Xin Yuan

34

Papers

69

Total Citations

Papers (34)

Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing

Binarized Low-light Raw Video Enhancement

Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging

Dual-Scale Transformer for Large-Scale Single-Pixel Imaging

DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution

NeurIPS 2025arXiv

A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging

Hierarchical Separable Video Transformer for Snapshot Compressive Imaging

Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging

Spectral Compressive Imaging via Chromaticity-Intensity Decomposition

NeurIPS 2025arXiv

Dual-branch Graph Feature Learning for NLOS Imaging

SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image

Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging

Multimodal Contrastive Training for Visual Representation Learning

Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging

Memory-Efficient Network for Large-Scale Video Compressive Sensing

MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing

HDNet: High-Resolution Dual-Domain Learning for Spectral Compressive Imaging

Mask-Guided Spectral-Wise Transformer for Efficient Hyperspectral Image Reconstruction

EfficientSCI: Densely Connected Network With Space-Time Factorization for Large-Scale Video Snapshot Compressive Imaging

Self-Supervised Neural Networks for Spectral Snapshot Compressive Imaging

Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution

Deep Optics for Video Snapshot Compressive Imaging

Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging

End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention

BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction

Modeling Mask Uncertainty in Hyperspectral Image Reconstruction

Ensemble Learning Priors Driven Deep Unfolding for Scalable Video Snapshot Compressive Imaging

Cross Aggregation Transformer for Image Restoration

NeurIPS 2022arXiv

Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise

Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging

NeurIPS 2022arXiv

Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation

NeurIPS 2023arXiv

Hierarchical Integration Diffusion Model for Realistic Image Deblurring

NeurIPS 2023arXiv

Binarized Spectral Compressive Imaging

NeurIPS 2023arXiv