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Nerfstudio: A Modular Framework for Neural Radiance Field Development [PDF]
International Conference on Computer Graphics and Interactive Techniques, 2023 Neural Radiance Fields (NeRF) are a rapidly growing area of research with wide-ranging applications in computer vision, graphics, robotics, and more. In order to streamline the development and deployment of NeRF research, we propose a modular PyTorch ...
Matthew Tancik +12 more
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Trans. Mach. Learn. Res., 2023 Transfer learning has recently become the dominant paradigm of machine learning. Pre-trained models fine-tuned for downstream tasks achieve better performance with fewer labelled examples.
Jonas Pfeiffer +3 more
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Decomposed Prompting: A Modular Approach for Solving Complex Tasks [PDF]
International Conference on Learning Representations, 2022 Few-shot prompting is a surprisingly powerful way to use Large Language Models (LLMs) to solve various tasks. However, this approach struggles as the task complexity increases or when the individual reasoning steps of the task themselves are hard to ...
Tushar Khot +6 more
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Modular Multilevel Converters: Recent Achievements and Challenges
IEEE Open Journal of the Industrial Electronics Society, 2021 The modular multilevel converter (MMC) is currently one of the power converter topologies which has attracted more research and development worldwide. Its features, such as high quality of voltages and currents, high modularity and high voltage rating ...
M. Pérez +4 more
semanticscholar +1 more source
Deep Modular Co-Attention Networks for Visual Question Answering [PDF]
Computer Vision and Pattern Recognition, 2019 Visual Question Answering (VQA) requires a fine-grained and simultaneous understanding of both the visual content of images and the textual content of questions.
Zhou Yu +4 more
semanticscholar +1 more source
Carbon emissions comparison in modular and site-built residential construction
Modular and Offsite Construction (MOC) Summit Proceedings, 2022 The construction industry has significant environmental impacts by consuming natural resources, emitting greenhouse gas (GHG), and generating wastes. Hence, lowering the environmental impacts of residential buildings deserve serious attention.
Maryam Kouhirostami, A. Chini
semanticscholar +1 more source
MAttNet: Modular Attention Network for Referring Expression Comprehension [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 In this paper, we address referring expression comprehension: localizing an image region described by a natural language expression. While most recent work treats expressions as a single unit, we propose to decompose them into three modular components ...
Licheng Yu +6 more
semanticscholar +1 more source
AWP for residential buildings to modular construction: A proposed framework
Modular and Offsite Construction (MOC) Summit Proceedings, 2022 The demand on affording homes for the growing population in the world is noticeably increasing. This demand creates a high pressure to find solutions that can help in constructing quick and affordable shelters.
Slim Rebai +4 more
semanticscholar +1 more source
Lessons Learned from adopting modular construction in Brazil: A startup journey
Modular and Offsite Construction (MOC) Summit Proceedings, 2022 Although Modular Construction (MC) is already known in Brazil mainly to due the fast construction of health facilities during the Covid 19 pandemic, very few developers and building companies have adopted it as an ordinary strategy.
R. S. S. Melo, J. S. Medeiros
semanticscholar +1 more source
Modular and Offsite Construction (MOC) Summit Proceedings, 2022 Modular construction sites are often reported as one of the most hazardous workplaces where the complex environments can lead to near misses and life-threatening collisions.
Qiuling Yang +4 more
semanticscholar +1 more source