Yuan, Xin

56 publications

NeurIPS 2025 DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution Zheng Chen, Zichen Zou, Kewei Zhang, Xiongfei Su, Xin Yuan, Yong Guo, Yulun Zhang

AAAI 2025 Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging Mengjie Qin, Yuchao Feng, Zongliang Wu, Yulun Zhang, Xin Yuan

AAAI 2025 Dual-Branch Graph Feature Learning for NLOS Imaging Xiongfei Su, Tianyi Zhu, Lina Liu, Zheng Chen, Yulun Zhang, Siyuan Li, Juntian Ye, Feihu Xu, Xin Yuan

NeurIPS 2025 KaRF: Weakly-Supervised Kolmogorov-Arnold Networks-Based Radiance Fields for Local Color Editing Wudi Chen, Zhiyuan Zha, Shigang Wang, Bihan Wen, Xin Yuan, Jiantao Zhou, Zipei Fan, Gang Yan, Ce Zhu

AAAI 2025 Prior-Guided Hierarchical Harmonization Network for Efficient Image Dehazing Xiongfei Su, Siyuan Li, Yuning Cui, Miao Cao, Yulun Zhang, Zheng Chen, Zongliang Wu, Zedong Wang, Yuanlong Zhang, Xin Yuan

CVPR 2025 Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging Ping Wang, Lishun Wang, Gang Qu, Xiaodong Wang, Yulun Zhang, Xin Yuan

WACV 2025 Self-Supervised Learning with Spectral Low-Rank Prior for Hyperspectral Image Reconstruction Zijun He, Lishun Wang, Ziyi Meng, Xin Yuan

NeurIPS 2025 Spectral Compressive Imaging via Chromaticity-Intensity Decomposition Xiaodong Wang, Zijun He, Ping Wang, Lishun Wang, Yanan Hu, Xin Yuan

NeurIPS 2025 Unleashing the Power of One-Step Diffusion Based Image Super-Resolution via a Large-Scale Diffusion Discriminator Jianze Li, Jiezhang Cao, Zichen Zou, Xiongfei Su, Xin Yuan, Yulun Zhang, Yong Guo, Xiaokang Yang

NeurIPS 2024 2DQuant: Low-Bit Post-Training Quantization for Image Super-Resolution Kai Liu, Haotong Qin, Yong Guo, Xin Yuan, Linghe Kong, Guihai Chen, Yulun Zhang

ECCV 2024 A Simple Low-Bit Quantization Framework for Video Snapshot Compressive Imaging Miao Cao, Lishun Wang, Huan Wang, Xin Yuan

NeurIPS 2024 Binarized Diffusion Model for Image Super-Resolution Zheng Chen, Haotong Qin, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, Yulun Zhang

CVPR 2024 Binarized Low-Light Raw Video Enhancement Gengchen Zhang, Yulun Zhang, Xin Yuan, Ying Fu

NeurIPS 2024 Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging Jiamian Wang, Zongliang Wu, Yulun Zhang, Xin Yuan, Tao Lin, Zhiqiang Tao

CVPR 2024 Dual-Scale Transformer for Large-Scale Single-Pixel Imaging Gang Qu, Ping Wang, Xin Yuan

CVPRW 2024 Efficient Transformer Adaptation with Soft Token Merging Xin Yuan, Hongliang Fei, Jinoo Baek

NeurIPS 2024 Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation Xin Yuan, Michael Maire

ECCV 2024 Hierarchical Separable Video Transformer for Snapshot Compressive Imaging Ping Wang, Yulun Zhang, Lishun Wang, Xin Yuan

ECCV 2024 Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging Zongliang Wu, Ruiying Lu, Ying Fu, Xin Yuan

CVPR 2024 SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image Yunhao Li, Xiaodong Wang, Ping Wang, Xin Yuan, Peidong Liu

NeurIPS 2024 Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms Mengyu Zhao, Xi Chen, Xin Yuan, Shirin Jalali

NeurIPS 2023 Accelerated Training via Incrementally Growing Neural Networks Using Variance Transfer and Learning Rate Adaptation Xin Yuan, Pedro Savarese, Michael Maire

ICLR 2023 Accurate Image Restoration with Attention Retractable Transformer Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan

NeurIPS 2023 Binarized Spectral Compressive Imaging Yuanhao Cai, Yuxin Zheng, Jing Lin, Xin Yuan, Yulun Zhang, Haoqian Wang

