[Copyright notice]

   Newly Accepted

• Rethinking early-fusion strategies for improved multispectral object detection
  X. Zhang, S. Y. Cao, F. Wang, R. Zhang, Z. Wu, X. Zhang, X. Bai, and H. L. Shen,
  IEEE Transactions on Intelligent Vehicles (TIV),
  early access.

• TFDet: Target-aware fusion for RGB-T pedestrian detection
  X. Zhang, X. Zhang, J. Ying, Z. Sheng, H. Yu, C. Li, and H. L. Shen,
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS),
  early access.

   2025

• SGDet3D: Semantics and geometry fusion for 3D object detection using 4D radar and camera
  X. Bai, Z. Yu, L. Zheng, X. Zhang, Z. Zhou, X. Zhang, F. Wang, J. Bai, and H. L. Shen
  IEEE Robotics and Automation Letters,
  10(1), 828-835, 2025.

• SGDFormer: One-stage transformer-based architecture for cross-spectral stereo image guided denoising
  R. Zhang, Z. Yu, Z. Sheng, J. Ying, S. Y. Cao, S. J. Chen, B. Yang, J. Li, and H. L. Shen
  Information Fusion,
  113, article 102603, 2025.

• STARNet: Low-light video enhancement using spatio-temporal consistency aggregation
  Z. Wu, Z. Sheng, X. Zhang, S. Y. Cao, R. Zhang, B. Yu, C. Zhang, B. Yang, and H. L. Shen
  Pattern Recognition,
  160, article 111180, 2025.

   2024

• Context and geometry aware voxel transformer for semantic scene completion
  Z. Yu, R. Zhang, J. Ying, L. Luo, J. Yu, X. Hu, S. Y. Cao, and H. L. Shen
  The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS),
  December 9-12, 2024.

• SCPNet: Unsupervised cross-modal homography estimation via intra-modal self-supervised learning
  R. Zhang, J. Ma, L. Luo, B. Yu, S. Chen, J. Li, H. L. Shen, and S. Y. Cao
  European Conference on Computer Vision (ECCV),
  September 29 - October 4, 2024.

• MCNet: Rethinking the core ingredients for accurate and efficient homography estimation
  H. Zhu, S. Y. Cao, J. Hu, S. Zuo, B. Yu, J. Ying, J. Li, and H. L. Shen
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
  June 19-21, 2024.

• MRF3Net: An Infrared small target detection network using multi-receptive field perception and effective feature fusion
  X. Zhang, X. Zhang, S. Y. Cao, B. Yu, C. Zhang, and H. L. Shen
  IEEE Transactions on Geoscience and Remote Sensing (TGRS),
  62, article 5629414, 2024.

   2023

• Vignetting correction using an optical model and constant chromaticity prior
  B. Yu, J. Ying, L. Luo, S. Y. Cao, and H. L. Shen
  IEEE Transactions on Computational Imaging (TCI),
  9, 1071-1083, 2023. [PDF][Code]

• Aggregating 3D information for depth completion
  Z. Yu, Z. Sheng, Z. Zhou, L. Luo, S. Y. Cao, H. Gu, H. Zhang, and H. L. Shen
  IEEE International Conference on Computer Vision (ICCV),
  8732-8743, October 2-6, 2023. [PDF]

• BEVPlace: Learning LiDAR-based place recognition using bird's eye view images
  L. Luo, S. Zheng, Y. Li, Y. Fan, B. Yu, S. Y. Cao, J. Li, and H. L. Shen
  IEEE International Conference on Computer Vision (ICCV),
  8700-8709, October 2-6, 2023. [PDF]

• Recurrent homography estimation using homography-guided image warping and focus transformer
  S. Y. Cao, R. Zhang, L. Luo, B. Yu, Z. Sheng, H. L. Shen, and J. Li,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
  9833-9842, June 18-22, 2023. [PDF]

