Publication

See also my publication list in Google Scholar

Upcoming
  • Unsupervised Deep Background Matting Using Deep Matte Prior [PDF]
    Y. Xu, B. Liu, Y. Quan, and H. Ji,
    IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), xxx(x), xx-xx, xxx, 2021
  • Non-blind image deblurring via deep learning in complex field [PDF]
    Y. Quan, P. Lin, Y. Xu, Y. Nan, and H. Ji,
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), xxx(x), xx-xx, xxx, 2021
2022
  • Deep Scale-aware image smoothing [PDF]
    J. Li, K. Qin, R. Xu and H. Ji
    IEEE International Conference on Acoustics, Speech and Signal Processing, (ICASSP), 2022
2021
  • Gaussian kernel mixture network for single image defocus deblurring [PDF] [Github]
    Y. Quan, Z. Wu, H. Ji,
    Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS), Dec., 2021
  • Learnable multi-scale Fourier interpolation for sparse view CT image reconstruction [PDF]
    Q. Ding, H. Ji, H. Gao and X. Zhang,
    24th International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), Oct., 2021
  • Deep learning with adaptive hyper-parameters for low-dose CT image reconstruction [PDF]
    Q. Ding, Y. Nan, H. Gao and H. Ji,
    IEEE Transactions on Computational Imaging (TCI), 7, 648-660, Jun., 2021
  • Recorrupted-to-Recorrupted: Unsupervised deep learning for image denoising [PDF]
    T. Pang, H. Zheng, Y. Quan, and H. Ji,
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, Jun., 2021
  • Texture recognition via exploiting cross-layer statistical self-similarity [PDF]
    Y. Quan, Z. Chen, F. Li, Y. Xu, and H. Ji,
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR
    ), Nashville, Jun., 2021
  • Watermarking deep neural networks in image processing [PDF] [Github]
    Y. Quan, H. Teng, Y. Chen, and H. Ji,
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 32(5), 1852-1865, May, 2021
  • Attentive deep network for blind motion deblurring on dynamic scenes [PDF]
    Y. Xu, Y. Zhu, Y. Quan, and H. Ji,
    Computer Vision and Image Understanding (CVIU), 205, 103169, Apr., 2021
  • Image denoising using complex-valued deep CNN [PDF]
    Y. Quan, Y. Chen, Y. Shao, H. Teng, Y. Xu, and H. Ji,
    Pattern recognition (PR), 111, Mar. 2021
  • Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction [Link]
    J. Liu, A. Aviles-Rivero, H. Ji, and C. Schonlieb,
    Medical Image Analysis (MedIA), 68, 101930, Feb., 2021
2020
  • Self-supervised Bayesian deep learning for image recovery with applications to compressed sensing [PDF] [Github]
    T. Pang, Y. Quan, and H. Ji,
    European Conference on Computer Vision (ECCV), Aug., 2020
  • Multi-scale discrete framelet transform for graph-structured signals  [PDF]
    H. Ji, Z. Shen, and Y. Zhao, 
    SIAM Journal on Multiscale Modeling and Simulation (SIAM MMS), 18(3), 1210–1241, Jul., 2020
  • Cartoon-texture image decomposition using orientation characteristics in patch recurrence [PDF]
    R. Xu, Y. Xu, Y. Quan, and H. Ji,
    SIAM Journal on Imaging Sciences (SIAM SIIMS), 13(3), 1179–1210, 2020
  • Learnable Douglas-Rachford iteration and its applications in DOT imaging [PDF] [Github]
    J. Liu, N. Chen, and H. Ji,
    Inverse Problems and Imaging (IPI), 14(4), Aug., 2020
  • Low-dose CT with deep learning regularization via proximal forward backward splitting [Link]
    Q Ding, G Chen, X Zhang, Q Huang, H Ji, H Gao,
    Physics in Medicine & Biology, 65(12), 125009, Jun., 2020
  • Self2Self with dropout: Learning self-supervised denoising from single image [PDF] [Github]
    Y. Quan, M. Chen, T. Pang, and H. Ji,
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Jun. 2020
  • Variational-EM-based deep learning for noise-blind image deblurring [PDF], [GitHub]
    Y. Nan, Y. Quan, and H. Ji,
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Jun. 2020
  • Deep Learning for handling kernel/model uncertainty in image deconvolution [PDF] [GitHub]
    Y. Nan and H. Ji,
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Jun. 2020
  • Collaborative deep learning for super-resolving blurry text images [PDF] [Github]
    Y. Quan, J. Yang, Y. Chen, Y. Xu, and H. Ji,
    IEEE Transactions on Computational Imaging (IEEE TCI), 6, 778–790, Mar., 2020
