Publications

Quantitative Imaging


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Publications of year 2018
Articles in journal or book chapters
  1. M. Dai, S. Cheng, X. He, and D. Wang. Object tracking in the presence of shaking motions. Neural Computing and Applications, 2018. 
    @article{Dai-etal18s0052,
author = {M. Dai and S. Cheng and X. He and D. Wang},
title = {Object tracking in the presence of shaking motions},
year = {2018},
month = {},
volume = {},
number = {},
doi = {},
journal = {Neural Computing and Applications},
pages = {} 
}

  2. L. Devnath, S. Luo, P. Summons, and D. Wang. Tuberculosis (TB) Classification in Chest Radiographs Using Deep Convolutional Neural Networks. International Journal of Advances in Science, Engineering, and Technology, 6(3), 2018. 
    @article{Dai-etal18s0052,
author = {L. Devnath and S. Luo and P. Summons and D. Wang},
title = { Tuberculosis (TB) Classification in Chest Radiographs Using Deep Convolutional Neural Networks},
year = {2018},
month = {},
volume = {6},
number = {3},
doi = {},
journal = {International Journal of Advances in Science, Engineering, and Technology},
pages = {} 
}

  3. M. Li and C. Sun. Refinement of LiDAR point clouds using a super-voxel-based approach. ISPRS Journal of Photogrammetry and Remote Sensing, 14:213--221, September 2018. [DOI] 
    @article{li-sun18ijprs,
author = {M. Li and C. Sun},
title = {Refinement of {LiDAR} point clouds using a super-voxel-based approach},
year = {2018},
month = Sep,
volume = {14},
number = {},
journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
pages = {213--221},
doi = {https://doi.org/10.1016/j.isprsjprs.2018.03.010} 
}

  4. Z. Liu, X. Bai, C. Sun, F. Zhou, and Y. Li. Multi-modal ship target image smoothing based on adaptive mean shift. IEEE Access, 6:12573--12586, March 2018. [DOI] 
    @article{liu-etal18access,
author = {Z. Liu and X. Bai and C. Sun and F. Zhou and Y. Li},
title = {Multi-modal ship target image smoothing based on adaptive mean shift},
year = {2018},
month = Mar,
volume = {6},
number = {},
journal = {IEEE Access},
pages = {12573--12586},
doi = {http://doi.org/10.1109/ACCESS.2018.2794141} 
}

  5. Y. Liu, K. Xu, and D. Wang. Online Surface Defect Identification of Cold Rolled Strips Based on Local Binary Pattern and Extreme Learning Machine. Metals, 8(3):1--18, March 2018. [DOI] 
    @article{liu-etal18metals,
author = {Y. Liu and K. Xu and D. Wang},
title = {Online Surface Defect Identification of Cold Rolled Strips Based on Local Binary Pattern and Extreme Learning Machine},
year = {2018},
month = Mar,
volume = {8},
number = {3},
doi = {http://doi.org/10.3390/met8030197},
journal = {Metals},
pages = {1--18} 
}

  6. S. Zhang, G. Tang, X. Liu, S. Luo, and D. Wang. Retinex based low-light image enhancement using guided filtering and variational framework. Optoelectronics Letters, 14(2):156--160, March 2018. [DOI] 
    @article{zhang-etal18s11801,
author = {S. Zhang and G. Tang and X. Liu and S. Luo and D. Wang},
title = {Retinex based low-light image enhancement using guided filtering and variational framework},
year = {2018},
month = Mar,
volume = {14},
number = {2},
doi = {https://doi.org/10.1007/s11801-018-7208-9},
journal = {Optoelectronics Letters},
pages = {156--160} 
}