• Structure aggregation for cross-spectral stereo image guided denoising
  Z. Sheng, Z. Yu, X. Liu, S. Y. Cao, Y. Liu, H. L. Shen, and H. Zhang,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
  13997-14006, June 18-22, 2023. [PDF]

• Guided colorization using mono-color image pairs
  Z. Sheng, H. L. Shen, B. Yao, and H. Zhang,
  IEEE Transactions on Image Processing (TIP),
  32, 905-920, 2023. [PDF]

• Frequency-domain deep guided denoising
  Z. Sheng, X. Liu, S. Y. Cao, H. L. Shen, and H. Zhang,
  IEEE Transactions on Multimedia (TMM),
  25, 6767-6781, 2023. [PDF]

• PCNet: A structure similarity enhancement method for multispectral and multimodal image registration
  S. Y. Cao, B. Yu, L. Luo, R. Zhang, S. J. Chen, C. Li, and H. L. Shen,
  Information Fusion,
  94, 200-214, 2023. [PDF]

• Region-aware RGB and near-infrared image fusion
  J. Ying, C. Tong, Z. Sheng, B. Yao, S. Y. Cao, H. Yu, and H. L. Shen,
  Pattern Recognition,
  142, 109717, 2023. [PDF]

• I2P-Rec: Recognizing images on large-scale point cloud maps through bird’s eye view projections
  Y. Li, S. Zheng, Z. Yu, B. Yu, S. Y. Cao, L. Luo, and H. L. Shen,
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
  October 1-5, 2023. [PDF]

• CMENet: A cross-modal enhancement network for tobacco leaf grading
  Q. He, X. Zhang, J. Hu, Z. Sheng, Q. Li, S. Y. Cao, and H. L. Shen,
  IEEE Access,
  11, 109201-109212, 2023. [PDF]

   2022

• LiDAR-based global localization using histogram of orientations of principal normals
  L. Luo, S. Y. Cao, B. Han, and H. L. Shen,
  IEEE Transactions on Intelligent Vehicles (TIV),
  7(3), 771-782, 2022. [PDF]

• Iterative deep homography estimation
  S. Y. Cao, J. Hu, Z. Sheng, and H. L. Shen,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
  June 21-24, 2022. [PDF]

• Unaligned hyperspectral image fusion via registration and interpolation modeling
  J. C. Ying, H. L. Shen, and S. Y. Cao,
  IEEE Transactions on Geoscience and Remote Sensing (TGRS),
  60, 5511114, 2022. [PDF]

• Three-channel infrared imaging for object detection in haze
  B. Yu, Y. Chen, S. Y. Cao, H. L. Shen, and J. Li,
  IEEE Transactions on Instrumentation and Measurement (TIM),
  71, 5008513, 2022. [PDF]

• FocusNet: Classifying better by focusing on confusing classes
  X. Zhang, Z. Sheng, and H. L. Shen,
  Pattern Recognition,
  129, 108709, 2022. [PDF]

• Frequency-relevant residual learning for multi-modal image denoising
  X. Liu, Z. Sheng, and H. L. Shen,
  IEEE International Conference on Image Processing (ICIP),
  Oct. 16-19, 2022. [PDF]

• Guided image deblurring by deep multi-modal image fusion
  Y. Liu, Z. Sheng, and H. L. Shen,
  IEEE Access,
  10, 130708-130718, 2022. [PDF]

   2021

• Equivalent continuous formulation of general hashing problem
  S. Wang, C. Li, and H. L. Shen,
  IEEE Transactions on Cybernetics (TCYB),
  51(8), 4089-4099, 2021. [PDF]

• Estimating generalized Gaussian kernels for out-of-focus image deblurring
  Y. Q. Liu, X. Du, H. L. Shen, and S. J. Chen,
  IEEE Transactions on Circuits and Systems on Video Technology (TCSVT),
  31(3), 829-843, 2021. [PDF]

