Tuning Dynamics of the Acousto-Optical Tunable SOA Fiber Laser
Acoustically-induced fiber gratings (AIFGs) can be employed as the main device to achieve wide-range, time-linear, and fast wavelength tunability of various lasers, due to their fast spectral respo…
Transportation Origin-Destination Demand Estimation with Quasi-Sparsity
Origin-destination (OD) demands for a city or a region are essential input to many transportation applications. For a real-world transportation network, the OD demand matrix may present certain qua…
How to Design Autonomous Service Level Agreements for 6G
With the growing demand for network connectivity and diversity of network applications, one primary challenge that network service providers are facing is managing the commitments for Service Level…
Auto Bias Control Technique for Silicon IQ Modulators Using the Dual-Arms Pow…
In high-capacity coherent transmission applications such as 400 Gb/s and beyond, silicon inphase and quadrature modulators (SIQMs) are widely used as a coherent transmitter assembly. The bias point…
Ultra-Widely Tunable Acousto-Optic Add-Drop Filter Based on Acoustically-Indu…
An ultra-widely tunable acousto-optic add-drop filter is proposed and demonstrated based on the acoustically-induced polarization conversion of cladding-etched single-mode fiber, which covers wavel…
Learning Frequency Domain Priors for Image Demoireing
Image demoireing is a multi-faceted image restoration task involving both moire pattern removal and color restoration. In this paper, we raise a general degradation model to describe an image conta…
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipula…
Learning a good image prior is a long-term goal for image restoration and manipulation. While existing methods like deep image prior (DIP) capture low-level image statistics, there are still gaps t…
Efficient Semantic Image Synthesis via Class-Adaptive Normalization
Spatially-adaptive normalization (SPADE) is remarkably successful recently in conditional semantic image synthesis in T. Park et al. 2019 which modulates the normalized activation with spatially-va…
Semiparametric Multinomial Logistic Regression for Multivariate Point Pattern…
We propose a new method for analysis of multivariate point pattern data observed in a heterogeneous environment and with complex intensity functions. We suggest semiparametric models for the intens…
Part-Level Car Parsing and Reconstruction in Single Street View Images
Part information has been proven to be resistant to occlusions and viewpoint changes, which are main difficulties in car parsing and reconstruction. However, in the absence of datasets and approach…
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