Publications

Quantitative Imaging


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Publications of year 2024
Articles in journal or book chapters
  1. D. Acharya, M. Farazi, V. Rolland, L. Petersson, U. Rosebrock, D. Smith, J. Ford, D. Wang, G. Tuck, R. Little, and C. Wilcox. Towards automatic anomaly detection in fisheries using electronic monitoring and automatic identification system. Fisheries Research, 272(106939), April 2024. [DOI]
    @article{devnat-etal22jcm,
    author = {D. Acharya and M. Farazi and V. Rolland and L. Petersson and U. Rosebrock and D. Smith and J. Ford and D. Wang and G. Tuck and R. Little and C. Wilcox},
    title = {Towards automatic anomaly detection in fisheries using electronic monitoring and automatic identification system},
    year = {2024},
    month = {April},
    volume = {272},
    number = {106939},
    doi = {https://doi.org/10.1016/j.fishres.2024.106939},
    journal = {Fisheries Research},
    pages = {} 
    }
    

  2. D. Acharya, M. Saqib, C. Devine, C. Untiedt, R. Little, D. Wang, and G. Tuck. Using deep learning to automate the detection of bird scaring lines on fishing vessels. Biological Conservation, 296:1--9, August 2024. [DOI]
    @article{Acharya-etal24bc,
    author = {D. Acharya and M. Saqib and C. Devine and C. Untiedt and R. Little and D. Wang and G. Tuck},
    title = {Using deep learning to automate the detection of bird scaring lines on fishing vessels},
    year = {2024},
    month = {August},
    volume = {296},
    number = {},
    doi = {https://doi.org/10.1016/j.biocon.2024.110713},
    journal = {Biological Conservation},
    pages = {1--9} 
    }
    

  3. M. Alam, D. Wang, and A. Sowmya. AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images. Artificial Intelligence in Medicine, 154:1--11, August 2024. [DOI]
    @article{Alam-etal24aim,
    author = {M. Alam and D. Wang and A. Sowmya},
    title = { AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images},
    year = {2024},
    month = {August},
    volume = {154},
    number = {},
    doi = {https://doi.org/10.1016/j.artmed.2024.102917},
    journal = {Artificial Intelligence in Medicine},
    pages = {1--11} 
    }
    

  4. M. Alam, D. Wang, and A. Sowmya. DLA-Net: Dual Lesion Attention Network for classification of pneumoconiosis using chest X-Ray images. Scientific Reports, 14:1--12, May 2024. [DOI]
    @article{alam-etal24sr,
    author = {M. Alam and D. Wang and A. Sowmya},
    title = {{DLA-Net}: Dual Lesion Attention Network for classification of pneumoconiosis using chest {X-Ray} images},
    year = {2024},
    month = {May},
    volume = {14},
    number = {},
    doi = {https://doi.org/10.1038/s41598-024-61024-3},
    journal = {Scientific Reports},
    pages = {1--12} 
    }
    

  5. Q. Jin, H. Cui, C. Sun, Y. Song, J. Zheng, L. Cao, L. Wei, and R. Su. Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. Expert Systems with Applications, 238(D):122093, March 2024. [DOI]
    @article{jin-etal24eswa,
    author = {Q. Jin and H. Cui and C. Sun and Y. Song and J. Zheng and L. Cao and L. Wei and R. Su},
    title = {Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation},
    year = {2024},
    month = {March},
    volume = {238},
    number = {D},
    journal = {Expert Systems with Applications},
    pages = {122093},
    doi = {https://doi.org/10.1016/j.eswa.2023.122093} 
    }
    

  6. X. Li, T. Zhang, Z. Liu, B. Liu, S. u. Rehman, B. Rehman, and C. Sun. Saliency Guided Siamese Attention Network for Infrared Ship Target Tracking. IEEE Transactions on Intelligent Vehicles, 2024. [DOI]
    @article{li-etal24tiv,
    author = {X. Li and T. Zhang and Z. Liu and B. Liu and S. u. Rehman and B. Rehman and C. Sun},
    title = {Saliency Guided {S}iamese Attention Network for Infrared Ship Target Tracking},
    year = {2024},
    month = {},
    volume = {},
    number = {},
    journal = {IEEE Transactions on Intelligent Vehicles},
    pages = {},
    doi = {https://doi.org/10.1109/TIV.2024.3370233} 
    }
    