• BVMatch: Lidar-based place recognition using bird’s-eye view images
  L. Luo, S. Y. Cao, B. Han, H. L. Shen, and J. Li
  IEEE Robotics and Automation Letters,
  6(3), 6076-6083, 2021. [PDF]

   2020

• Boosting structure consistency for multispectral and multimodal image registration
  S. Y. Cao, H. L. Shen, S. J. Chen, and C. Li,
  IEEE Transactions on Image Processing (TIP),
  29, 5147-5162, 2020. [PDF][Code]

• Distributed discrete hashing by equivalent continuous formulation
  S. Wang, C. Li, and H. L. Shen,
  IEEE Transactions on Signal and Information Processing over Networks (TSIPN),
  6(1), 196-210, 2020. [PDF]

   2019

• Multispectral image super-resolution via RGB image fusion and radiometric calibration
  Z. W. Pan and H. L. Shen,
  IEEE Transactions on Image Processing (TIP),
  28(4), 1783-1797, 2019. [PDF]

• Distributed graph hashing
  S. Wang, C. Li, and H. L. Shen,
  IEEE Transactions on Cybernetics (TCYB),
  49(5), 1896-1908, 2019. [PDF]

• Block-based multispectral image registration with application to spectral color measurement
  H. L. Shen, Z. Zou, Y. Zhu, and S. Li,
  Optics Communications,
  451, 46-54, 2019. [PDF]

• Lighting deviation correction for integrating-sphere multispectral imaging systems
  Z. Zou, H. L. Shen, S. Li, Y. Zhu, and J. H. Xin,
  Sensors,
  19(16), 3501, 2019. [PDF]

   2018

• Normalized total gradient: a new measure for multispectral image registration
  S. J. Chen, H. L. Shen, C. Li, and J. H. Xin,
  IEEE Transactions on Image Processing (TIP),
  27(3), 1297-1310, 2018. [PDF][Code]

• Machine learning guided rapid focusing with sensor-less aberration corrections
  Y. Jin, Y. Zhang, L. Hu, H. Huang, Q. Xu, X. Zhu, L. Huang, Y. Zheng, H. L. Shen, W. Gong, and K. Si,
  Optics Express,
  26(23), 30162-30171, 2018. [PDF]

   2017

• Distributed learning of predictive structures from multiple tasks over networks
  J. Hua, C. Li, and H. L. Shen,
  IEEE Transactions on Industrial Electronics (TIE),
  64(5), 4246-4256, 2017. [PDF]

• Efficient photometric stereo using kernel regression
  H. L. Shen, T. Q. Han, and C. Li,
  IEEE Transactions on Image Processing (TIP),
  26(1), 439-451, 2017. [PDF]

• Bidirectional texture function image super-resolution using singular value decomposition
  W. Dong, H. L. Shen, Z. W. Pan, and J. H. Xin,
  Applied Optics,
  56(10), 2745-2753, 2017. [PDF]

• Recoloring textile fabric images based on improved fuzzy clustering
  Z. Zou, H. L. Shen, X. Du, S. J. Shao, and J. H. Xin,
  Color Research and Application,
  42(1), 115-123, 2017. [PDF]

   2016

• Fast multispectral imaging by spatial pixel-binning and spectral unmixing
  Z. W. Pan, H. L. Shen, C. Li, S. J. Chen, and J. H. Xin,
  IEEE Transactions on Image Processing (TIP),
  25(8), 3612-3625, 2016. [PDF][Code]

• Spectral bidirectional texture function reconstruction by fusing multiple-color and spectral images
  W. Dong, H. L. Shen, X. Du, S. J. Shao, and J. H. Xin,
  Applied Optics,
  55(36), 10400-10408, 2016. [PDF]

• Eliminating material dependency in spectra measurement via non-neighbouring band regression
  H. L. Shen, Q. G. Ge, Z. H. Zheng, S. J. Shao, and J. H. Xin,
  Coloration Technology,
  132(2), 186-192, 2016. [PDF]

