Dr. Tong Liu
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    • A Symmetric Self-Embedding Mechanism for High-Fidelity Image Recovery Against Tampering
    • GHCW: A novel Guarded High-fidelity Compression-based Watermarking scheme for AI model protection and self-recovery
    • A Two-Phase Scheme by Integration of Deep and Corner Feature for Balanced Copy-Move Forgery Localization
    • Adaptive feature calculation and diagonal mapping for successive recovery of tampered regions
  • Publications
    • A Symmetric Self-Embedding Mechanism for High-Fidelity Image Recovery Against Tampering
    • GHCW: A novel Guarded High-fidelity Compression-based Watermarking scheme for AI model protection and self-recovery
    • SAM-FE: Segment Anything Model Guided Feature Enhancement for Semantic Change Detection of Remote Sensing Images
    • A Two-Phase Scheme by Integration of Deep and Corner Feature for Balanced Copy-Move Forgery Localization
    • LED-Net: A lightweight edge detection network
    • RNPM: Neural-Guided Embedding Region Selection and Error Correction for Robust Audio Multi-Watermarking
    • A novel blockchain-watermarking mechanism utilizing interplanetary file system and fast walsh hadamard transform
    • CAMU-Net: Copy-move forgery detection utilizing coordinate attention and multi-scale feature fusion-based up-sampling
    • Image Manipulation Localization Using Dual-Shallow Feature Pyramid Fusion and Boundary Contextual Incoherence Enhancement
    • PFPS: Polymerized Feature Panoptic Segmentation Based on Fully Convolutional Networks
    • FRRW: A feature extraction-based robust and reversible watermarking scheme utilizing zernike moments and histogram shifting
    • Tampering localization and self-recovery using block labeling and adaptive significance
    • An Efficient Mathematical Method for Recovery of Tampered Image Content
    • Paralinguistic and spectral feature extraction for speech emotion classification using machine learning techniques
    • Blind Dual Watermarking Scheme Using Stucki Kernel and SPIHT for Image Self-Recovery
    • A dual-tamper-detection method for digital image authentication and content self-recovery
    • Adaptive feature calculation and diagonal mapping for successive recovery of tampered regions
    • Gauss–Jordan elimination-based image tampering detection and self-recovery
    • Image Self-Recovery Based on Authentication Feature Extraction
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Pandas

2023-10-26 · 1 min read
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures.

Last updated on 2023-10-26
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Tong Liu
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Tong Liu (Mila)
Macao Polytechnic University - University of Coimbra
PyTorch 2023-10-26 →

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