近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
Tao Zhang, Ying Fu, Debing Zhang, Chun Hu. Deep external and internal learning for noisy compressive sensing. Neurocomputing, vol.531, pp.61-73, 2023.
Ye Tian, Ying Fu, Jun Zhang. Joint supervised and unsupervised deep learning method for single-pixel imaging. Optics & Laser Technology, vol.162, pp.109278-109287, 2023.
Ye Tian, Ying Fu, Jun Zhang. Transformer-Based Under-Sampled Single-Pixel Imaging. Chinese Journal of Electronics, vol.33, pp.1-9, 2023.
Xun Lin, Shuai Wang, Jiahao Deng, Ying Fu, Xiao Bai, Xinlei Chen, Xiaolei Qu, Wenzhong Tang. Image manipulation detection by multiple tampering traces and edge artifact enhancement. Pattern Recognition, vol.133, pp.109026-109036, 2023.
Ying Fu, Tao Zhang, Lizhi Wang, Hua Huang. Coded Hyperspectral Image Reconstruction using Deep External and Internal Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol.44, no.7, pp.3404-3420, 2022.
Kaixuan Wei, Ying Fu*, Yinqiang Zheng, Jiaolong Yang. Physics-based Noise Modeling for Extreme Low-light Photography. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no.11, pp. 8520-8537, 2022.
Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang*. Joint Camera Spectral Response Selection and Hyperspectral Image Recovery. IEEE Transactions Pattern Analysis and Machine Intelligence (TPAMI), vol.44, no.1, pp.256-272, 2022.
Ying Fu, Yang Hong, Linwei Chen, Shaodi You. LE-GAN: Unsupervised low-light image enhancement network using attention module and identity invariant loss. Knowledge-Based Systems, vol.240, pp.108010-108020, 2022.
Zeqiang Lai, Kaixuan Wei, Ying Fu*. Deep plug-and-play prior for hyperspectral image restoration. Neurocomputing, vol.481, pp.281-293, 2022.
Kaixuan Wei, Angelica Aviles-Rivero, Jingwei Liang, Ying Fu*, Hua Huang, Carola-Bibiane Schonlieb. TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems. Journal of Machine Learning Research (JMLR), vol.23, no.16, pp.1-48, 2022.
Ye Tian, Ying Fu*, Jun Zhang. Plug-and-play algorithms for single-pixel imaging. Optics and Lasers in Engineering (OLEN), vol.154,pp.106970, 2022.
Linwei Chen, Ying Fu*, Shaodi You, Hongzhe Liu. Hybrid supervised instance segmentation by learning label noise suppression. Neurocomputing, vol.496, pp.131-146, 2022.
Yongrong Zheng, Tao Zhang, Ying Fu*. A large-scale hyperspectral dataset for flower classification. Knowledge-Based Systems, vol.236, pp.107647-107658, 2022.
Tao Zhang, Zhiyuan Liang, and Ying Fu*. Joint Spatial-Spectral Pattern Optimization and Hyperspectral Image Reconstruction. IEEE Journal of Selected Topics in Signal Processing (IEEE J-STSP), vol.16, no.4, pp.636-648, 2022.
Linwei Chen, Zheng Fang, and Ying Fu*. Consistency-Aware Map Generation at Multiple Zoom Levels Using Aerial Image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE J-Stars), vol.22, pp.5953-5966, 2022.
Tao Zhang, Ying Fu*, and Jun Zhang. Guided Hyperspectral Image Denoising with Realistic Data. International Journal of Computer Vision (IJCV), vol.130, no.11, pp.2885-2901, 2022.
Xue Li, Jia Peng, Tao Zhang, Mingrui Liu, Ying Fu*, Haizheng Zhong and Jun Zhang. Quantum Dots‐Functionalized Encryption Camera for Text Image Security Protection. Advanced Intelligent Systems, pp.2200171-2200177, 2022.
Ye Tian, Ying Fu* and Jun Zhang. Plug-and-Play algorithm for under-sampling Fourier single-pixel imaging. Science China Information Sciences, vol.65, no.10, pp.1-2, 2022.
Ying Fu*, Zheng Fang, Linwei Chen, Tao Song and Defu Lin. Level-Aware Consistent Multi-level Map Translation From Satellite Imagery. IEEE Transactions on Geoscience and Remote Sensing (TGRS), pp.1-14, 2022.
Yixiao Yang, Ran Tao, Kaixuan Wei, Ying Fu*. Dynamic proximal unrolling network for compressive imaging. Neurocomputing, vol.510, pp.203-217, 2022.