  7. Y. Zhang, G. Tang, X. Liu, and C. Sun. Disparity-based Error Concealment for Stereoscopic Images with Superpixel Segmentation. KSII Transactions on Internet and Information Systems, 12(9):4375--4388, September 2018. [DOI] 
    @article{zhang-etal18tiis,
author = {Y. Zhang and G. Tang and X. Liu and C. Sun},
title = {Disparity-based Error Concealment for Stereoscopic Images with Superpixel Segmentation},
year = {2018},
month = Sep,
volume = {12},
number = {9},
journal = {{KSII} Transactions on Internet and Information Systems},
pages = {4375--4388},
doi = {http://doi.org/10.3837/tiis.2018.09.014} 
}

  8. P. Zhou, K. Xu, and D. Wang. Rail Profile Measurement Based on Line-structured Light Vision. IEEE Access, 2018. [DOI] 
    @article{zhou-etal18access,
author = {P. Zhou and K. Xu and D. Wang},
title = {Rail Profile Measurement Based on Line-structured Light Vision},
year = {2018},
month = {},
volume = {},
number = {},
doi = {http://doi.org/10.1109/ACCESS.2018.2813319},
journal = {IEEE Access},
pages = {} 
}

Conference articles
  1. S. Amirgholipour, X. He, W. Jia, D. Wang, and M. Zeibots. A-CCNN: Adaptive CCNN For Density Estimation and Crowd Counting. In 2018 IEEE International Conference on Image Processing, Athens, Greece, 7-10 October 2018. 
    @inproceedings{ami-etal18ICIP,
author = {S. Amirgholipour and X. He and W. Jia and D. Wang and M. Zeibots},
title = {{A-CCNN}: Adaptive {CCNN} For Density Estimation and Crowd Counting},
year = {2018},
month ={7-10 October},
volume = {},
booktitle = {2018 IEEE International Conference on Image Processing},
editor = {},
organization = {},
pages = {},
publisher = {},
address = { Athens, Greece},
url = {} 
}

  2. X. Han, C. Nguyen, S. You, and J. Lu. Single Image Water Hazard Detection Using FCN with Reflection Attention Units. In V. Ferrari, M. Hebert, C. Sminchisescu, and Y. Weiss, editors, Computer Vision -- ECCV 2018, Cham, pages 105--121, 2018. Springer International Publishing. 
    @InProceedings{10.1007/978-3-030-01231-1_7,
author="Han, X. and Nguyen, C. and You, S. and Lu, J.",
editor="Ferrari, V. and Hebert, M. and Sminchisescu, C. and Weiss, Y.",
title="Single Image Water Hazard Detection Using FCN with Reflection Attention Units",
booktitle="Computer Vision -- ECCV 2018",
year="2018",
publisher="Springer International Publishing",
address="Cham",
pages="105--121",
isbn="978-3-030-01231-1" 
}

  3. T. He, Z. Tian, W. Huang, C. Shen, Y. Qiao, and C. Sun. An End-to-End TextSpotter with Explicit Alignment and Attention. In Proceedings of Computer Vision and Pattern Recognition, Salt Lake City, Utah, USA, pages 5020--5029, 18-22 June 2018. [WWW] [DOI] 
    @inproceedings{he-etal18cvpr,
author = {T. He and Z. Tian and W. Huang and C. Shen and Y. Qiao and C. Sun},
title = {An End-to-End TextSpotter with Explicit Alignment and Attention},
year = {2018},
month = {18-22 June},
volume = {},
booktitle = cvpr,
editor = {},
organization = {},
pages = {5020--5029},
publisher = {},
address = {Salt Lake City, Utah, USA},
doi = {https://doi.org/10.1109/CVPR.2018.00527},
url = {https://arxiv.org/abs/1803.03474} 
}

  4. Q. Liao, D. Wang, and M. Xu. Fine-Grained Categorization by Deep Part-Collaboration Convolution Net. In DICTA, Canberra, Australia, 10-13 December 2018. 
    @inproceedings{liao-etal18DICTA,
author = {Q. Liao and D. Wang and M. Xu},
title = {Fine-Grained Categorization by Deep Part-Collaboration Convolution Net},
year = {2018},
month ={10-13 December},
volume = {},
booktitle = {DICTA},
editor = {},
organization = {},
pages = {},
publisher = {},
address = {Canberra, Australia},
url = {} 
}