  7. K. Lin, W. Wen, D. Lipnick, L. Mewton, R. Chen, J. Du, D. Wang, I. Skoog, R. Sterner, J. Najar, K. Kim, J. Han, J. Kim, T. Ng, R. Ho, D. Chua, K. Anstey, N. Cherbuin, M. Mortby, H. Brodaty, N. Kochan, P. Sachdev, and J. Jiang. Risk factors and cognitive correlates of white matter hyperintensities in ethnically diverse populations without dementia: the COSMIC consortium. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 16(1):1--11, March 2024. [DOI]
    @article{lin-etal24addadm,
    author = {K. Lin and W. Wen and D. Lipnick and L. Mewton and R. Chen and J. Du and D. Wang and I. Skoog and R. Sterner and J. Najar and K. Kim and J. Han and J. Kim and T. Ng and R. Ho and D. Chua and K. Anstey and N. Cherbuin and M. Mortby and H. Brodaty and N. Kochan and P. Sachdev and J. Jiang},
    title = {Risk factors and cognitive correlates of white matter hyperintensities in ethnically diverse populations without dementia: the COSMIC consortium},
    year = {2024},
    month = {March},
    volume = {16},
    number = {1},
    doi = {https://doi.org/10.1002/dad2.12567},
    journal = {Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring},
    pages = {1--11} 
    }
    

  8. C. Liu, P. Li, L. Li, Z. Huang, D. Wang, and X. Yu. BAVS: Bootstrapping Audio-Visual Segmentation by Integrating Foundation Knowledge. IEEE Transactions on Multimedia, pp 1--13, May 2024. [DOI]
    @article{chen-etal24tmm,
    author = {C. Liu and P. Li and L. Li and Z. Huang and D. Wang and X. Yu},
    title = {{BAVS}: Bootstrapping Audio-Visual Segmentation by Integrating Foundation Knowledge},
    year = {2024},
    month = {May},
    volume = {},
    number = {},
    doi = {https://doi.org/10.1109/TMM.2024.3405622},
    journal = {IEEE Transactions on Multimedia},
    pages = {1--13} 
    }
    

  9. Z. Liu, X. Li, T. Zhang, X. Zhang, C. Sun, S. u. Rehman, and J. Ahmad. A Two-branch Edge Guided Lightweight Network for Infrared Image Saliency Detection. Computers and Electrical Engineering, 118(A):109296, August 2024. [DOI]
    @article{liu-etal24cee,
    author = {Z. Liu and X. Li and T. Zhang and X. Zhang and C. Sun and S. u. Rehman and J. Ahmad},
    title = {A Two-branch Edge Guided Lightweight Network for Infrared Image Saliency Detection},
    year = {2024},
    month = {August},
    volume = {118},
    number = {A},
    journal = {Computers and Electrical Engineering},
    pages = {109296},
    doi = {https://doi.org/10.1016/j.compeleceng.2024.109296} 
    }
    

  10. J. Ren, C. Li, Y. An, W. Zhang, and C. Sun. Few-Shot Fine-Grained Image Classification: A Comprehensive Review. AI, 5(1):405--425, 6 March 2024. [DOI]
    @article{ren-etal24ai,
    author = {J. Ren and C. Li and Y. An and W. Zhang and C. Sun},
    title = {Few-Shot Fine-Grained Image Classification: A Comprehensive Review},
    year = {2024},
    month = {6 March},
    volume = {5},
    number = {1},
    journal = {AI},
    pages = {405--425},
    doi = {https://doi.org/10.3390/ai5010020} 
    }
    

  11. M. Saqib, M. R. Khokher, X. Yuan, B. Yan, D. Bearham, C. Devine, C. Untiedt, T. Cannard, K. Maguire, G. N. Tuck, R. Little, and D. Wang. Fishing Event Detection and Species Classification using Computer Vision and Artificial Intelligence for Electronic Monitoring. Fisheries Research, 280(107141):1-16, December 2024. [DOI]
    @article{Saqib-etal24fr,
    author = {M. Saqib and M. R. Khokher and X. Yuan and B. Yan and D. Bearham and C. Devine and C. Untiedt and T. Cannard and K. Maguire and G. N. Tuck and R. Little and D. Wang},
    title = {Fishing Event Detection and Species Classification using Computer Vision and Artificial Intelligence for Electronic Monitoring},
    year = {2024},
    month = {December},
    volume = {280},
    number = {107141},
    doi = { https://doi.org/10.1016/j.fishres.2024.107141},
    journal = {Fisheries Research},
    pages = {1-16} 
    }
    