Ying Fu*, Zichun Wang, Tao Zhang, Jun Zhang. Low-light Raw Video Denoising with a High-quality Realistic Motion Dataset. IEEE Transactions on Multimedia (TMM), pp.1-13, 2022.
Yunhao Zou, Ying Fu*. Estimating Fine-Grained Noise Model via Contrastive Learning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.12682-12691, 2022.
Tao Zhang, Ying Fu*, Cheng Li. Deep Spatial Adaptive Network for Real Image Demosaicing. In Proceedings of AAAI Conference on Artificial Intelligence (AAAI), vol.36, no.3, pp.3326-3334, 2022.
Fan Zhang, Shaodi You, Yu Li, Ying Fu*. HSI-Guided Intrinsic Image Decomposition for Outdoor Scenes. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, pp.313-322, 2022.
Xin Ding, Tsuyoshi Takatani, Zhongyuan Wang, Ying Fu* and Yinqiang Zheng. Event-guided Video Clip Generation from Blurry Images. Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), pp.2672-2680, 2022.
Miaoyu Li, Ying Fu*, Yulun Zhang. Spatial-Spectral Transformer for Hyperspectral Image Denoising. Advanced Intelligent Systems, In Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2022. [pdf] [code]
Gengchen Zhang, Yuhang Zeng, Ying Fu. Low Light Video Enhancement Based on Temporal-Spatial Complementary Feature. Artificial Intelligence: Second CAAI International Conference (CICAI), pp.368-379, 2022.
Ying Fu, Yingkai Zhang. Reinforcement Learning Based Plug-and-Play Method for Hyperspectral Image Reconstruction. Artificial Intelligence: Second CAAI International Conference (CICAI), pp.466-477, 2022.
Ying Fu, Jian Chen, Tao Zhang, Yonggang Lin. Residual Scale Attention Network for Arbitrary Scale Image Super-resolution. Neurocomputing, vol.427, pp.201-211, 2021.
Huanglu Wen, Shaodi You, Ying Fu*. Cross-modal Context-gated Convolution for Multi-modal Sentiment Analysis. Pattern Recognition Letters (PRL), vol.146,pp. 252-259, 2021.
Ying Fu, Zhiyuan Liang, Shaodi You. Bidirectional 3D Quasi-Recurrent Neural Network for Hyperspectral Image Super-Resolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE J-STARS), vol.14, pp.2674-2688, 2021.
Linwei Chen, Ying Fu*, Shaodi You, Hongzhe Liu. Efficient Hybrid Supervision for Instance Segmentation in Aerial Images. Remote Sensing, vol.13, no.2, pp.252-273, 2021.
Ying Fu*, Shuaizhe Liang, Dongdong Chen, Zhanlong Chen. Translation of Aerial Image Into Digital Map via Discriminative Segmentation and Creative Generation. IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol.60, pp.1-15, 2021.
Yunhao Zou, Yinqiang Zheng, Tsuyoshi Takatani. Ying Fu*. Learning to Reconstruct High Speed and High Dynamic Range Videos from Events. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.2024-2033, 2021.
Fan Zhang, Yu Li, Shaodi You, Ying Fu*. Learning Temporal Consistency for Low Light Video Enhancement from Single Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.4967-4976, 2021.
Yuhang Zeng, Yunhao Zou, Ying Fu*. 3D2Unet: 3D Deformable Unet for Low-Light Video Enhancement. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), pp.66-77, 2021.
Ruizhi Shao, Gaochang Wu, Yuemei Zhou, Ying Fu, Lu Fang, Yebin Liu. LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp.14890-14899, 2021.
Yuxuan Han, Jiaolong Yang, Ying Fu. Disentangled Face Attribute Editing via Instance-Aware Latent Space Search. International Joint Conference on Artificial Intelligence (IJCAI), pp.715-721, 2021.
Yuxing Huang, Qiu Shen, Ying Fu, Shaodi You. Weakly-Supervised Semantic Segmentation in Cityscape via Hyperspectral Image. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, pp. 1117-1126, 2021.
Tao Zhang, Ying Fu*, Cheng Li. Hyperspectral Image Denoising With Realistic Data. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp.2248-2257, 2021.
Yuemei Zhou, Gaochang Wu, Ying Fu, Kun Li, Yebin Liu. Cross-MPI: Cross-scale Stereo for Image Super-Resolution using Multiplane Images. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.14842-14851, 2021.
Xiang An, Xuhan Zhu, Yuan Gao, Yang Xiao, Yongle Zhao, Ziyong Feng, Lan Wu, Bin Qin, Ming Zhang, Debing Zhang, Ying Fu. Partial fc: Training 10 million identities on a single machine. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, pp.1445-1449, 2021.