  5. M. Menikdiwela, C. Nguyen, and M. Shaw. Deep Learning on Brain Cortical Thickness Data for Disease Classification. In 2018 Digital Image Computing: Techniques and Applications (DICTA), pages 1-5, December 2018. [DOI] 
    @INPROCEEDINGS{8615775,
author={M. Menikdiwela and C. Nguyen and M. Shaw},
booktitle={2018 Digital Image Computing: Techniques and Applications (DICTA)},
title={Deep Learning on Brain Cortical Thickness Data for Disease Classification},
year={2018},
volume={},
number={},
pages={1-5},
doi={http://doi.org/10.1109/DICTA.2018.8615775},
ISSN={},
month={Dec} 
}

  6. F. Rusak, Y. Arzhaeva, and D. Wang. Content-Aware Image Augmentation for Medical Imaging Applications. In 20th International Conference on Radiology and Medical Imaging, London, United Kingdom, 27-28 September 2018. 
    @inproceedings{rusak-etal18ICRMI,
author = {F. Rusak and Y. Arzhaeva and D. Wang},
title = {Content-Aware Image Augmentation for Medical Imaging Applications},
year = {2018},
month ={27-28 September},
volume = {},
booktitle = {20th International Conference on Radiology and Medical Imaging},
editor = {},
organization = {},
pages = {},
publisher = {},
address = {London, United Kingdom},
url = {} 
}

  7. D. Wang, G. Tuck, R. Little, and R. Li. Advances in the automated detection and recording of capture events from on-vessel video footage. In International Fisheries Observer and Monitoring Conference, Vigo, Spain, 11-15 June 2018. 
    @inproceedings{wang2018ifomc,
title={Advances in the automated detection and recording of capture events from on-vessel video footage},
author={Wang, D. and G. Tuck and R. Little and R. Li},
booktitle={International Fisheries Observer and Monitoring Conference},
pages={},
month = {11-15 June},
year={2018},
organization={},
doi = {},
address = {Vigo, Spain} 
}

  8. M. Zhang, Y. Gao, C. Sun, and M. Blumenstein. Matching Pursuit Based on Kernel Non-second Order Minimization. In Proceedings of International Conference on Image Processing, Athens, Greece, pages 3858--3862, 7-10 October 2018. [DOI] 
    @inproceedings{zhang-etal18icip,
author = {M. Zhang and Y. Gao and C. Sun and M. Blumenstein},
title = {Matching Pursuit Based on Kernel Non-second Order Minimization},
year = {2018},
month = {7-10 October},
volume = {},
booktitle = {Proceedings of International Conference on Image Processing},
editor = {},
organization = {},
pages = {3858--3862},
publisher = {},
address = {Athens, Greece},
doi = {http://doi.org/10.1109/ICIP.2018.8451746} 
}

  9. Y. Zhao, D. Grillmeier, A. Pourkhesalian, C. Solnordal, D. Wang, C. Cprsi, L. Li, and L. Wardhaugh. Fundamental aspects of the rotating liquid sheet contactor. In 14th International Conference on Greenhouse Gas Control Technologies, Melbourne, Australia, 21-25 October 2018. 
    @inproceedings{zhao-etal18GHGT,
author = {Y. Zhao and D. Grillmeier and A. Pourkhesalian and C. Solnordal and D. Wang and C. Cprsi and L. Li and L. Wardhaugh},
title = { Fundamental aspects of the rotating liquid sheet contactor},
year = {2018},
month ={21-25 October},
volume = {},
booktitle = {14th International Conference on Greenhouse Gas Control Technologies},
editor = {},
organization = {},
pages = {},
publisher = {},
address = {Melbourne, Australia},
url = {} 
}


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Last modified: Thu Oct 17 11:37:12 2024
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