  • Image denoising via sequential ensemble learning [PDF] [Github]
    X. Yang, Y. Xu, Y. Quan, and H. Ji,
    IEEE Transactions on Image Processing (IEEE TIP), 29, 5038-5049, Mar., 2020
  • Removing reflection from a single image with ghosting effect [PDF]
    Y. Huang, Y. Quan, Y. Xu, R. Xu, and H. Ji,
    IEEE Transactions on Computational Imaging (IEEE TCI), 6, 34-45, Feb. 2020
2019
  • Barzilai-Borwein-based adaptive learning rate for deep learning [PDF]
    J. Liang, Y. Xu, C. Bao, Y. Quan and H. Ji,
    Pattern Recognition Letter, 128(1), 197-203, Dec. 2019
  • Attention with structure regularization for action recognition [PDF]
    Y. Quan, Y. Chen and R. Xu, and H. Ji,
    Computer Vision and Image Understanding (CVIU), 187, 102704, Oct. 2019
  • Deep learning for seeing through window with raindrops [PDF]  [Github]
    Y. Quan, S. Deng, Y. Chen, and H. Ji,
    International Conference on Computer Vision (ICCV), Seoul, 2019
  • Cortical graph neural network for AD and MCI diagnosis and transfer learning across populations [Link]
    C. Wee, C. Liu, A. Lee, J. Poh, H. Ji, and A. Qiu,
    NeuroImage: Clinical, 23, 101929, 2019
  • Digital Gabor filters do generate MRA-based wavelet tight frames  [PDF]
    H. Ji, Z. Shen, and Y. Zhao, 
    Applied and Computational Harmonic Analysis  (ACHA), 47(1), 87-108, Jul. 2019
  • A variational EM framework with adaptive edge selection for blind motion deblurring [PDF]
    L. Yang and H. Ji,
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Los Angeles, 2019
2018
  • Investigating energy-based pool structure selection in the structure ensemble modeling with experimental distance constraints: The example from a multidomain protein Pub1  [Link]
    G. Zhu, W. Liu, C. Bao, D. Tong, H. Ji, Z. Shen, D. Yang, L. Lu, 
    Proteins: Structure, Function, and Bioinformatics, 86(5), 501-514, 2018
  • Coherence retrieval using trace regularization  [PDF]
    C. Bao, G. Barbastathis, H. Ji, Z. Shen, and Z. Zhang, 
    SIAM Journal on Imaging Sciences (SIAM SIIMS), 11(1), 679–706, Mar. 2018
  • Digital Gabor filters with MRA structure  [PDF]
    H. Ji, Z. Shen, and Y. Zhao, 
    SIAM Journal on Multiscale Modeling and Simulation (SIAM MMS), 16(1), 452–476. Mar. 2018
2017
  • Apparent coherence loss in phase space tomography  [PDF]
    C. Bao, G. Barbastathis, H. Ji, Z. Shen, and Z. Zhang, 
    Journal of the Optical Society of America A34(11), (JOSA), 2025-2033, 2017
  • Estimating defocus blur through rank of local patches  [PDF][Code]
    G. Xu, Y. Quan and H. Ji,
    International Conference on Computer Vision (ICCV), Venice, 2017
  • Directional frames for image recovery: Multi-scale discrete Gabor frames  [PDF]
    H. Ji, Z. Shen and Y. Zhao, 
    Journal of Fourier Analysis and Applications (JFAA), 23(4), 729-757, Aug. 2017
2016
  • Image recovery via geometrically structured approximation  [PDF]
    H. Ji, Y. Luo and Z. Shen, 
    Applied and Computational Harmonic Analysis, (ACHA), 41(1), 75-93, Jul. 2016
  • An augmented Lagrangian method for L1-regularized optimization problems with orthogonality constraints  [PDF]
    W. Chen, H. Ji and Y. You, 
    SIAM Journal on Scientific Computing (SIAM SISC), 38(4), B570-B592, 2016
  • Dictionary learning for sparse coding: Algorithms and analysis  [PDF]
    C. Bao, H. Ji, Y. Quan and Z. Shen, 
    IEEE Transactions on Pattern Analysis and Machine Intelligence, (IEEE PAMI), 38(7), 1356-1369, Jul. 2016
  • Equiangular kernel Dictionary learning with applications to dynamic texture analysis  [PDF]
    Y. Quan, C. Bao and H. Ji, 
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
  • Sparse coding for classification via discrimination ensemble  [PDF]
    Y. Quan, Y. Xu, Y. Sun, Y. Huang and H. Ji, 
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
  • Cerebellar functional parcellation using sparse dictionary learning clustering  [Link]
    C. Wang, J. Kipping, C. Bao, H. Ji and A. Qiu, 
    Frontiers in Neuroscience, 10(188), May. 2016
  • Dual Gramian analysis: Duality principle and unitary extension principle  [PDF]
    Z. Fan, H. Ji and Z. Shen, 
    AMS Mathematics of Computation (AMS MCOM), 85, 239-270, 2016