AAAI 2023 Deep Equilibrium Models for Snapshot Compressive Imaging Yaping Zhao, Siming Zheng, Xin Yuan

ICCV 2023 Deep Optics for Video Snapshot Compressive Imaging Ping Wang, Lishun Wang, Xin Yuan

CVPR 2023 EfficientSCI: Densely Connected Network with Space-Time Factorization for Large-Scale Video Snapshot Compressive Imaging Lishun Wang, Miao Cao, Xin Yuan

NeurIPS 2023 Hierarchical Integration Diffusion Model for Realistic Image Deblurring Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan

ICCV 2023 Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging Siming Zheng, Xin Yuan

ECCV 2022 Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool

NeurIPS 2022 Cross Aggregation Transformer for Image Restoration Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan

NeurIPS 2022 Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc V Gool

ECCV 2022 Ensemble Learning Priors Driven Deep Unfolding for Scalable Video Snapshot Compressive Imaging Chengshuai Yang, Shiyu Zhang, Xin Yuan

CVPR 2022 HDNet: High-Resolution Dual-Domain Learning for Spectral Compressive Imaging Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool

CVPR 2022 Mask-Guided Spectral-Wise Transformer for Efficient Hyperspectral Image Reconstruction Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool

ECCV 2022 Modeling Mask Uncertainty in Hyperspectral Image Reconstruction Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao

NeurIPS 2022 Not All Bits Have Equal Value: Heterogeneous Precisions via Trainable Noise Pedro Savarese, Xin Yuan, Yanjing Li, Michael Maire

CVPR 2021 Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging Tao Huang, Weisheng Dong, Xin Yuan, Jinjian Wu, Guangming Shi

ICLR 2021 Growing Efficient Deep Networks by Structured Continuous Sparsification Xin Yuan, Pedro Henrique Pamplona Savarese, Michael Maire

CVPR 2021 Memory-Efficient Network for Large-Scale Video Compressive Sensing Ziheng Cheng, Bo Chen, Guanliang Liu, Hao Zhang, Ruiying Lu, Zhengjue Wang, Xin Yuan

CVPR 2021 MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing Zhengjue Wang, Hao Zhang, Ziheng Cheng, Bo Chen, Xin Yuan

CVPR 2021 Multimodal Contrastive Training for Visual Representation Learning Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta

ICCV 2021 Self-Supervised Neural Networks for Spectral Snapshot Compressive Imaging Ziyi Meng, Zhenming Yu, Kun Xu, Xin Yuan

ICCV 2021 Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution Xiu Li, Jinli Suo, Weihang Zhang, Xin Yuan, Qionghai Dai

ECCV 2020 BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging Ziheng Cheng, Ruiying Lu, Zhengjue Wang, Hao Zhang, Bo Chen, Ziyi Meng, Xin Yuan

ECCV 2020 End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention Ziyi Meng, Jiawei Ma, Xin Yuan

NeurIPSW 2019 Auto-Encoders for Compressed Sensing Pei Peng, Shirin Jalali, Xin Yuan

ECCV 2018 Deep Reinforcement Learning with Iterative Shift for Visual Tracking Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou

ACML 2018 Joint Patch-Group Based Sparse Representation for Image Inpainting Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Ce Zhu

ECCV 2018 Relaxation-Free Deep Hashing via Policy Gradient Xin Yuan, Liangliang Ren, Jiwen Lu, Jie Zhou

AISTATS 2016 A Deep Generative Deconvolutional Image Model Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin

NeurIPS 2016 Variational Autoencoder for Deep Learning of Images, Labels and Captions Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan, Chunyuan Li, Andrew Stevens, Lawrence Carin

ICLR 2015 A Generative Model for Deep Convolutional Learning Yunchen Pu, Xin Yuan, Lawrence Carin

ICML 2015 Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood Xin Yuan, Ricardo Henao, Ephraim Tsalik, Raymond Langley, Lawrence Carin

NeurIPS 2014 Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling Ricardo Henao, Xin Yuan, Lawrence Carin

CVPR 2014 Low-Cost Compressive Sensing for Color Video and Depth Xin Yuan, Patrick Llull, Xuejun Liao, Jianbo Yang, David J. Brady, Guillermo Sapiro, Lawrence Carin