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2019

Conference Publication

To what extent does downsampling, compression, and data scarcity impact renal image analysis?

Peng, Can, Zhao, Kun, Wiliem, Arnold, Zhang, Teng, Hobson, Peter, Jennings, Anthony and Lovell, Brian C. (2019). To what extent does downsampling, compression, and data scarcity impact renal image analysis?. 2019 Digital Image Computing: Techniques and Applications (DICTA), Perth, WA Australia, 2-4 December 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA47822.2019.8945813

To what extent does downsampling, compression, and data scarcity impact renal image analysis?

2019

Conference Publication

Recurrent attention networks for medical concept prediction

Maksoud, Sam, Wiliem, Arnold and Lovell, Brian (2019). Recurrent attention networks for medical concept prediction. 20th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2019, Lugano, Switzerland, 9 - 12 September 2019. Aachen, Germany: CEUR-WS.

Recurrent attention networks for medical concept prediction

2019

Conference Publication

Deep inspection: an electrical distribution pole parts study VIA deep neural networks

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

Deep inspection: an electrical distribution pole parts study VIA deep neural networks

2019

Conference Publication

Training region selector for gram stained slides with limited data: a data distillation approach

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

Training region selector for gram stained slides with limited data: a data distillation approach

2019

Conference Publication

Deep corrosion assessment for electrical transmission towers

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

Deep corrosion assessment for electrical transmission towers

2019

Conference Publication

Deep instance-level hard negative mining model for histopathology images

Li, Meng, Wu, Lin, Wiliem, Arnold, Zhao, Kun, Zhang, Teng and Lovell, Brian (2019). Deep instance-level hard negative mining model for histopathology images. MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention, Shenzhen, China, 13-17 October 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-32239-7_57

Deep instance-level hard negative mining model for histopathology images

2018

Conference Publication

An innovative approach to estimate carbon status for improved crop load management in apple

Darbyshire, R., San, W. Y. K., Plozza, T., Lovell, B. C., Flachowsky, H., Wünsche, J. and Stefanelli, D. (2018). An innovative approach to estimate carbon status for improved crop load management in apple. International Symposium on Flowering, Fruit Set and Alternate Bearing, Palermo, Italy, 19-23 June 2017. Leuven, Belgium: International Society for Horticultural Science. doi: 10.17660/ActaHortic.2018.1229.43

An innovative approach to estimate carbon status for improved crop load management in apple

2018

Conference Publication

Using LIP to gloss over faces in single-stage face detection networks

Yang, Siqi, Wiliem, Arnold, Chen, Shaokang and Lovell, Brian C. (2018). Using LIP to gloss over faces in single-stage face detection networks. 15th European Conference on Computer Vision, ECCV 2018, Munich, Germany, 8-14 September 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-01267-0_39

Using LIP to gloss over faces in single-stage face detection networks

2018

Conference Publication

TV-GAN: generative adversarial network based thermal to visible face recognition

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

TV-GAN: generative adversarial network based thermal to visible face recognition

2018

Conference Publication

It takes two to tango: cascading off-the-shelf face detectors

Yang, Siqi, Wiliem, Arnold and Lovell, Brian C. (2018). It takes two to tango: cascading off-the-shelf face detectors. IEEE Conference on Computer Vision and Pattern Recognition Workshops in Biometrics (CVPRW), Salt Lake City, UT, United States, 18 - 22 June 2018. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/CVPRW.2018.00095

It takes two to tango: cascading off-the-shelf face detectors

2018

Conference Publication

SlideNet: fast and accurate slide quality assessment based on deep neural networks

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

SlideNet: fast and accurate slide quality assessment based on deep neural networks

2017

Conference Publication

Unsupervised automatic attribute discovery method via multi-graph clustering

Liu, Liangchen, Nie, Feiping, Zhang, Teng, Wiliem, Arnold and Lovell, Brian C. (2017). Unsupervised automatic attribute discovery method via multi-graph clustering. International Conference on Pattern Recognition (ICPR), Cancún, México, 4-8 December 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICPR.2016.7899883

Unsupervised automatic attribute discovery method via multi-graph clustering

2017

Conference Publication

The GIST of aligning faces

Yang, Siqi, Wiliem, Arnold and Lovell, Brian C. (2017). The GIST of aligning faces. 2016 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 4-8 December 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICPR.2016.7900095

The GIST of aligning faces

2017

Conference Publication

How do you develop a face detector for the unconstrained environment?

San, Wai Y. K., Chen, Shaokang, Wiliem, Arnold, Di, Binn and Lovell, Brian C. (2017). How do you develop a face detector for the unconstrained environment?. 2016 International Conference on Image and Vision Computing New Zealand, IVCNZ 2016, Palmerston North, New Zealand, 21 - 22 November 2016. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/IVCNZ.2016.7804414

How do you develop a face detector for the unconstrained environment?

2017

Conference Publication

Landmark manifold: revisiting the Riemannian manifold approach for facial emotion recognition

Zhao, Kun, Yang, Siqi, Wiliem, Arnold and Lovell, Brian C. (2017). Landmark manifold: revisiting the Riemannian manifold approach for facial emotion recognition. 2016 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 4-8 December 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/ICPR.2016.7899782

Landmark manifold: revisiting the Riemannian manifold approach for facial emotion recognition

2017

Conference Publication

An early experience toward developing computer aided diagnosis for gram-stained smears images

Carvajal, Johanna, Smith, Daniel F., Zhao, Kun, Wiliem, Arnold, Finucane, Paul, Hobson, Peter, Jennings, Anthony, McDougall, Rodney and Lovell, Brian (2017). An early experience toward developing computer aided diagnosis for gram-stained smears images. 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Honolulu, HI, United States, 21-26 July 2017. Piscataway, NJ, United States: IEEE. doi: 10.1109/CVPRW.2017.113

An early experience toward developing computer aided diagnosis for gram-stained smears images

2017

Conference Publication

Towards Miss Universe automatic prediction: the evening gown competition

Carvajal, Johanna, Wiliem, Arnold, Sanderson, Conrad and Lovell, Brian (2017). Towards Miss Universe automatic prediction: the evening gown competition. 23rd International Conference on Pattern Recognition, ICPR 2016, Cancun, Mexico, 4 - 8 December 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICPR.2016.7899781

Towards Miss Universe automatic prediction: the evening gown competition

2017

Conference Publication

To face or not to face: towards reducing false positive of face detection

Yang, Siqi, Wiliem, Arnold and Lovell, Brian C. (2017). To face or not to face: towards reducing false positive of face detection. 2016 International Conference on Image and Vision Computing New Zealand, IVCNZ 2016, Palmerston North, New Zealand, 21 - 22 November 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IVCNZ.2016.7804415

To face or not to face: towards reducing false positive of face detection

2016

Conference Publication

A Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions

Carvajal, Johanna, Wiliem, Arnold, McCool, Chris, Lovell, Brian and Sanderson, Conrad (2016). A Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions. Pacific-Asia Conference on Knowledge Discovery and Data Mining, Auckland, New Zealand, 19-22 April 2016. CHAM: Springer. doi: 10.1007/978-3-319-42996-0_8

A Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions

2016

Conference Publication

Determining the best attributes for surveillance video keywords generation

Liu, Liangchen, Wiliem, Arnold, Chen, Shaokang, Zhao, Kun and Lovell, Brian C. (2016). Determining the best attributes for surveillance video keywords generation. 2nd IEEE International Conference on Identity, Security and Behavior Analysis, ISBA 2016, Sendai, Japan, 29 February - 2 March 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ISBA.2016.7477239

Determining the best attributes for surveillance video keywords generation