  12. J. Song, A. Sowmya, J. Kato, and C. Sun. Efficient Masked Feature and Group Attention Network for Stereo Image Super-Resolution. Image and Vision Computing, 151:105252, November 2024. [DOI]
    @article{song-etal24ivc,
    author = {J. Song and A. Sowmya and J. Kato and C. Sun},
    title = {Efficient Masked Feature and Group Attention Network for Stereo Image Super-Resolution},
    year = {2024},
    month = {November},
    volume = {151},
    number = {},
    journal = ivc,
    pages = {105252},
    doi = {https://doi.org/10.1016/j.imavis.2024.105252} 
    }
    

  13. J. Song, A. Sowmya, and C. Sun. Efficient Hybrid Feature Interaction Network for Stereo Image Super-Resolution. IEEE Transactions on Multimedia, 26:10094--10105, 27 May 2024. [DOI]
    @article{song-etal24tmm,
    author = {J. Song and A. Sowmya and C. Sun },
    title = {Efficient Hybrid Feature Interaction Network for Stereo Image Super-Resolution},
    year = {2024},
    month = {27 May},
    volume = {26},
    number = {},
    journal = {IEEE Transactions on Multimedia},
    pages = {10094--10105},
    doi = {https://doi.org/10.1109/TMM.2024.3405626} 
    }
    

  14. R. Su, J. Han, C. Sun, D. Zhang, J. Geng, P. Wang, and X. Zeng. Prediction of anti-cancer drug synergy based on cross-matching network and cancer molecular subtypes. Computers in Biology and Medicine, 175:108441, June 2024. [DOI]
    @article{su-etal24cbm,
    author = {R. Su and J. Han and C. Sun and D. Zhang and J. Geng and P. Wang and X. Zeng},
    title = {Prediction of anti-cancer drug synergy based on cross-matching network and cancer molecular subtypes},
    year = {2024},
    month = {June},
    volume = {175},
    number = {},
    journal = {Computers in Biology and Medicine},
    pages = {108441},
    doi = {https://doi.org/10.1016/j.compbiomed.2024.108441} 
    }
    

  15. R. Wu, M. Wang, Z. Li, J. Zhou, F. Chen, X. Wang, and C. Sun. Few-shot Stereo Matching with High Domain Adaptability Based on Adaptive Recursive Network. International Journal of Computer Vision, 132(5):1484--1501, May 2024. [DOI]
    @article{wu-etal24ijcv,
    author = {R. Wu and M. Wang and Z. Li and J. Zhou and F. Chen and X. Wang and C. Sun},
    title = {Few-shot Stereo Matching with High Domain Adaptability Based on Adaptive Recursive Network},
    year = {2024},
    month = {May},
    volume = {132},
    number = {5},
    journal = ijcv,
    pages = {1484--1501},
    doi = {https://doi.org/10.1007/s11263-023-01953-0} 
    }
    

  16. W. Zhang, Y. Zhao, Y. Gao, and C. Sun. Re-abstraction and Perturbing Support Pair Network for Few-Shot Fine-Grained Image Classification. Pattern Recognition, 148:110158, April 2024. [DOI]
    @article{zhang-etal24pr,
    author = {W. Zhang and Y. Zhao and Y. Gao and C. Sun},
    title = {Re-abstraction and Perturbing Support Pair Network for Few-Shot Fine-Grained Image Classification},
    year = {2024},
    month = {April},
    volume = {148},
    number = {},
    journal = pr,
    pages = {110158},
    doi = {https://doi.org/10.1016/j.patcog.2023.110158} 
    }
    

  17. Q. Zheng, D. Liu, C. Wang, J. Zhang, D. Wang, and D. Tao. ESceme: Vision-and-Language Navigation with Episodic Scene Memory. International Journal of Computer Vision, pp 1--21, July 2024. [DOI]
    @article{zheng-etal24ijcv,
    author = {Q. Zheng and D. Liu and C. Wang and J. Zhang and D. Wang and D. Tao},
    title = {ESceme: Vision-and-Language Navigation with Episodic Scene Memory},
    year = {2024},
    month = {July},
    volume = {},
    number = {},
    doi = {https://doi.org/10.1007/s11263-024-02159-8},
    journal = { International Journal of Computer Vision},
    pages = {1--21} 
    }
    

Conference articles
  1. Q. Jin, J. Huang, C. Sun, H. Cui, P. Xuan, R. Su, L. Wei, Y.-J. Wu, C.-A. Wu, B.-L. Duh, and Y.-H. Lu. Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Marrakesh, Morocco, pages 405--414, 6-10 October 2024. [DOI]
    @inproceedings{jin-etal24miccai,
    author = {Q. Jin and J. Huang and C. Sun and H. Cui and P. Xuan and R. Su and L. Wei and Y.-J. Wu and C.-A. Wu and B.-L. Duh and Y.-H. Lu},
    title = {Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones},
    year = {2024},
    month = {6-10 October},
    volume = {},
    booktitle = {International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)},
    editor = {},
    organization = {},
    pages = {405--414},
    publisher = {},
    address = {Marrakesh, Morocco},
    doi = {https://doi.org/10.1007/978-3-031-72120-5_38} 
    }
    

