Zobrazeno 1 - 10
of 15 525
pro vyhledávání: '"Zia P"'
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
Physical motion has long been at the heart of what humans identify as life. Early thinkers about what differentiates life from inanimate matter connected agency to autonomous motion, a line of thinking that continued until Robert Brown's experiments
Externí odkaz:
http://arxiv.org/abs/2412.01743
Autor:
Ramzan, Muhammad Umer, Zia, Ali, Khamis, Abdelwahed, Elgharabawy, yman, Liaqat, Ahmad, Ali, Usman
This paper presents a novel deep-learning framework that significantly enhances the transformation of rudimentary face sketches into high-fidelity colour images. Employing a Convolutional Block Attention-based Auto-encoder Network (CA2N), our approac
Externí odkaz:
http://arxiv.org/abs/2411.19005
Autor:
Pierson, Matthew, Mehrabi, Zia
Waterways shape earth system processes and human societies, and a better understanding of their distribution can assist in a range of applications from earth system modeling to human development and disaster response. Most efforts to date to map the
Externí odkaz:
http://arxiv.org/abs/2412.00050
Autor:
Pierson, Matthew, Mehrabi, Zia
Surprisingly a number of Earth's waterways remain unmapped, with a significant number in low and middle income countries. Here we build a computer vision model (WaterNet) to learn the location of waterways in the United States, based on high resoluti
Externí odkaz:
http://arxiv.org/abs/2411.13590
Physics Informed Machine Learning has emerged as a popular approach in modelling and simulation for digital twins to generate accurate models of processes and behaviours of real-world systems. However, despite their success in generating accurate and
Externí odkaz:
http://arxiv.org/abs/2411.11497
Word embeddings represent a transformative technology for analyzing text data in social work research, offering sophisticated tools for understanding case notes, policy documents, research literature, and other text-based materials. This methodologic
Externí odkaz:
http://arxiv.org/abs/2411.07156
Directionality in molecular and biomolecular networks plays a significant role in the accurate represention of the complex, dynamic, and asymmetrical nature of interactions present in protein-ligand binding, signal transduction, and biological pathwa
Externí odkaz:
http://arxiv.org/abs/2411.02596
Arguably, the most fundamental problem in Network Science is finding structure within a complex network. One approach is to partition the nodes into communities that are more densely connected than one expects in a random network. "The" community str
Externí odkaz:
http://arxiv.org/abs/2411.00977
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