   2015

• Photometric stereo for general BRDFs via reflection sparsity modeling
  T. Q. Han and H. L. Shen,
  IEEE Transactions on Image Processing (TIP),
  24(12), 4888-4903, 2015. [PDF][Code]

• Multispectral image out-of-focus deblurring using interchannel correlation
  S. J. Chen and H. L. Shen,
  IEEE Transactions on Image Processing (TIP),
  24(11), 4433-4445, 2015. [PDF][Code]

• An investigation of how the texture surface of a fabric influences its instrumental color
  L. Luo, K. M. Tsang, H. L. Shen, S. J. Shao, and J. H. Xin,
  Color Research and Application,
  40(5), 472-482, 2015. [PDF]

   2014

• Channel selection for multispectral color imaging using binary differential evolution
  H. L. Shen, J. F. Yao, C. Li, X. Du, S. J. Shao, and J. H. Xin,
  Applied Optics,
  53(4), 634-642, 2014. [PDF][Code]

• Robust photometric stereo using structural light sources
  T. Q. Han, Y. Cheng, H. L. Shen, and X. Du,
  Journal of Electronic Imaging,
  23(3), article 033004, 2014. [PDF]

   2013

• Real-time highlight removal using intensity ratio
  H. L. Shen and Z. H. Zheng,
  Applied Optics,
  52(19), 4483-4493, 2013. [PDF][Code]

• Adaptive characterization method for desktop color printers
  H. L. Shen, Z. H. Zheng, C. C. Jin, X. Du, S. J. Shao, and J. H. Xin,
  Journal of Electronic Imaging,
  22(2), article 023012, 2013. [PDF]

• KIMEL: A kernel incremental metalearning algorithm
  C. Li, Y. Ye, Q. Miao, and H. L. Shen,
  Signal Processing,
  93(6), 1586-1596, 2013. [PDF]

   2012

• Robust surface reconstruction from gradient fields
  Y. Cheng, H. L. Shen, and X. Du,
  Electronics Letters,
  48(7), 375-376, 2012. [PDF]

• Autofocus for multispectral camera using focus symmetry
  H. L. Shen, Z. H. Zheng, W. Wang, X. Du, S. J. Shao, and J. H. Xin,
  Applied Optics,
  51(14), 2616-2623, 2012. [PDF]

   2011

• Correcting cross-media instrument metamerism for reflectance estimation in multispectral imaging
  H. L. Shen, C. W. Weng, H. J. Wan, and J. H. Xin,
  Journal of the Optical Society of America A,
  28(4), 511–516, 2011. [PDF]

• Calibrating light sources by using a planar mirror
  H. L. Shen and Y. Cheng,
  Journal of Electronic Imaging,
  20(1), article 013002, 2011. [PDF]

   2010

• Multispectral image compression by cluster-adaptive subspace representation
  H. L. Shen, K. Li, and J. H. Xin,
  IEEE International Conference on Image Processing (ICIP 2010),
  Hong Kong, 521-524, 2010. [PDF]

• Estimating reflectance from multispectral camera responses based on partial least-squares regression
  H. L. Shen, H. J. Wan, and Z. C. Zhang,
  Journal of Electronic Imaging,
  19(2), article 020501, 2010. [PDF]

   2009

• Simple and efficient method for specularity removal in an image
  H. L. Shen and Q. Y. Cai,
  Applied Optics,
  48(14), 2711-2719, 2009. [PDF]

• Decomposition of shading and reflectance from a texture image
  H. L. Shen and K. Li,
  Optics Letters,
  34(1), 64-66, 2009. [PDF]

   2008

• Chromaticity-based separation of reflection components in a single image
  H. L. Shen, H. G. Zhang, S. J. Shao, and J. H. Xin,
  Pattern Recognition,
  41(8), 2461-2469, 2008. [PDF] [Code]

