Optical Imaging Using Orbital Angular Momentum: Interferometry, Holography an…
Light with helical phase wavefront carries orbital angular momentum, a unique feature widening the horizon of optical imaging applicability. Here, we take particular interest in the common but impo…
Externally-Triggered Spiking and Spiking Cluster Oscillation in Broadband Opt…
An approach to generating periodic spiking and spiking cluster in a broadband nonlinear opto-electronic oscillator (OEO) is proposed and demonstrated. Through injecting a long-duration square-wave …
Graph Convolutional Module for Temporal Action Localization in Videos
Temporal action localization, which requires a machine to recognize the location as well as the category of action instances in videos, has long been researched in computer vision. The main challen…
On the Divergence of Decentralized Nonconvex Optimization
In this work, we study a generic class of decentralized algorithms in which agents jointly optimize the nonconvex objective function , while only communicating with their neighbors. This class of…
High-Dimensional Mediation Analysis for Selecting DNA Methylation Loci Mediat…
Childhood trauma tends to influence cortisol stress reactivity through the mediating effects of DNA methylation. Houtepen et al. conducted a study to investigate the role of DNA methylation in cort…
Low-Complexity Triplet-Correlative Perturbative Fiber Nonlinearity Compensati…
In this paper, we propose a triplet-correlative perturbative nonlinearity compensation (TC-PNC) scheme to compensate for intra-channel fiber nonlinear impairments. The complexity of TC-PNC is much …
Weakly Supervised Object Detection Using Proposal- and Semantic-Level Relatio…
In recent years, weakly supervised object detection has attracted great attention in the computer vision community. Although numerous deep learning-based approaches have been proposed in the past f…
Learning to Detect Salient Object With Multi-Source Weak Supervision
High-cost pixel-level annotations makes it appealing to train saliency detection models with weak supervision. However, a single weak supervision source hardly contain enough information to train a…
A Blockchain-Enabled Trusted Identifier Co-Governance Architecture for the In…
Recently, the Industrial Internet of Things plays a vital role in the new round of technology innovation and industry competition, where the identity resolution system is its key component. However…
Deep Coarse-to-Fine Dense Light Field Reconstruction With Flexible Sampling a…
A densely-sampled light field (LF) is highly desirable in various applications, such as 3-D reconstruction, post-capture refocusing and virtual reality. However, it is costly to acquire such data. …
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