Zobrazeno 1 - 10
of 39 813
pro vyhledávání: '"A, Zeeshan"'
This paper introduces TemporalVLM, a video large language model capable of effective temporal reasoning and fine-grained understanding in long videos. At the core, our approach includes a visual encoder for mapping a long-term input video into featur
Externí odkaz:
http://arxiv.org/abs/2412.02930
Autor:
Leitch, Samuel G., Ahmed, Qasim Zeeshan, Van Herbruggen, Ben, Baert, Mathias, Fontaine, Jaron, De Poorter, Eli, Shahid, Adnan, Lazaridis, Pavlos I.
One significant challenge in research is to collect a large amount of data and learn the underlying relationship between the input and the output variables. This paper outlines the process of collecting and validating a dataset designed to determine
Externí odkaz:
http://arxiv.org/abs/2412.01767
Publikováno v:
Eur. Phys. J. C 84(2024)1232
This research paper investigates the impact of non-metricity and matter source on the geometry of charged spheres in the presence of anisotropic matter configuration. We use a specific model of extended symmetric teleparallel theory to minimize the c
Externí odkaz:
http://arxiv.org/abs/2412.01411
Automatic Speech Recognition (ASR) technology has witnessed significant advancements in recent years, revolutionizing human-computer interactions. While major languages have benefited from these developments, lesser-resourced languages like Urdu face
Externí odkaz:
http://arxiv.org/abs/2411.14493
Autor:
Rasheed, Zeeshan, Sami, Malik Abdul, Rasku, Jussi, Kemell, Kai-Kristian, Zhang, Zheying, Harjamaki, Janne, Siddeeq, Shahbaz, Lahti, Sami, Herda, Tomas, Nurminen, Mikko, Lavesson, Niklas, de Cerqueira, Jose Siqueira, Hasan, Toufique, Khan, Ayman, Hasan, Mahade, Saari, Mika, Rantanen, Petri, Soini, Jari, Abrahamsson, Pekka
Present-day software development faces three major challenges: complexity, time consumption, and high costs. Developing large software systems often requires battalions of teams and considerable time for meetings, which end without any action, result
Externí odkaz:
http://arxiv.org/abs/2411.08507
Drone detection has benefited from improvements in deep neural networks, but like many other applications, suffers from the availability of accurate data for training. Synthetic data provides a potential for low-cost data generation and has been show
Externí odkaz:
http://arxiv.org/abs/2411.09077
In this paper, we argue that iterative computation with diffusion models offers a powerful paradigm for not only generation but also visual perception tasks. We unify tasks such as depth estimation, optical flow, and amodal segmentation under the fra
Externí odkaz:
http://arxiv.org/abs/2411.08034
Publikováno v:
Phys. Scr. 99(2024)125004
This paper explores static wormhole solutions in f(Q,T) theory, where Q is the non-metricity and T is the trace of energy-momentum tensor. We derive the field equations that describe gravitational phenomena in the existence of non-metricity and matte
Externí odkaz:
http://arxiv.org/abs/2411.03642
Autor:
Li, Xuesong, Hayder, Zeeshan, Zia, Ali, Cassidy, Connor, Liu, Shiming, Stiller, Warwick, Stone, Eric, Conaty, Warren, Petersson, Lars, Rolland, Vivien
Crop biomass offers crucial insights into plant health and yield, making it essential for crop science, farming systems, and agricultural research. However, current measurement methods, which are labor-intensive, destructive, and imprecise, hinder la
Externí odkaz:
http://arxiv.org/abs/2410.23901
While ongoing advancements in Large Language Models have demonstrated remarkable success across various NLP tasks, Retrieval Augmented Generation Model stands out to be highly effective on downstream applications like Question Answering. Recently, RA
Externí odkaz:
http://arxiv.org/abs/2410.17783