Dr Patrick Zhang
Postdoctoral Research Fellow
School of Electrical Engineering and Computer Science
Journal Articles
Zhang, Teng, Liu, Liangchen, Zhao, Kun, Wiliem, Arnold, Hemson, Graham and Lovell, Brian (2020). Omni-supervised joint detection and pose estimation for wild animals. Pattern Recognition Letters, 132, 84-90. doi: 10.1016/j.patrec.2018.11.002
Liu, Liangchen, Nie, Feiping, Wiliem, Arnold, Li, Zhihui, Zhang, Teng and Lovell, Brian C. (2018). Multi-modal joint clustering with application for unsupervised attribute discovery. IEEE Transactions On Image Processing, 27 (9), 4345-4356. doi: 10.1109/TIP.2018.2831454
Conference Papers
Alhammad, Sarah, Zhang, Teng, Zhao, Kun, Hobson, Peter, Jennings, Anthony and Lovell, Brian C. (2022). Efficient cell labelling for gram stain WSIs. 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, 21-25 August 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icpr56361.2022.9956490
Kurihara, Kohei, Wang, Tianren, Zhang, Teng and Lovell, Brian C. (2021). Boundary guided image translation for pose estimation from ultra-low resolution thermal sensor. 25th International Conference on Pattern Recognition (ICPR), Online, 10-15 January 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICPR48806.2021.9412250
Zhang, Teng, Liu, Liangchen, Wiliem, Arnold, Connor, Stephen, Ilich, Zelkjo, Van Der Draai, Eddie and Lovell, Brian (2019). Deep corrosion assessment for electrical transmission towers. 2019 Digital Image Computing: Techniques and Applications, DICTA 2019, Perth, WA, Australia, 2-4 December 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA47822.2019.8945905
Zhao, Kun, Tang, Yu Ji Jerry, Zhang, Teng, Carvajal, Johanna, Smith, Daniel F., Wiliem, Arnold, Hobson, Peter, Jennings, Anthony and Lovell, Brian C. (2019). DGDI: a dataset for detecting glomeruli on renal direct immunofluorescence. 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, Canberra, ACT, Australia, 10-13 December 2018. New York, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA.2018.8615769
Zhang, Teng, Wiliem, Arnold, Hobson, Peter, Jennings, Anthony and Lovell, Brian C. (2019). Training region selector for gram stained slides with limited data: a data distillation approach. 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, Canberra, ACT, 10-13 December 2018. New York, NY, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA.2018.8615760
Liu, Liangchen, Zhang, Teng, Zhao, Kun, Wiliem, Arnold, Astin-Walmsley, Kieren and Lovell, Brian (2019). Deep inspection: an electrical distribution pole parts study VIA deep neural networks. IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 22-25 September 2019. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICIP.2019.8803415
San, Wai Y. K., Zhang, Teng, Chen, Shaokang, Wiliem, Arnold, Stefanelli, Dario and Lovell, Brian C. (2019). Early experience of depth estimation on intricate objects using generative adversarial networks. 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, Canberra, ACT, Australia, 10-13 December 2018. New York, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA.2018.8615783
Zhang, Teng, Wiliem, Arnold, Yang, Siqi and Lovell, Brian C. (2018). TV-GAN: generative adversarial network based thermal to visible face recognition. International Conference on Biometrics (ICB), Gold Coast, QLD, Australia, 20 - 23 February 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICB2018.2018.00035
Zhang, Teng, Carvajal, Johanna, Smith, Daniel F., Zhao, Kun, Wiliem, Arnold, Hobson, Peter, Jennings, Anthony and Lovell, Brian C. (2018). SlideNet: fast and accurate slide quality assessment based on deep neural networks. 24th International Conference on Pattern Recognition, ICPR 2018, Beijing, China, 20 - 24 August 2018. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICPR.2018.8546205