Research
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PFPS: Polymerized Feature Panoptic Segmentation Based on Fully Convolutional Networks
Abstract: Panoptic segmentation requires the prediction of a pixel-level mask with a category label in an image. In recent years, panoptic segmentation has been gaining more attention since it can help us understand objects and the environment in ...
Publication · April 18, 2026
NGQR: A Novel Generalized Quantum Image Representation
Abstract: To address the size limitations of existing quantum image models in terms of accurate image representation, as well as inaccurate image operation and retrieval, we propose a Novel Generalized Quantum Image Representation (NGQR) for image...
Publication · April 18, 2026
DFFormer: Capturing Dynamic Frequency Features to Locate Image Manipulation through Adaptive Frequency Transformer and Prototype Learning
Abstract: The proliferation of modern image editing tools has raised concerns about image manipulation, particularly regarding the potential to mislead the public and compromise privacy and security. Consequently, detecting and localizing tampered...
Publication · April 18, 2026
Image Manipulation Localization Using Dual-Shallow Feature Pyramid Fusion and Boundary Contextual Incoherence Enhancement
Abstract: This paper proposes a novel end-to-end network for Image Manipulation Localization (IML) comprising three modules: feature fusion, encoder, and decoder. To address the limitations of current DNN-based IML algorithms in accessing global f...
Publication · April 18, 2026
LungScope: An Intelligent Embedded System With a Lightweight Model for Real-Time Lung Sound Analysis
Abstract: Lung auscultation is crucial for early respiratory disease diagnosis. However, limited resources hinder accurate and timely assessment in many regions. In this article, we present LungScope, an intelligent embedded system designed for re...
Publication · April 18, 2026
A Symmetric Self-Embedding Mechanism for High-Fidelity Image Recovery Against Tampering
Abstract: Digital images are inherently fragile and vulnerable to malicious tampering, significantly compromising their authenticity and integrity. Image recovery is crucial for restoring altered content and preserving the reliability of digital ...
Publication · April 18, 2026
A Two-Phase Scheme by Integration of Deep and Corner Feature for Balanced Copy-Move Forgery Localization
Abstract: In the era of Industry 4.0, the widespread application of digitization, automation, and Internet technology in industrial production has led to a significant increase in image data. Image security has become crucial because images are at...
Publication · April 18, 2026
GHCW: A novel Guarded High-fidelity Compression-based Watermarking scheme for AI model protection and self-recovery
Abstract: Artificial Intelligence (AI) models are valuable and frequently face malicious tampering attacks, which require significant data and time to retrain when compromised. To address this issue, we propose a Guarded High-fidelity Compression-...
Publication · April 18, 2026
RNPM: Neural-Guided Embedding Region Selection and Error Correction for Robust Audio Multi-Watermarking
Abstract: Robust audio watermarking plays a crucial role in copyright protection; however, existing techniques suffer from low embedding capacity and limited robustness under severe signal distortions. To solve these limitations, this paper propos...
Publication · April 18, 2026
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