1 citations · 3 across the 10 of their papers we have counts for
4 papers · 1 filter
Artificial Intelligence for the Characterization of Particles and Fibers by Optical Microscopy
Simiao Sun, Kenneth Ng, Lynn Lee +6
Optical microscopy of particle and fiber dispersions involves interpreting subtle visual cues influenced by specimen morphology, chemical composition, magnification, and illuminati…
MetaSR: Content-Adaptive Metadata Orchestration for Generative Super-Resolution
Jiaqi Guo, Mingzhen Li, Haohong Wang +1
We study generative super-resolution (SR) in real-world scenarios where content and degradations vary across domains, genres, and segments. For example, images and videos may alter…
Irregularly Sampled Time Series Interpolation for Binary Evolution Simulations Using Dynamic Time Warping
Ugur Demir, Philipp M. Srivastava, Aggelos Katsaggelos +9
Binary stellar evolution simulations are computationally expensive. Stellar population synthesis relies on these detailed evolution models at a fundamental level. Producing thousan…
Learning the Stellar Structure Equations via Self-supervised Physics-Informed Neural Networks
Manuel Ballester, Santiago Lopez-Tapia, Seth Gossage +9
Stellar astrophysics relies critically on accurate descriptions of the physical conditions inside stars. Traditional solvers such as \texttt{MESA} (Modules for Experiments in Stell…