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20142026
most citedMeta-Weight-Net: Learning an Explicit Mapping For Sample Weighting

398 citations · 537 across the 28 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

Rotation Equivariant Arbitrary-scale Image Super-Resolution

Qi Xie, Jiahong Fu, Zongben Xu +1

The arbitrary-scale image super-resolution (ASISR), a recent popular topic in computer vision, aims to achieve arbitrary-scale high-resolution recoveries from a low-resolution inpu…

eess.IV2025

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction

Yuliang Zhu, Jing Cheng, Qi Xie +7

Dynamic Magnetic Resonance Imaging (MRI) exhibits transformation symmetries, including spatial rotation symmetry within individual frames and temporal symmetry along the time dimen…

cs.CV2025

A Regularization-Guided Equivariant Approach for Image Restoration

Yulu Bai, Jiahong Fu, Qi Xie +1

Equivariant and invariant deep learning models have been developed to exploit intrinsic symmetries in data, demonstrating significant effectiveness in certain scenarios. However, t…

cs.CV2025★ 1 cited

Rotation-Equivariant Self-Supervised Method in Image Denoising

Hanze Liu, Jiahong Fu, Qi Xie +1

Self-supervised image denoising methods have garnered significant research attention in recent years, for this kind of method reduces the requirement of large training datasets. Co…

eess.IV2025

Continuous Filtered Backprojection by Learnable Interpolation Network

Hui Lin, Dong Zeng, Qi Xie +3

Accurate reconstruction of computed tomography (CT) images is crucial in medical imaging field. However, there are unavoidable interpolation errors in the backprojection step of th…

cs.CV2025

Feature Alignment with Equivariant Convolutions for Burst Image Super-Resolution

Xinyi Liu, Feiyu Tan, Qi Xie +2

Burst image processing (BIP), which captures and integrates multiple frames into a single high-quality image, is widely used in consumer cameras. As a typical BIP task, Burst Image…