• Optimal selection of representative colors for spectral reflectance reconstruction in a multispectral imaging system
  H. L. Shen, H. G. Zhang, J. H. Xin, and S. J. Shao,
  Applied Optics,
  47(13), 2494-2502, 2008. [PDF]

• Estimation of optoelectronic conversion functions of imaging devices without using gray samples
  H. L. Shen, J. H. Xin, D. X. Yang, and D. W. Lou,
  Color Research and Application,
  33(2), 135-141, 2008. [PDF]

   2007

• Reflectance reconstruction for multispectral imaging by adaptive Wiener estimation
  H. L. Shen, P. Q. Cai, S. J. Shao, and J. H. Xin,
  Optics Express,
  15(23), 15545-15554, 2007. [PDF]

• Improved reflectance reconstruction for multispectral imaging by combining different techniques
  H. L. Shen, J. H. Xin, and S. J. Shao,
  Optics Express,
  15(9), 5531-5536, 2007. [PDF]

• Estimation of spectral reflectance of object surfaces with the consideration of perceptual color space
  H. L. Shen and J. H. Xin,
  Optics Letters,
  32(1), 96-98, 2007. [PDF]

   2006

• Colorimetric characterization of scanner by measures of perceptual color error
  H. L. Shen, T. S. Mou, and J. H. Xin,
  Journal of Electronic Imaging,
  15(4), 041204, 2006. [PDF]

• Spectral characterization of a color scanner based on optimized adaptive estimation
  H. L. Shen and J. H. Xin,
  Journal of the Optical Society of America A,
  23(7), 1566-1569, 2006. [PDF]

   2005

• Analysis and synthesis of multicolored objects in a single image
  H. L. Shen and J. H. Xin,
  Optics Letters,
  30(18), 2378-2380, 2005. [PDF]

• Investigation of texture effect on visual colour difference evaluation
  J. H. Xin, H. L. Shen, and C. C. Lam,
  Color Research and Application,
  30(5), 341-347, 2005. [PDF]

• Computational models for fusion of texture and color: a comparative study
  H. L. Shen and J. H. Xin,
  Journal of Electronic Imaging,
  14(3), 033003, 1-7, 2005. [PDF]

• An illumination distribution preserved color substitution algorithm based on dichromatic reflection model
  Z. G. Pan, P. Wang, J. H. Xin, M. M. Zhang, and H. L. Shen,
  Displays,
  26(3), 121-127, 2005. [PDF]

• Transferring color between three-dimensional objects
  H. L. Shen and J. H. Xin,
  Applied Optics,
  44(10), 1969-1976, 2005. [PDF]

   2004

• Accurate color synthesis of three-dimensional objects in an image
  J. H. Xin and H. L Shen,
  Journal of the Optical Society of America A,
  21(5), 713-723, 2004. [PDF]

• Spectral characterization of a color scanner by adaptive estimation
  H. L. Shen and J. H. Xin,
  Journal of the Optical Society of America A,
  21(7), 1125-1130, 2004. [PDF]

• Recoloring digital textile printing design with high fidelity
  J. H. Xin and H. L. Shen,
  Coloration Technology,
  120(1), 6-13, 2004. [PDF]

• Dichromatic based rendering of texture images with high color fidelity
  H. L. Shen and J. H. Xin,
  Journal of Imaging Science and Technology,
  48(3), 246-250, 2004. [PDF]

• Colorimetric and spectral characterization of a color scanner using local statistics
  H. L. Shen and J. H. Xin,
  Journal of Imaging Science and Technology,
  48(4), 342-346, 2004. [PDF]

   2003

• An image-based texture mapping technique for apparel products exhibition and interior design
  P. Wang, M. M. Zhang, J. H. Xin, Z. G. Pan, and H. L. Shen,
  Displays,
  24(4-5), 179-186, 2003. [PDF]

• Computational model for color mapping on texture images
  J. H. Xin and H. L. Shen,
  Journal of Electronic Imaging,
  12(4), 697-704, 2003. [PDF]

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