detection has been one of the most difficult challenges in computer vision because of the difficulty in identifying the borders and edges from the real-world images including objects of varying kinds and sizes. Methods based on ensemble learning
Externí odkaz:
http://arxiv.org/abs/2411.14868
Autor:
Dhabu, Anjali C., Bernauer, Felix, Liao, Chun-Man, Niederleithinger, Ernst, Igel, Heiner, Hadziioannou, Celine
Earthquakes cause catastrophic damage to buildings and loss of human life. Civil engineers across the globe design earthquake-resistant buildings to minimize this damage. Conventionally, the structures are designed to resist the translational motions
Externí odkaz:
http://arxiv.org/abs/2411.02203