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- ArticleOctober 2024
MoE-DiffIR: Task-Customized Diffusion Priors for Universal Compressed Image Restoration
AbstractWe present MoE-DiffIR, an innovative universal compressed image restoration (CIR) method with task-customized diffusion priors. This intends to handle two pivotal challenges in the existing CIR methods: (i) lacking adaptability and universality ...
- research-articleJune 2024
Attentional multi-feature fusion for spoofing-aware speaker verification
International Journal of Speech Technology (SPIJST), Volume 27, Issue 2Pages 377–387https://doi.org/10.1007/s10772-024-10112-wAbstractThe Spoofing-Aware Speaker Verification (SASV) system is designed to protect automatic speaker verification (ASV) systems from potential speech spoofing attacks by integrating the ASV and countermeasure systems. The optimization of the ASV system ...
- research-articleFebruary 2023
Self-asymmetric invertible network for compression-aware image rescaling
AAAI'23/IAAI'23/EAAI'23: Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial IntelligenceArticle No.: 351, Pages 3155–3163https://doi.org/10.1609/aaai.v37i3.25420High-resolution (HR) images are usually downscaled to low-resolution (LR) ones for better display and afterward up-scaled back to the original size to recover details. Recent work in image rescaling formulates downscaling and upscaling as a unified task ...
- research-articleOctober 2022
Towards Blind Watermarking: Combining Invertible and Non-invertible Mechanisms
MM '22: Proceedings of the 30th ACM International Conference on MultimediaPages 1532–1542https://doi.org/10.1145/3503161.3547950Blind watermarking provides powerful evidence for copyright protection, image authentication, and tampering identification.However, it remains a challenge to design a watermarking model with high imperceptibility and robustness against strong noise ...
- ArticleNovember 2020
High-Level Task-Driven Single Image Deraining: Segmentation in Rainy Days
AbstractDeraining driven by semantic segmentation task is very important for autonomous driving because rain streaks and raindrops on the car window will seriously degrade the segmentation accuracy. As a pre-processing step of semantic segmentation ...
- research-articleOctober 2019
A Novel Two-stage Separable Deep Learning Framework for Practical Blind Watermarking
MM '19: Proceedings of the 27th ACM International Conference on MultimediaPages 1509–1517https://doi.org/10.1145/3343031.3351025As a vital copyright protection technology, blind watermarking based on deep learning with an end-to-end encoder-decoder architecture has been recently proposed. Although the one-stage end-to-end training (OET) facilitates the joint learning of encoder ...