Zobrazeno 1 - 10
of 4 976
pro vyhledávání: '"Eftekhar, A"'
Autor:
Eftekhar, Ainaz, Weihs, Luca, Hendrix, Rose, Caglar, Ege, Salvador, Jordi, Herrasti, Alvaro, Han, Winson, VanderBil, Eli, Kembhavi, Aniruddha, Farhadi, Ali, Krishna, Ranjay, Ehsani, Kiana, Zeng, Kuo-Hao
Modern robots vary significantly in shape, size, and sensor configurations used to perceive and interact with their environments. However, most navigation policies are embodiment-specific; a policy learned using one robot's configuration does not typ
Externí odkaz:
http://arxiv.org/abs/2412.14401
Autor:
Taghinejad, Hossein, Taghinejad, Mohammad, Abdollahramezani, Sajjad, Li, Qitong, Woods, Eric V., Tian, Mengkun, Eftekhar, Ali A., Lyu, Yuanqi, Zhang, Xiang, Ajayan, Pulickel M., Cai, Wenshan, Brongersma, Mark L., Analytis, James G., Adibi, Ali
Achieving deterministic control over the properties of low-dimensional materials with nanoscale precision is a long-sought goal. Mastering this capability has a transformative impact on the design of multifunctional electrical and optical devices. He
Externí odkaz:
http://arxiv.org/abs/2410.06181
The rapid development of Large Vision-Language Models (LVLMs) often comes with widespread hallucination issues, making cost-effective and comprehensive assessments increasingly vital. Current approaches mainly rely on costly annotations and are not c
Externí odkaz:
http://arxiv.org/abs/2409.13612
We build interpretable and lightweight transformer-like neural networks by unrolling iterative optimization algorithms that minimize graph smoothness priors -- the quadratic graph Laplacian regularizer (GLR) and the $\ell_1$-norm graph total variatio
Externí odkaz:
http://arxiv.org/abs/2406.04090
Internet memes have become a powerful means for individuals to express emotions, thoughts, and perspectives on social media. While often considered as a source of humor and entertainment, memes can also disseminate hateful content targeting individua
Externí odkaz:
http://arxiv.org/abs/2403.10829
Bridge health monitoring becomes crucial with the deployment of IoT sensors. The challenge lies in securely storing vast amounts of data and extracting useful information to promptly identify unhealthy bridge conditions. To address this challenge, we
Externí odkaz:
http://arxiv.org/abs/2402.14902
This work focuses on using advanced techniques for structural health monitoring (SHM) for bridges with Traffic. We propose an approach using deep reinforcement learning (DRL)-based control for Unmanned Aerial Vehicle (UAV). Our approach conducts a co
Externí odkaz:
http://arxiv.org/abs/2402.14757
Multimodal hateful content detection is a challenging task that requires complex reasoning across visual and textual modalities. Therefore, creating a meaningful multimodal representation that effectively captures the interplay between visual and tex
Externí odkaz:
http://arxiv.org/abs/2402.09738
Autor:
Sayed, Md Abu, Tayaba, Maliha, Islam, MD Tanvir, Pavel, Md Eyasin Ul Islam, Mia, Md Tuhin, Ayon, Eftekhar Hossain, Nob, Nur, Ghosh, Bishnu Padh
Parkinson's disease (PD) is a prevalent neurodegenerative disorder known for its impact on motor neurons, causing symptoms like tremors, stiffness, and gait difficulties. This study explores the potential of vocal feature alterations in PD patients a
Externí odkaz:
http://arxiv.org/abs/2311.05435
Embodied AI models often employ off the shelf vision backbones like CLIP to encode their visual observations. Although such general purpose representations encode rich syntactic and semantic information about the scene, much of this information is of
Externí odkaz:
http://arxiv.org/abs/2311.04193