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Gaussian Boson sampling (GBS) provides a highly efficient approach to make use of squeezed states from parametric down-conversion to solve a classically hard-to-solve sampling problem. The GBS protocol not only significantly enhances the…

Time-frequency analysis, such as the Gabor transform, plays an important role in many signal processing applications. The redundancy of such representations is often directly related to the computational load of any algorithm operating in…

Classical Analysis and ODEs · Mathematics 2015-05-13 Ewa Matusiak , Tomer Michaeli , Yonina C. Eldar

Medical image segmentation is critical for clinical diagnosis, treatment planning, and monitoring, yet segmentation models often struggle with uncertainties stemming from occlusions, ambiguous boundaries, and variations in imaging devices.…

Computer Vision and Pattern Recognition · Computer Science 2026-01-05 Xiao Ma , Yuhui Tao , Zetian Zhang , Yuhan Zhang , Xi Wang , Sheng Zhang , Zexuan Ji , Yizhe Zhang , Qiang Chen , Guang Yang

We discuss how one can realize a photonic device that combines synthetic dimensions and synthetic magnetic fields with spatially local interactions. Using an array of ring cavities, the angular coordinate around each cavity spans the…

Quantum Gases · Physics 2017-01-05 Tomoki Ozawa , Iacopo Carusotto

Emerging technology based on artificial materials containing metallic structures has raised the prospect for unprecedented control of terahertz waves through components like filters, absorbers and polarizers. The functionality of these…

Topological photonic crystals (PCs) can support robust edge modes to transport electromagnetic energy in an efficient manner. Such edge modes are the eigenmodes of the PDE operator for a joint optical structure formed by connecting together…

Optimization and Control · Mathematics 2024-07-30 Chiu-Yen Kao , Junshan Lin , Braxton Osting

Training computer-vision related algorithms on medical images for disease diagnosis or image segmentation is difficult due to the lack of training data, labeled samples, and privacy concerns. For this reason, a robust generative method to…

Image and Video Processing · Electrical Eng. & Systems 2021-11-04 Robert V Bergen , Jean-Francois Rajotte , Fereshteh Yousefirizi , Ivan S Klyuzhin , Arman Rahmim , Raymond T. Ng

Novel view synthesis from a single input image is a challenging task, where the goal is to generate a new view of a scene from a desired camera pose that may be separated by a large motion. The highly uncertain nature of this synthesis task…

Computer Vision and Pattern Recognition · Computer Science 2023-08-23 Jason J. Yu , Fereshteh Forghani , Konstantinos G. Derpanis , Marcus A. Brubaker

Modulation of metasurfaces in time gives rise to several exotic space-time scattering phenomena by violating the reciprocity and generation of higher-order frequency harmonics. We introduce a new design paradigm for time-modulated…

Applied Physics · Physics 2018-12-31 Mohammad Mahdi Salary , Samad Jafar-Zanjani , Hossein Mosallaei

We propose a novel spectral generative model for image synthesis that departs radically from the common variational, adversarial, and diffusion paradigms. In our approach, images, after being flattened into one-dimensional signals, are…

Computer Vision and Pattern Recognition · Computer Science 2025-04-28 Andrew Kiruluta

Synthetic gauge fields have recently emerged, arising in the context of quantum simulations, topological matter, and the protected transportation of excitations against defects. For example, an ultracold atom experiences a light-induced…

Image generation today can produce somewhat realistic images from text prompts. However, if one asks the generator to synthesize a specific camera setting such as creating different fields of view using a 24mm lens versus a 70mm lens, the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-26 Yu Yuan , Xijun Wang , Yichen Sheng , Prateek Chennuri , Xingguang Zhang , Stanley Chan

The ability to generate physically plausible ensembles of variable sources is critical to the optimization of time-domain survey cadences and the training of classification models on datasets with few to no labels. Traditional data…

Instrumentation and Methods for Astrophysics · Physics 2020-05-19 Jorge Martínez-Palomera , Joshua S. Bloom , Ellianna S. Abrahams

The advancement of the ultrafast pulse shaping and waveform synthesis allowed to coherently control the atomic and electronic motions in matter. The temporal resolution of the waveform synthesis is inversely proportional to the broadening…

Optics · Physics 2024-06-04 Husain Alqattan , Dandan Hui , Vladimir Pervak , Mohammed Th. Hassan

An interpretable generative model for handwritten digits synthesis is proposed in this work. Modern image generative models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), are trained by backpropagation…

Computer Vision and Pattern Recognition · Computer Science 2018-11-13 Yao Zhu , Saksham Suri , Pranav Kulkarni , Yueru Chen , Jiali Duan , C. -C. Jay Kuo

Spacetime Discontinuous Galerkin (DG) methods are used to solve hyperbolic PDEs describing wavelike physical phenomena. When the PDEs are nonlinear, the speed of propagation of the phenomena, called the wavespeed, at any point in the…

Computational Geometry · Computer Science 2008-04-08 Shripad Thite

Sum frequency generation (SFG) has multiple applications, from optical sources to imaging, where efficient conversion requires either long interaction distances or large field concentrations in a quadratic nonlinear material. Metasurfaces…

Optics · Physics 2024-08-22 Neuton Li , Jihua Zhang , Dragomir N. Neshev , Andrey A. Sukhorukov

Time-domain analysis of harmonic fields with sub-cycle resolution is now experimentally viable due to the emergence of sensitive, on-chip techniques for petahertz-scale optical-field sampling. We demonstrate how such a time-domain,…

Novel architectures have recently improved generative image synthesis leading to excellent visual quality in various tasks. Much of this success is due to the scalability of these architectures and hence caused by a dramatic increase in…

Computer Vision and Pattern Recognition · Computer Science 2022-10-25 Andreas Blattmann , Robin Rombach , Kaan Oktay , Jonas Müller , Björn Ommer

Artificial data synthesis is currently a well studied topic with useful applications in data science, computer vision, graphics and many other fields. Generating realistic data is especially challenging since human perception is highly…

Computational Geometry · Computer Science 2019-01-23 Gil Shamai , Ron Slossberg , Ron Kimmel