Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients. - Johanna Carvajal; Conrad Sanderson; Chris McCool; Brian C. Lovell (MLSDA@PRICAI, 2014)

Summarisation of short-term and long-term videos using texture and colour. - Johanna Carvajal; Chris McCool; Conrad Sanderson (WACV, 2014)

Towards Miss Universe automatic prediction: The evening gown competition. - Johanna Carvajal; Arnold Wiliem; Conrad Sanderson; Brian C. Lovell (ICPR, 2016)

Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors. - Johanna Carvajal; Chris McCool; Brian C. Lovell; Conrad Sanderson (PAKDD Workshops, 2016)

Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions. - Johanna Carvajal; Arnold Wiliem; Chris McCool; Brian C. Lovell; Conrad Sanderson (PAKDD Workshops, 2016)

Action analysis and video summarisation to efficiently manage and interpret video data - Johanna Carvajal (2016)

An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images. - Johanna Carvajal; Daniel F. Smith; Kun Zhao 001; Arnold Wiliem; Paul Finucane; Peter Hobson; Anthony Jennings; Rodney McDougall; Brian C. Lovell (CVPR Workshops, 2017)

DGDI: A Dataset for Detecting Glomeruli on Renal Direct Immunofluorescence. - Kun Zhao 001; Yu Ji Jerry Tang; Teng Zhang 004; Johanna Carvajal; Daniel F. Smith; Arnold Wiliem; Peter Hobson; Anthony Jennings; Brian C. Lovell (DICTA, 2018)

SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks. - Teng Zhang 004; Johanna Carvajal; Daniel F. Smith; Kun Zhao 001; Arnold Wiliem; Peter Hobson; Anthony Jennings; Brian C. Lovell (ICPR, 2018)