Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Miao, Haichao"'
Autor:
Huang, Xuan, Miao, Haichao, Kim, Hyojin, Townsend, Andrew, Champley, Kyle, Tringe, Joseph, Pascucci, Valerio, Bremer, Peer-Timo
Advanced manufacturing creates increasingly complex objects with material compositions that are often difficult to characterize by a single modality. Our collaborating domain scientists are going beyond traditional methods by employing both X-ray and
Externí odkaz:
http://arxiv.org/abs/2408.11957
The recent introduction of multimodal large language models (MLLMs) combine the inherent power of large language models (LLMs) with the renewed capabilities to reason about the multimodal context. The potential usage scenarios for MLLMs significantly
Externí odkaz:
http://arxiv.org/abs/2407.10996
Autor:
Chheang, Vuthea, Narain, Saurabh, Hooten, Garrett, Cerda, Robert, Au, Brian, Weston, Brian, Giera, Brian, Bremer, Peer-Timo, Miao, Haichao
Digital twins (DTs) are an emerging capability in additive manufacturing (AM), set to revolutionize design optimization, inspection, in situ monitoring, and root cause analysis. AM DTs typically incorporate multimodal data streams, ranging from machi
Externí odkaz:
http://arxiv.org/abs/2405.12931
Autor:
Chheang, Vuthea, Weston, Brian Thomas, Cerda, Robert William, Au, Brian, Giera, Brian, Bremer, Peer-Timo, Miao, Haichao
Additive manufacturing (AM) techniques have been used to enhance the design and fabrication of complex components for various applications in the medical, aerospace, energy, and consumer products industries. A defining feature for many AM parts is th
Externí odkaz:
http://arxiv.org/abs/2403.08940
With recent advances in multi-modal foundation models, the previously text-only large language models (LLM) have evolved to incorporate visual input, opening up unprecedented opportunities for various applications in visualization. Our work explores
Externí odkaz:
http://arxiv.org/abs/2312.04494
Autor:
Luo, Deng, Kouyoumdjian, Alexandre, Strnad, Ondřej, Miao, Haichao, Barišić, Ivan, Viola, Ivan
We propose a new abstraction set (SynopSet) that has a continuum of visual representations for the explanatory analysis of molecular dynamics simulations (MDS) in the DNA nanotechnology domain. By re-purposing the commonly used progress bar and desig
Externí odkaz:
http://arxiv.org/abs/2205.01628
Autor:
Kuťák, David, Langlois, Danielle, Rozič, Roman, Byška, Jan, Miao, Haichao, Kriglstein, Simone, Kozlíková, Barbora
Publikováno v:
In Computers & Graphics August 2024 122
Autor:
Halladjian, Sarkis, Miao, Haichao, Kouřil, David, Gröller, M. Eduard, Viola, Ivan, Isenberg, Tobias
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics 26(1), 2020
We present ScaleTrotter, a conceptual framework for an interactive, multi-scale visualization of biological mesoscale data and, specifically, genome data. ScaleTrotter allows viewers to smoothly transition from the nucleus of a cell to the atomistic
Externí odkaz:
http://arxiv.org/abs/1907.12352
Autor:
Wu, Hsiang-Yun, Amirkhanov, Aleksandr, Grossmann, Nicolas, Klein, Tobias, Kouřil, David, Miao, Haichao, Luidolt, Laura R., Mindek, Peter, Raidou, Renata G., Viola, Ivan, Waldner, Manuela, Gröller, M. Eduard
Publikováno v:
In Visual Informatics March 2021 5(1):76-84
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