Yang Hong, Kaixuan Wei, Linwei Chen, Ying Fu*. Crafting Object Detection in Very Low Light. British Machine Vision Conference (BMVC).
Kaixuan Wei, Ying Fu*, Hua Huang. 3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol.32, no.1, pp.363-375, 2020.
Ying Fu, Yunhao Zou, Liheng Bian, Yuxiang Guo, Hua Huang*. Illumination Modulation for Reflective and Fluorescent Separation. Optics Letters (OL), vol.45, no.5, pp.1120-1123, 2020.
Ying Fu, Yongrong Zheng, Lin Zhang, Yinqiang Zheng, Hua Huang*. Simultaneous Hyperspectral Image Super-resolution and Geometric Alignment With a Hybrid Camera System. Neurocomputing, vol.384, pp.282-294, 2020.
Yunhao Zou, Ying Fu*, Yinqiang Zheng, Wei Li. CSR-Net: Camera Spectral Response Network for Dimensionality Reduction and Classification in Hyperspectral Imagery. Remote Sensing, vol.12, no.20, pp.3294-3314, 2020.
Kaixuan Wei, Angelica Aviles-Rivero, Jingwei Liang, Ying Fu*, Carola-Bibiane Schnlieb, Hua Huang. Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. International Conference on Machine Learning (ICML), Vienna, Austria, pp.10158-10169, 2020. (Oral, Outstanding Paper Award)
Kaixuan Wei, Ying Fu*, Jiaolong Yang, Hua Huang. A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, U.S.A., pp.2758-2767, 2020. (Oral)
Lizhi Wang, Chen Sun, Maoqing Zhang, Ying Fu, Hua Huang*. DNU: Deep Non-Local Unrolling for Computational Spectral Imaging. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, U.S.A., pp.1661-1671, 2020.
Lizhi Wang, Tao Zhang, Ying Fu*, Hua Huang. HyperReconNet: Joint Coded Aperture Optimization and Image Reconstruction for Compressive Hyperspectral Imaging. IEEE Transactions on Image Processing (TIP), vol.28, no.5, pp.2257-2270, 2019.
Ye Xiang, Ying Fu*, Hua Huang. Global Topology Constraint Network for Fine-Grained Vehicle Recognition. IEEE Transactions on Intelligent Transportation Systems (TITS), vol.21, no.7, pp.2918-2929, 2019.
Ying Fu, Yunhao Zou, Yinqiang Zheng, Hua Huang*. Spectral Reflectance Recovery using Optimal Illuminations. Optics Express (OE), vol.27, no.27, pp.30502-30516, 2019.
Kaixuan Wei, Ying Fu*. Low-rank Bayesian Tensor Factorization for Hyperspectral Image Denoising. Neurocomputing, vol.331, pp.412-423, 2019.
Hua Huang, Guangtao Nie, Yinqiang Zheng, Ying Fu*. Image Restoration from Patch-based Compressed Sensing Measurement. Neurocomputing, vol.340, pp.145-157, 2019.
Ye Xiang, Ying Fu*, Hua Huang. Global Relative Position Space Based Pooling for Fine-grained Vehicle Recognition. Neurocomputing, vol.367, pp.287-298, 2019.
Tao Zhang, Ying Fu*, Lizhi Wang, Hua Huang. Hyperspectral Image Reconstruction using Deep External and Internal Learning. IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, pp.8559-8568, 2019.
Ye Xiang, Ying Fu*, Pan Ji, Hua Huang. Incremental Learning Using Conditional Adversarial Networks. IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, pp.6619-6628, 2019.
Shipeng Zhang, Lizhi Wang*, Ying Fu, Xiaoming Zhong, Hua Huang. Computational Hyperspectral Imaging Based on Dimension-discriminative Low-rank Tensor Recovery. IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, pp.10183-10192, 2019.
Kaixuan Wei, Jiaolong Yang, Ying Fu*, David Wipf, Hua Huang. Single Image Re?ection Removal Exploiting Misaligned Training Data and Network Enhancements. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, U.S.A., pp.8178-8187, 2019.
Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang*. Hyperspectral Image Super-Resolution with Optimized RGB Guidance. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, U.S.A., pp.11661-11670 2019.
Lizhi Wang, Chen Sun, Ying Fu, Min H. Kim, Hua Huang*. Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, U.S.A., pp.8032-8041, 2019.
Yixi Xiang, Ying Fu*, Lei Zhang, Hua Huang. An Effective Network With ConvLSTM for Low-Light Image Enhancement. 2nd Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Xi'an, China, pp. 221-233, 2019.