  2. C. Liu, P. Li, Q. Yu, H. Sheng, D. Wang, L. Li, and X. Yu. Benchmarking Audio Visual Segmentation for Long-Untrimmed Videos. In CVPR, Seattle, USA, pages 22712--22722, 17-21 June 2024. [WWW]
    @inproceedings{liu-etal24cvpr,
    author = {C. Liu and P. Li and Q. Yu and H. Sheng and D. Wang and L. Li and X. Yu},
    title = {Benchmarking Audio Visual Segmentation for Long-Untrimmed Videos},
    year = {2024},
    month = {17-21 June},
    volume = {},
    booktitle = {CVPR},
    editor = {},
    organization = {},
    pages = {22712--22722},
    publisher = {},
    address = {Seattle, USA},
    url = {https://openaccess.thecvf.com/content/CVPR2024/papers/Liu_Benchmarking_Audio_Visual_Segmentation_for_Long-Untrimmed_Videos_CVPR_2024_paper.pdf} 
    }
    

  3. J. Ma, M. Liu, D. Ahmedt-Aristizabal, and C. Nguyen. HashPoint: Accelerated Point Searching and Sampling for Neural Rendering. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4462--4472, 2024.
    @inproceedings{ma2024hashpoint,
    title={{HashPoint}: Accelerated Point Searching and Sampling for Neural Rendering},
    author={Ma, J. and Liu, M. and Ahmedt-Aristizabal, D. and Nguyen, C.},
    booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
    pages={4462--4472},
    year={2024} 
    }
    

  4. S. Wang, C. Nguyen, J. Liu, Y. Zhang, S. Muthu, F. Maken, K. Zhang, and H. Li. View From Above: Orthogonal-View aware Cross-view Localization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 14843--14852, 2024.
    @inproceedings{wang2024view,
    title={View From Above: Orthogonal-View aware Cross-view Localization},
    author={Wang, S. and Nguyen, C. and Liu, J. and Zhang, Y. and Muthu, S. and Maken, F. and Zhang, K. and Li, H.},
    booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
    pages={14843--14852},
    year={2024} 
    }
    

  5. H. Xu, X. Su, A. Sowmya, I. Katz, and D. Wang. SCD-NAS: Towards Zero-Cost Training in Melanoma Diagnosis. In ICME, Niagra Falls, Canada, 15-19 July 2024.
    @inproceedings{xu-etal24icme,
    author = {H. Xu and X. Su and A. Sowmya and I. Katz and D. Wang},
    title = {{SCD-NAS}: Towards Zero-Cost Training in Melanoma Diagnosis},
    year = {2024},
    month = {15-19 July},
    volume = {},
    booktitle = {ICME},
    editor = {},
    organization = {},
    pages = {},
    publisher = {},
    address = {Niagra Falls, Canada},
    url = { } 
    }
    

  6. C. Zhang, J. Tong, T. J. Lin, C. Nguyen, and H. Li. PMVC: Promoting Multi-View Consistency for 3D Scene Reconstruction. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 3678--3688, 2024.
    @inproceedings{zhang2024pmvc,
    title={{PMVC}: Promoting Multi-View Consistency for {3D} Scene Reconstruction},
    author={Zhang, C. and Tong, J. and Lin, T. J. and Nguyen, C. and Li, H.},
    booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
    pages={3678--3688},
    year={2024} 
    }
    

  7. J. Zheng, Y. Yao, B. Han, D. Wang, and T. Liu. Enhancing Contrastive Learning For Ordinal Regression Via Ordinal Content Preserved Data Augmentation. In ICLR, Vienna, Austria, pages 1--17, 7-11 May 2024. [WWW]
    @inproceedings{zheng-etal24iclr,
    author = {J. Zheng and Y. Yao and B. Han and D. Wang and T. Liu},
    title = {Enhancing Contrastive Learning For Ordinal Regression Via Ordinal Content Preserved Data Augmentation},
    year = {2024},
    month = {7-11 May},
    volume = {},
    booktitle = {ICLR},
    editor = {},
    organization = {},
    pages = {1--17},
    publisher = {},
    address = {Vienna, Austria},
    url = {https://openreview.net/pdf?id=kx2XZlmgB1} 
    }
    


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