Publications

Quantitative Imaging


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Publications of year 2021
Articles in journal or book chapters
  1. S. Amirgholipour, W. Jia, L. Liu, X. Fan, D. Wang, and X. He. PDANet: Pyramid Density-aware Attention based Network for Accurate Crowd Counting. Neurocomputing, pp 1--16, April 2021. [DOI] [bibtex-entry]

  2. S. A. H. Chowdhury, C. Nguyen, H. Li, and R. Hartley. Fixed-Lens camera setup and calibrated image registration for multifocus multiview 3D reconstruction. Neural Computing and Applications, 33:7421--7440, 2021. [bibtex-entry]

  3. Q. Jin, H. Cui, C. Sun, Z. Meng, and R. Su. Free-form tumor synthesis in computed tomography images via richer generative adversarial network. Knowledge-Based Systems, 218:106753, April 2021. [DOI] [bibtex-entry]

  4. Q. Jin, H. Cui, C. Sun, Z. Meng, and R. Su. Cascade knowledge diffusion network for skin lesion diagnosis and segmentation. Applied Soft Computing, 99:106881, February 2021. [DOI] [bibtex-entry]

  5. Q. Jin, H. Cui, C. Sun, Z. Meng, L. Wei, and R. Su. Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. Expert Systems with Applications, 176:114848, August 2021. [DOI] [bibtex-entry]

  6. J. Ke, Y. Lu, Y. Shen, J. Deng, J. Wright, Y. Zhang, H. Qin, D. Wang, X. Liang, and F. Jiang. Quantitative Analysis of Abnormalities in Gynecologic Cytopathology with Deep Learning. Laboratory Investigation, 101:513--524, February 2021. [DOI] [bibtex-entry]

  7. M. R. Khokher, L. R. Little, G. N. Tuck, D. V. Smith, M. Qiao, C. Devine, H. O'Neill, J. Pogonoski, R. Arangio, and D. Wang. Early lessons in deploying cameras and artificial intelligence technology for fisheries catch monitoring: where machine learning meets commercial fishing. Canadian Journal of Fisheries and Aquatic Sciences, July 2021. [DOI] [bibtex-entry]

  8. D. Li, P. Tang, R. Zhang, C. Sun, Y. Li, J. Qian, Y. Liang, J. Yang, and L. Zhang. Robust Blood Cell Image Segmentation Method Based on Neural Ordinary Differential Equations. Computational and Mathematical Methods in Medicine, 2021:5590180, August 2021. [DOI] [bibtex-entry]

  9. Q. Liao, D. Wang, and M. Xu. Category Attention Transfer for Efficient Fine-Grained Visual Categorization. Pattern Recognition Letter, pp 1-7, November 2021. [DOI] [bibtex-entry]

  10. S. Lopez-Marcano, E. Jinks, C. J. Brown, D. Wang, B. Kusy, E. Ditria, and R. Connolly. Automatic detection of fish and tracking of movement for ecology. Ecology and Evolution, pp 1--10, May 2021. [DOI] [bibtex-entry]

  11. L. Mo, L. Zhu, J. Ma, D. Wang, and H. Wang. MDRSteg: large-capacity image steganography based on multi-scale dilated ResNet and combined chi-square distance loss. Journal of Electronic Imaging, 30(1):013018, February 2021. [DOI] [bibtex-entry]

  12. G. Wang, C. Sun, and A. Sowmya. Context-enhanced Representation Learning for Single Image Deraining. International Journal of Computer Vision, 129(5):1650--1674, May 2021. [DOI] [bibtex-entry]

  13. G. Wang, C. Sun, and A. Sowmya. Attentive Feature Refinement Network for Single Rainy Image Restoration. IEEE Transactions on Image Processing, 30:3734--3747, March 2021. [DOI] [bibtex-entry]

  14. M. Zhang, Y. Gao, C. Sun, and M. Blumenstein. Robust Tensor Decomposition for Image Representation based on Generalized Correntropy. IEEE Transactions on Image Processing, 30:150--162, 2021. [DOI] [bibtex-entry]

  15. W. Zhang and C. Sun. Corner detection using second-order generalized Gaussian directional derivative representations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(4):1213--1224, April 2021. [DOI] [bibtex-entry]

  16. L. Zhu, X. Wen, L. Mo, J. Ma, and D. Wang. Robust location-secured high-definition image watermarking based on key-point detection and deep learning. Optik, 248, December 2021. [DOI] [bibtex-entry]

  17. X. Zong, Z. Chen, and D. Wang. Local-CycleGAN: A General End-to-End Network for Visual Enhancement. Applied Intelligence, 51:1947--1958, April 2021. [DOI] [bibtex-entry]

Conference articles
  1. M. S. Alam, A. Sowmya, and D. Wang. Bidirectional ConvLSTM for lung segmentation from chest X-ray images. In ICTAI, Washington, USA, 1-3 November 2021. [bibtex-entry]

  2. M. S. Alam, A. Sowmya, and D. Wang. Image data augmentation for improving performance of deep learning-based model in pathological lung segmentation. In DICTA, Gold Coast, Queensland, Australia, 29 November - 1 December 2021. [bibtex-entry]

  3. J. Jing, S. Liu, C. Liu, T. Gao, W. Zhang, and C. Sun. A novel decision mechanism for image edge detection. In International Conference on Intelligent Computing, Shenzhen, China, pages 274--287, 12-15 August 2021. [DOI] [bibtex-entry]

  4. C. Nguyen, D. Wang, K. Richter, P. Valencia, and G. Bishop-Hurley. Video-based cattle identification and behaviour recognition. In DICTA, Gold Coast, Queensland, Australia, 29 November - 1 December 2021. [WWW] [bibtex-entry]

  5. A. Rispler, S. Gensemer, S. Gao, T. Doody, C. Sun, and R. Lagerstrom. Payload verification and testing for the CSIROSat-1 mission. In 43rd COSPAR Scientific Assembly, Sydney, Australia, 28 January-4 February 2021. [bibtex-entry]

  6. L. Velentzis, P. Procopio, S. Carr, L. Devereux, B. Mann, P. James, G. Lee, C. Wellard, Y. Arzhaeva, and C. Nickson. Can mammographic density add value to the Gail model in risk-stratifying women in BreastScreen Australia?. In IEA World Congress of Epidemiology, volume 50, pages i242, September 2021. [DOI] [bibtex-entry]

  7. G. Wang, C. Sun, X. Xu, J. Li, Z. Wang, and Z. Ma. Disentangled Representation Learning and Enhancement Network for Single Image De-Raining. In ACM Multimedia, Chengdu, China, pages 3015--3023, 20-24 October 2021. [DOI] [bibtex-entry]

  8. R. Wu, C. Sun, Z. Liu, and A. Sowmya. Deep learning based stereo cost aggregation on a small dataset. In Digital Image Computing: Techniques and Applications, Gold Coast, Australia, 29 November-1 December 2021. [DOI] [bibtex-entry]

  9. C. Xu, J. Liu, C. Nguyen, F. Casten, B. Maujean, and S. Gasparini. 3D reconstruction of insects: An improved multifocus stacking and an evaluation of learning-based MVS approaches. In 2021 International Conference on 3D Vision (3DV), pages 1411--1419, 2021. IEEE Computer Society. [bibtex-entry]


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