Ying Fu, Yinqiang Zheng, Hua Huang*, Imari Sato, Yoichi Sato. Hyperspectral Image Super-Resolution With a Mosaic RGB Image. IEEE Transactions on Image Processing (TIP), vol.27, no.11, pp.5539-5552, 2018.
Ying Fu, Yongrong Zheng, Lin Zhang, Hua Huang*. Spectral Reflectance Recovery From a Single RGB Image. IEEE Transactions on Computational Imaging (TCI), vol.4, no.3, pp.382-394, 2018.
Shipeng Zhang, Hua Huang*, Ying Fu. Fast Parallel Implementation of Dual-camera Compressive Hyperspectral Imaging System. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol.29, no.11, pp.3404-3414, 2018.
Yonggang Lin, Yongrong Zheng, Ying Fu*, Hua Huang. Hyperspectral Image Super-resolution Under Misaligned Hybrid Camera System. IET Image Processing, vol.12, no.10, pp.1824-1831, 2018.
Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang*. Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery. European Conference on Computer Vision (ECCV), Munich, Germany, pp.788-804, 2018.
Ying Fu, Chen Sun, Lizhi Wang, Hua Huang*. Snapshot Multiplexed Imaging Based on Compressive Sensing. Pacific Rim Conference on Multimedia (PCM), Hefei, China, pp.465-475, 2018.
Shipeng Zhang, Lizhi Wang*, Ying Fu, Hua Huang. GPU Assisted Towards Real-Time Reconstruction for Dual-Camera Compressive Hyperspectral Imaging. Pacific Rim Conference on Multimedia (PCM), Hefei, China, pp.711-720, 2018.
Ying Fu, Antony Lam, Imari Sato, and Yoichi Sato. Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Restoration. International Journal of Computer Vision (IJCV), vol.122, no.5, pp. 228-245, 2017.
Ying Fu, Antony Lam, Imari Sato, Takahiro Okabe, Yoichi Sato. Reflectance and Fluorescent Spectra Recovery via Actively Lit RGB Images. IEEE Transactions Pattern Analysis and Mahine Intelligence (TPAMI), vol.38, no.7, pp.1313-1326, 2016.
Ying Fu, Antony Lam, Imari Sato, Takahiro Okabe, Yoichi Sato. Separating Reflective and Fluorescent Components using High Frequency Illumination in the Spectral Domain. IEEE Transactions Pattern Analysis and Machine Intelligence (TPAMI), vol.38, no.5, pp.965-978, 2016.
Lin Zhang, Ying Fu, Yinqiang Zheng, Hua Huang. Camera Spectral Sensitivity, Illumination and Spectral Reflectance Estimation for a Hybrid Hyperspectral Image Capture System. IEEE International Conference on Image Processing (ICIP), Beijing, China, pp.545-545, 2017.
Ying Fu, Yinqiang Zheng, Imari Sato, Yoichi Sato. Exploiting Spectral-Spatial Correlation for Coded Hyperspectral Image Restoration. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, U.S.A., pp.3727-3736, 2016.
Ying Fu, Antony Lam, Imari Sato, Yoichi Sato. Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising. IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, pp.343-351, 2015.
Yinqiang Zheng, Ying Fu, Antony Lam, Imari Sato, Yoichi Sato. Separating Fluorescent and Reflective Components by Using a Single Hyperspectral Image. IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, pp.3523-3531, 2015.
Ying Fu, Antony Lam, Yasuyuki Matsushita, Imari Sato, Yoichi Sato. Interreflection Removal Using Fluorescence. European Conference on Computer Vision (ECCV), Zurich, Switzerland, pp.203-217, 2014.
Ying Fu, Antony Lam, Yasuyuki Kobashi, Imari Sato, Takahiro Okabe, Yoichi Sato. Reflectance and Fluorescent Spectra Recovery based on Fluorescent Chromaticity Invariance under Varying Illumination. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, U.S.A., pp.2163-2170, 2014(Oral)
Ying Fu, Antony Lam, Imari Sato, Takahiro Okabe, Yoichi Sato. Separating Reflective and Fluorescent Components using High Frequency Illumination in the Spectral Domain. IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, pp.457-464, 2013. (Oral)
Ying Fu, Yebin Liu, Qionghai Dai. Dynamic Shape Capture via Periodical-illumination Optical Flow Estimation and Multi-view Photometric Stereo. International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), Hangzhou, China, pp.17-24, 2011. (Oral)
京公网安备 11010802027423号