Zobrazeno 1 - 10
of 685
pro vyhledávání: '"Blasch, Erik P."'
Recently, Knowledge Graphs (KGs) have been successfully coupled with Large Language Models (LLMs) to mitigate their hallucinations and enhance their reasoning capability, such as in KG-based retrieval-augmented frameworks. However, current KG-LLM fra
Externí odkaz:
http://arxiv.org/abs/2410.08985
Autor:
Cominelli, Marco, Gringoli, Francesco, Kaplan, Lance M., Srivastava, Mani B., Bihl, Trevor, Blasch, Erik P., Iyer, Nandini, Cerutti, Federico
Wi-Fi devices, akin to passive radars, can discern human activities within indoor settings due to the human body's interaction with electromagnetic signals. Current Wi-Fi sensing applications predominantly employ data-driven learning techniques to as
Externí odkaz:
http://arxiv.org/abs/2407.04734
Although the performance of Temporal Action Segmentation (TAS) has improved in recent years, achieving promising results often comes with a high computational cost due to dense inputs, complex model structures, and resource-intensive post-processing
Externí odkaz:
http://arxiv.org/abs/2405.15995
Autor:
Sidheekh, Sahil, Tenali, Pranuthi, Mathur, Saurabh, Blasch, Erik, Kersting, Kristian, Natarajan, Sriraam
We consider the problem of late multi-modal fusion for discriminative learning. Motivated by noisy, multi-source domains that require understanding the reliability of each data source, we explore the notion of credibility in the context of multi-moda
Externí odkaz:
http://arxiv.org/abs/2403.03281
Autor:
Kim, Nayoung, Cohen, Myke C., Ba, Yang, Pan, Anna, Bhatti, Shawaiz, Salehi, Pouria, Sung, James, Blasch, Erik, Mancenido, Michelle V., Chiou, Erin K.
Designing for AI trustworthiness is challenging, with a lack of practical guidance despite extensive literature on trust. The Multisource AI Scorecard Table (MAST), a checklist rating system, addresses this gap in designing and evaluating AI-enabled
Externí odkaz:
http://arxiv.org/abs/2401.13850
It is important to quantify Damage Assessment (DA) for Human Assistance and Disaster Response (HADR) applications. In this paper, to achieve efficient and scalable DA in HADR, an image prior and posterior conditional probability (IP2CP) is developed
Externí odkaz:
http://arxiv.org/abs/2310.17801
Autor:
Nelson, Kelsey, Mohammadi, Javad, Chen, Yu, Blasch, Erik, Aved, Alex, Ferris, David, Cruz, Erika Ardiles, Morrone, Philip
Electric vehicles (EVs) are becoming more popular within the United States, making up an increasingly large portion of the US's electricity consumption. Hence, there is much attention has been directed on how to manage EVs within the power sector. A
Externí odkaz:
http://arxiv.org/abs/2310.17069
Accurate tracking of transparent objects, such as glasses, plays a critical role in many robotic tasks such as robot-assisted living. Due to the adaptive and often reflective texture of such objects, traditional tracking algorithms that rely on gener
Externí odkaz:
http://arxiv.org/abs/2309.06701
Autor:
Yellapragada, Srikar, Li, Zhenghong, Doshi, Kevin Bhadresh, Mhasakar, Purva Makarand, Fan, Heng, Wei, Jie, Blasch, Erik, Zhang, Bin, Ling, Haibin
Gun violence is a critical security problem, and it is imperative for the computer vision community to develop effective gun detection algorithms for real-world scenarios, particularly in Closed Circuit Television (CCTV) surveillance data. Despite si
Externí odkaz:
http://arxiv.org/abs/2303.10703
Publikováno v:
the 4th International Workshop on Smart City Communication and Networking (SmartCityCom 2022), in conjunction with the 31st International Conference on Computer Communications and Networks (ICCCN 2022), July 27, 2022
The fast integration of 5G communication, Artificial Intelligence (AI), and Internet-of-Things (IoT) technologies is envisioned to enable Next Generation Networks (NGNs) for diverse smart services and user-defined applications for Smart Cities. Howev
Externí odkaz:
http://arxiv.org/abs/2208.01466