Zobrazeno 1 - 10
of 15 253
pro vyhledávání: '"Idrees, A."'
Autor:
Jaafar, Ahmed, Raman, Shreyas Sundara, Wei, Yichen, Juliani, Sofia, Wernerfelt, Anneke, Quartey, Benedict, Idrees, Ifrah, Liu, Jason Xinyu, Tellex, Stefanie
As robots that follow natural language become more capable and prevalent, we need a benchmark to holistically develop and evaluate their ability to solve long-horizon mobile manipulation tasks in large, diverse environments. To tackle this challenge,
Externí odkaz:
http://arxiv.org/abs/2412.05313
Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava
Autor:
Azarafza, Mehdi, Idrees, Fatima, Bejnordi, Ali Ehteshami, Steinmetz, Charles, Henkler, Stefan, Rettberg, Achim
Traffic Sign Recognition (TSR) detection is a crucial component of autonomous vehicles. While You Only Look Once (YOLO) is a popular real-time object detection algorithm, factors like training data quality and adverse weather conditions (e.g., heavy
Externí odkaz:
http://arxiv.org/abs/2410.05096
Autor:
Liu, S., Su, J. T., Bai, X. Y., Deng, Y. Y., Chen, J., Song, Y. L., Wang, X. F., Xu, H. Q., Yang, X., Idrees, Shahid
Publikováno v:
Solar Physics, 2024,May
Utilizing data from the $Solar$ $Magnetism$ and $Activity$ $Telescope$ (SMAT), analytical solutions of polarized radiative transfer equations, and in-orbit test data from the Full-disk Magnetograph (FMG) onboard the Advanced Space based Solar Observa
Externí odkaz:
http://arxiv.org/abs/2405.16741
This work considers the decentralized successive convex approximation (SCA) method for minimizing stochastic non-convex objectives subject to convex constraints, along with possibly non-smooth convex regularizers. Although SCA has been widely applied
Externí odkaz:
http://arxiv.org/abs/2405.07100
We consider stochastic optimization problems with functional constraints, such as those arising in trajectory generation, sparse approximation, and robust classification. To this end, we put forth a recursive momentum-based accelerated successive con
Externí odkaz:
http://arxiv.org/abs/2404.11790
Spectrum-Based Fault Localization (SBFL) is a technique to be used during debugging, the premise of which is that, based on the test case outcomes and code coverage, faulty code elements can be automatically detected. SBFL is popular among researcher
Externí odkaz:
http://arxiv.org/abs/2403.11538
Autor:
Jan, Ovaisa, Qasim, Idrees
In this paper we investigate bounds for the zeros of a bicomplex polynomial using matrix method. In particular, we find analogue of Gershgorin disk theorem, Cauchy Theorem, theorem of Fujiwara, Walsh and other theorems concerning to zeros of a polyno
Externí odkaz:
http://arxiv.org/abs/2402.14425
Over the past few years, The idea of edge computing has seen substantial expansion in both academic and industrial circles. This computing approach has garnered attention due to its integrating role in advancing various state-of-the-art technologies
Externí odkaz:
http://arxiv.org/abs/2402.13056
Publikováno v:
In: Jayakrushna Sahoo, Mariya Ouaissa, Akarsh K. Nair(eds) Federated Learning Principles, Paradigms, and Applications. Apple Academic Press (2024)
With the help of a new architecture called Edge/Fog (E/F) computing, cloud computing services can now be extended nearer to data generator devices. E/F computing in combination with Deep Learning (DL) is a promisedtechnique that is vastly applied in
Externí odkaz:
http://arxiv.org/abs/2402.13029
To achieve seamless collaboration between robots and humans in a shared environment, accurately predicting future human movements is essential. Human motion prediction has traditionally been approached as a sequence prediction problem, leveraging his
Externí odkaz:
http://arxiv.org/abs/2401.05018