PointINS : Point-Based Instance Segmentation
In this paper, we explore the mask representation in instance segmentation with Point-of-Interest (PoI) features. Differentiating multiple potential instances within a single PoI feature is challen…
Cascaded Feedforward Neural Network Based Simultaneously Fast and Precise Mul…
We present and investigate a scheme to realize fast and precise multi-characteristics extraction and error estimation of Brillouin frequency shift (BFS) simultaneously based on a cascaded feedforwa…
Using BART to Perform Pareto Optimization and Quantify its Uncertainties
Techniques to reduce the energy burden of an industrial ecosystem often require solving a multiobjective optimization problem. However, collecting experimental data can often be either expensive or…
On Degenerate Doubly Nonnegative Projection Problems
The doubly nonnegative (DNN) cone, being the set of all positive semidefinite matrices whose elements are nonnegative, is a popular approximation of the computationally intractable completely posit…
Simultaneous Phase Detection of Multi-Wavelength Interferometry Based on Freq…
Simultaneous phases detection in multi-wavelength interferometry (MWLI) is essential for high-accuracy dynamic absolute distance measurement in high-end equipment manufacturing. To address this pro…
Distributed Optimization Based on Gradient Tracking Revisited : Enhancing Con…
We study distributed multiagent optimization over graphs. We consider the minimization of F+G subject to convex constraints, where F is the smooth strongly convex sum of the agent's losses and G is…
Enhancing the Effect of Nonlinear Frequency Sweep Correction in OFDR With Imp…
Correcting the nonlinear frequency sweep of the tunable laser source in optical frequency domain reflectometry (OFDR) is critical for accurate measurement. It is common to correct the nonlinear fre…
Automated and Clinically Optimal Treatment Planning for Cancer Radiotherapy
Each year, approximately 18 million new cancer cases are diagnosed worldwide, and about half must be treated with radiotherapy. A successful treatment requires treatment planning with the customiza…
A Bayesian State-Space Approach to Mapping Directional Brain Networks
The human brain is a directional network system of brain regions involving directional connectivity. Seizures are a directional network phenomenon as abnormal neuronal activities start from a seizu…
Estimation of Spatial Deformation for Nonstationary Processes via Variogram A…
In modeling spatial processes, a second-order stationarity assumption is often made. However, for spatial data observed on a vast domain, the covariance function often varies over space, leading to…
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