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eess.IV2026
Quantum-Inspired Trainable and Parameter-Efficient Tensor Networks for Image Inpainting
Shiwen An, Konstantinos Slavakis
This work introduces quantum-inspired tensor-network circuits as trainable transforms for image inpainting. Among the proposed architectures, the diagonal quantum Fourier transform…
eess.IV2026
Fast Trainable Multilinear Bases for Image Compression
Shiwen An, Zhongyi Ni, Huanhai Zhou +1
The Discrete Fourier Transform (DFT), the Discrete Cosine Transform (DCT), and their block-wise variants underpin most deployed image and video codecs. Their effectiveness rests on…