Comparison of Beyond 1 GHz C-Plane Freestanding and Sapphire-Substrate GaN-Ba…
With ever-growing demand for 6G networks technology, visible light communication (VLC) as a vital component of 6G has challenging requirement for superior performance of light source. Herein, 20 μ…
Distilled Siamese Networks for Visual Tracking
In recent years, Siamese network based trackers have significantly advanced the state-of-the-art in real-time tracking. Despite their success, Siamese trackers tend to suffer from high memory costs…
Deep Learning-Based Channel Modeling for Free Space Optical Communications
Instead of conventional knowledge-driven modeling, this study introduced data-driven channel modeling methods based on deep learning (DL) in a free-space optical (FSO) communication system to achie…
Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural …
Spiking neural networks (SNNs) have shown clear advantages over traditional artificial neural networks (ANNs) for low latency and high computational efficiency, due to their event-driven nature and…
Improved Variance Reduction Methods for Riemannian Non-Convex Optimization
Variance reduction is popular in accelerating gradient descent and stochastic gradient descent for optimization problems defined on both euclidean space and Riemannian manifold. This paper further …
Online Attention Accumulation for Weakly Supervised Semantic Segmentation
Object attention maps generated by image classifiers are usually used as priors for weakly supervised semantic segmentation. However, attention maps usually locate the most discriminative object pa…
Curbing Emissions : Environmental Regulations and Product Offerings Across Ma…
Problem definition: In the U.S. auto market, the California Air Resources Board (CARB) implements a stricter fuel economy standard in California than the federal standard implemented by the U.S. En…
Feature Completion for Occluded Person Re-Identification
Person re-identification (reID) plays an important role in computer vision. However, existing methods suffer from performance degradation in occluded scenes. In this work, we propose an occlusion-r…
Deep Hough Transform for Semantic Line Detection
We focus on a fundamental task of detecting meaningful line structures, a.k.a. , semantic line, in natural scenes. Many previous methods regard this problem as a special case of object detection an…
Universal Virtual Lab : A Fast and Accurate Simulation Tool for Wideband Nonl…
We introduce the concept of the universal virtual lab, an extension to the virtual lab platform of [Golani et al. 2016], enabling a fast and accurate simulation of wideband nonlinear DWDM systems. …
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