PVNAS : 3D Neural Architecture Search With Point-Voxel Convolution
3D neural networks are widely used in real-world applications (e.g., AR/VR headsets, self-driving cars). They are required to be fast and accurate; however, limited hardware resources on edge devic…
Learning Deformable Image Registration From Optimization : Perspective, Modul…
Conventional deformable registration methods aim at solving an optimization model carefully designed on image pairs and their computational costs are exceptionally high. In contrast, recent deep le…
OAM-SDM Solution Toward a Submarine Cable
Determining how to add more signal channels without enlarging the cable volume is continually an issue in managing submarine cables. To improve the cost per bit and the power efficiency, space divi…
ControlVAE: Tuning, Analytical Properties, and Performance Analysis
This paper reviews the novel concept of a controllable variational autoencoder (ControlVAE), discusses its parameter tuning to meet application needs, derives its key analytic properties, and offer…
Side-Coupled Fabry-Perot Resonator Filter Based on Dual-Waveguide Bragg Grating
We propose, analyze and demonstrate a side-coupled Fabry-Perot (F-P) resonator filter composed of two dissimilar waveguides with π phase-shifted Bragg grating. The resonance circuit is formed by t…
Support Vector Machine Classifier via L0/1L0/1 Soft-Margin Loss
Support vector machines (SVM) have drawn wide attention for the last two decades due to its extensive applications, so a vast body of work has developed optimization algorithms to solve SVM with va…
Efficient and Refined Deep Convolutional Features Network for the Crack Segme…
High-quality and fast crack segmentation in solar cell electroluminescence images with heterogeneously textured background disturbance is challenging. We propose an end-to-end Efficient and Refined…
Multi-Period Workload Balancing in Last-Mile Urban Delivery
In the daily dispatching of last-mile urban delivery, a delivery manager has to consider workload balance among couriers to maintain workforce morale. We consider two types of workload: incentive w…
Contracting Mechanisms for Stable Sourcing Networks
Problem definition: We study profit allocation for a sourcing network, in which a buyer sources from a set of differentiated suppliers with limited capacity under uncertain demand for the final pro…
Siamese Network for RGB-D Salient Object Detection and Beyond
Existing RGB-D salient object detection (SOD) models usually treat RGB and depth as independent information and design separate networks for feature extraction from each. Such schemes can easily be…
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