2015
  • Dynamic texture recognition via orthogonal tensor dictionary learning  [PDF]
    Y. Quan, Y. Huang and H. Ji, 
    International Conference on Computer Vision (ICCV), 2015
  • Removing rain from a single image via discriminative sparse coding  [PDF],  [Code]
    Y. Luo, Y. Xu and H. Ji, 
    International Conference on Computer Vision (ICCV), 2015
  • Classifying dynamic textures via spatiotemporal fractal analysis  [PDF]
    Y. Xu, Y. Quan, Z. Zhang, H. Ling and H. Ji,  
    Pattern Recognition48(10) (PR), 3239-3248, Oct. 2015
  • Data-driven multi-scale non-local wavelet frame construction and image recovery  [PDF], [Code]
    Y. Quan, H. Ji and Z. Shen, 
    Journal of Scientific Computing, 63(2), 307-329, May. 2015
  • Convergence analysis for iterative data-driven tight frame construction scheme  [PDF]
    C. Bao, H. Ji and Z. Shen,  
    Applied and Computational Harmonic Analysis (ACHA), 38(3), 510-523, May. 2015
2014
  • A convergent incoherent dictionary learning algorithm for sparse coding  [PDF]
    C. Bao, Y. Quan and H. Ji, 
    European Conference on Computer Vision (ECCV),  2014
  • Data-driven tight frame construction and image denoising  [PDF], [Code]
    J. Cai, H. Ji, Z. Shen and G. Ye, 
    Applied and Computational Harmonic Analysis, (ACHA), 37(1), 89-105, Jul. 2014
  • L0 norm based dictionary learning by proximal methods with global convergence  [PDF], [Code]
    C. Bao, H. Ji, Y. Quan and Z. Shen,
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
  • Wavelet frame based algorithm for 3D reconstruction in electron microscopy  [PDF]
    M. Li, Z. Fan, H. Ji and Z. Shen, 
    SIAM Journal on Scientific Computing, (SIAM SISC), 36(1), B45-B69, Jan. 2014
2013
  • Fast sparsity-based orthogonal dictionary learning for image restoration  [PDF
    C. Bao, J. Cai and H. Ji, 
    International Conference on Computer Vision (ICCV), 2013
  • Recovering over/under-exposed regions of a color photograph  [PDF
    L. Hou, H. Ji and Z. Shen,
    SIAM Journal on Imaging Sciences6(4) (SIAM SIIMS), 2213–2235, Nov. 2013
  • Band-limited wavelets and framelets in low dimensions  [PDF
    L. Hou and H. Ji, 
    Journal of Fourier Analysis and Applications, (JFAA), 19(4), 731-761, Aug. 2013
  • Wavelet domain multi-fractal analysis for static and dynamic texture classification  [PDF
    H. Ji, X. Yang, H. Ling and Y. Xu, 
    IEEE Transactions on Image Processing, (IEEE TIP), 22(1), 286-299, Jan. 2013
2012
  • Scale-space texture description on SIFT-like textons  [PDF]
    Y. Xu, S. Huang, H. Ji and C. Fermuller,
     Computer Vision and Image Understanding, (CVIU), 116(9), 999-1013, Sep. 2012
  • A two-stage approach to blind spatially-varying motion deblurring  [PDF]
    H. Ji and K. Wang, 
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
  • Real time robust L1 tracker using accelerated proximal gradient approach  [PDF]
    C. Bao, Y. Wu, H. Ling and H. Ji, 
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
  • Contour based recognition  [PDF]
    Y. Xu, Y. Quan, Z. Zhang, H. Ji, M. Nishigaki, C. Fermuller and D. Dementhon, 
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR),  2012
  • Robust image deconvolution with an inaccurate blur kernel  [PDF], [Code]
    H. Ji and K. Wang, 
    IEEE Transactions on Image Processing (IEEE TIP), 21(4), 1624-1634, Apr. 2012
  • Image deconvolution using a characterization of sharp images in wavelet domain  [PDF]
    H. Ji, J. Li, Z. Shen, and K. Wang, 
    Applied and Computational Harmonic Analysis (ACHA), 32(2), 295-304, Mar. 2012
  • Wavelet frame based blind image inpainting  [PDF]
    B. Dong, H. Ji, J. Li, Z. Shen, 
    Applied and Computational Harmonic Analysis, (ACHA), 32(2), 268-279, Mar. 2012
  • Framelet based blind image deblurring from a single image  [PDF], [Code]
    J. Cai, H. Ji, C. Liu and Z. Shen,
    IEEE Transactions on Image Processing, (IEEE TIP),  1(2), 562-572, Feb. 2012
2011
  • Robust video restoration by joint sparse and low rank matrix approximation  [PDF], [Code]
    H. Ji, S. Huang, Z. Shen, and Y.-H. Xu, 
    SIAM Journal on Imaging Sciences  (SIAM SIIMS), 4(4), 1122-1142, Nov. 2011
