Underwater Acoustic Wave Detection Based on Packaged Optical Microbubble Reso…
We demonstrate an optical underwater acoustic sensor with high sensitivity and broad bandwidth (10 Hz to 100 kHz), based on the packaged optical microbubble whispering gallery mode resonator, for t…
GigaMVS : A Benchmark for Ultra-Large-Scale Gigapixel-Level 3D Reconstruction
Multiview stereopsis (MVS) methods, which can reconstruct both the 3D geometry and texture from multiple images, have been rapidly developed and extensively investigated from the feature engineerin…
Orbital Angular Momentum Mode-Multiplexed Amplification and Transmission Base…
Recently, orbital angular momentum (OAM) multiplexing has attracted much attention for providing an exponential growth in optical fiber capacity. As an irreplaceable component to promote long-haul …
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…
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark an…
Facial expression recognition (FER) has received significant attention in the past decade with witnessed progress, but data inconsistencies among different FER datasets greatly hinder the generaliz…
Background-Click Supervision for Temporal Action Localization
Weakly supervised temporal action localization aims at learning the instance-level action pattern from the video-level labels, where a significant challenge is action-context confusion. To overcome…
Adaptive Temporal Difference Learning With Linear Function Approximation
This paper revisits the temporal difference (TD) learning algorithm for the policy evaluation tasks in reinforcement learning. Typically, the performance of TD(0) and TD( λ ) is very sensitive to …
Microfiber Bragg Grating Bonded Using Tapered Cantilever for High-Sensitivity…
A microfiber Bragg grating (MFBG) bonded using tapered cantilever was designed to improve ultrasonic sensitivity, and was investigated using experimental, theoretical, and numerical methods. The ul…
Physics-Informed Neural Network for Optical Fiber Parameter Estimation From t…
For any system that follows rigorous mathematical and physical theories like fiber-optic system, system parameter estimation is crucial for system detection and monitoring. In this paper, a physics…
A Simple Spectral Failure Mode for Graph Convolutional Networks
Neural networks have achieved remarkable successes in machine learning tasks. This has recently been extended to graph learning using neural networks. However, there is limited theoretical work in …
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