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Optical performance monitoring (OPM) underpins quality of transmission in modern elastic optical networks. This paper introduces MT-OPMNet, a multi-task deep learning framework for joint optical signal-to-noise ratio (OSNR) estimation and modulation format identification (MFI) from asynchronous amplitude histog...

Generative models that maximize model likelihood have gained traction in many practical settings. Among them, perturbation-based approaches underpin many state-of-the-art likelihood estimation models, yet they often face slow convergence and limited theoretical understanding. In this paper, we derive a...

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The images captured by Wireless Capsule Endoscopy (WCE) always exhibit specular reflections, and removing highlights while preserving the color and texture in the region remains a challenge. To address this issue, this paper proposes a highlight removal method for capsule endoscopy images.&#...

To address the issue of increased triangulation uncertainty caused by selecting views with small camera baselines in Structure from Motion (SFM) view selection, this paper proposes a robust error-resistant view selection method. The method utilizes a triangulation-based computation to obtain an&#...

In this paper, we present an autonomous control system for Unmanned Aerial Vehicles (UAVs), specifically designed to inspect a detected suspicious vessel and capture information-rich images in a maritime environment. The maritime environment is ever-changing and uncertain, making it challenging t...