  • Wavelet frame based image restoration with missing/damaged pixels  [PDF]
    H. Ji, Z. Shen and Y.-H. Xu, 
    East Asia Journal on Applied Mathematics, 1(2), 108-131, 2011
  • Dynamic texture classification using dynamic fractal analysis  [PDF]
    Y. Xu, Y. Quan, H. Lin and H. Ji, 
    International Conference on Computer Vision (ICCV), 2011
2010
  • Inpainting for compressed images  [PDF]
    J. Cai, H. Ji, F. Shang and Z. Shen, 
    Applied and Computational Harmonic Analysis (ACHA), 29(3), 368-381, Nov. 2010
  • Learning shift-invariant sparse representation of actions  [PDF]
    Y. Li, C. Fermuller, Y. Aloimonos and H. Ji, 
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
  • A new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid  [PDF]
    Y. Xu, X. Yang, H. Ling and H. Ji, 
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
  • Robust video denoising using low rank matrix completion  [PDF]
    H. Ji, C. Liu, Z. Shen and Y.-H. Xu, 
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
  • Wavelet frame based scene reconstruction from range data  [PDF]
    H. Ji, Z. Shen and Y.-H. Xu, 
    Journal of Computational Physics229 (JCP), (6), 2093-2018, Mar. 2010
  • Illusory motion due to causal time filtering  [PDF]
    C. Fermuller, H. Ji and A. Kitaoka, 
    Vision Research, 50 (3), 315-329, Feb. 2010
2009
  • Blind motion deblurring using multiple images  [PDF]
    J. Cai, H. Ji, C. Liu and Z. Shen, 
    Journal of Computational Physics (JCP), 228 (14), 5057-5071, Aug. 2009
  • Combining powerful local and global statistics for texture description  [PDF]
    Y. Xu, S. Huang, H. Ji and C. Fermuller, 
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009
  • Blind motion deblurring from a single image using sparse approximation  [PDF], [Code]
    J. Cai, H. Ji, C. Liu and Z. Shen, 
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009
  • High-quality curvelet-based motion deblurring using an image pair  [PDF]
    J. Cai, H. Ji, C. Liu and Z. Shen, 
    IEEE Conference Computer Vision and Pattern Recognition (CVPR), 2009
  • Viewpoint invariant texture description using fractal analysis  [PDF]
    Y. Xu, H. Ji and C. Fermuller, 
    International Journal of Computer Vision (IJCV), 83 (1), 85-100, Jun. 2009
  • Compactly supported orthonormal complex wavelets with dilation four and symmetry  [PDF]
    B. Han and H. Ji, 
    Applied and Computational Harmonic Analysis (ACHA), 26, 422-431, May 2009
  • Robust wavelet-based super-resolution reconstruction: Theory and Algorithm  [PDF]
    H. Ji and C. Fermuller,
    IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE PAMI), 31(4), 649-660, Apr. 2009
2008 and before
  • Motion blur identification from image gradients  [PDF
    H. Ji and C. Liu,
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008
  • Noise cause slant underestimation in motion and stereo  [Download
    H. Ji, C. Fermuller,
    Vision Research, 46 (19), 3105-3120, Aug. 2006
  • A 3D shape constraint on video  [Download
    H. Ji, C. Fermuller,
    IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE PAMI), 28(6), 1018-1023, Jun. 2006
  • Super-resolution reconstruction from extended video sequences,  [PDF
    H. Ji, C. Fermuller,
    European Conference on Computer Vision (ECCV), 2006
  • A projective invariant for textures  [PDF
    Y. Xu, H. Ji and C. Fermuller,
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York, 2006
  • Integration of motion fields through shape  [PDF
    H. Ji and C. Fermuller,
    IEEE Conference Computer Vision and Pattern Recognition (CVPR),San Diego, 2005
  • Bias in shape estimation  [Link
    H. Ji and C. Fermuller,
    European Conference on Computer Vision (ECCV), 405-416, Czech, 2004
  • Compactly supported (bi) orthogonal wavelets generated by interpolatory refinable functions  [PDF
    H. Ji and Z. Shen,
    Advances in Computational Mathematics,11 (1), 81-104, 1999
  • Multivariate compactly supported fundamental refinable functions, duals, and biorthogonal wavelets  [PDF
    H Ji, SD Riemenschneider, Z Shen,
    Studies in Applied Mathematics 102 (2), 173-204, 1999

 

 

 

 

 

 

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