Zobrazeno 1 - 10
of 4 350
pro vyhledávání: '"A. Teli"'
Autor:
Dhuria, Mansi, Teli, Bishnu Gupta
In this study, we investigate the constraints on secret self-interactions of neutrinos by examining the impact of radiative scattering of ultra-high-energy (UHE) neutrinos. These neutrinos are produced from the decay of superheavy dark matter and int
Externí odkaz:
http://arxiv.org/abs/2406.19279
Learning generalizable visual dynamic representation across different embodied environments is crucial for real-world robotic manipulation. As the scale and diversity of robot demonstration data are limited, recent works have turned to large-scale pr
Externí odkaz:
http://arxiv.org/abs/2406.14235
Developing robots capable of executing various manipulation tasks, guided by natural language instructions and visual observations of intricate real-world environments, remains a significant challenge in robotics. Such robot agents need to understand
Externí odkaz:
http://arxiv.org/abs/2406.09738
Autor:
S. Theodoridou, A. Teli, E. Boutou, E.-E. Delaki, E. Yfanti, V. Efthimia, E. Zarkada, A. Balassopoulou
Publikováno v:
HemaSphere, Vol 6, Pp 2110-2111 (2022)
Externí odkaz:
https://doaj.org/article/ed845fb665ba45e09686c4357d36cd97
Autor:
Saxena, Sagar, Teli, Mohammad Nayeem
Deep generative models have been applied to multiple applications in image-to-image translation. Generative Adversarial Networks and Diffusion Models have presented impressive results, setting new state-of-the-art results on these tasks. Most methods
Externí odkaz:
http://arxiv.org/abs/2402.12531
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract An environmentally friendly, versatile multicomponent reaction for synthesizing isoxazol-5-one and pyrazol-3-one derivatives has been developed, utilizing a freshly prepared g-C3N4· OH nanocomposite as a highly efficient catalyst at room te
Externí odkaz:
https://doaj.org/article/81052fd350b1422b968fb22cb14e4a40
LiDAR semantic segmentation plays a crucial role in enabling autonomous driving and robots to understand their surroundings accurately and robustly. A multitude of methods exist within this domain, including point-based, range-image-based, polar-coor
Externí odkaz:
http://arxiv.org/abs/2309.07849
Siamese network has been a de facto benchmark framework for 3D LiDAR object tracking with a shared-parametric encoder extracting features from template and search region, respectively. This paradigm relies heavily on an additional matching network to
Externí odkaz:
http://arxiv.org/abs/2308.12549
With the success of Large Language Models (LLMs), many Generative Vision-Language Models (GVLMs) have been constructed via multimodal instruction tuning. However, the performance of GVLMs in multimodal compositional reasoning remains under-explored.
Externí odkaz:
http://arxiv.org/abs/2308.10509
Autor:
Banafshe Darvishi Teli, Aziz Rezapour, Meysam Behzadifar, Samad Azari, Seyed Jafar Ehsanzadeh, Masoud Behzadifar
Publikováno v:
BMC Research Notes, Vol 17, Iss 1, Pp 1-7 (2024)
Abstract Objective This study aims to assess the economic burden of prostate cancer in Iran by analyzing direct medical costs, direct non-medical costs, and indirect costs. We conducted a cross-sectional cost-of-illness study in Khorramabad, located
Externí odkaz:
https://doaj.org/article/d0a75604485b47b9aab33e8a12ed05e1