Johanna Carvajal

According to our database, Johanna Carvajal authored at least 9 papers between 2014 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2018

SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks.

Teng Zhang, Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell

Proceedings of the 24th International Conference on Pattern Recognition, 2018

DGDI: A Dataset for Detecting Glomeruli on Renal Direct Immunofluorescence.

Kun Zhao, Yu Ji Jerry Tang, Teng Zhang, Johanna Carvajal, Daniel F. Smith, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

2017

An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images.

Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Paul Finucane, Peter Hobson, Anthony Jennings, Rodney McDougall, Brian C. Lovell

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Action analysis and video summarisation to efficiently manage and interpret video data

Johanna Carvajal

PhD thesis, 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

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors.

Johanna Carvajal, Chris McCool, Brian C. Lovell, Conrad Sanderson

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Towards Miss Universe automatic prediction: The evening gown competition.

Johanna Carvajal, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2014

Summarisation of short-term and long-term videos using texture and colour.

Johanna Carvajal, Chris McCool, Conrad Sanderson

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients.

Johanna Carvajal, Conrad Sanderson, Chris McCool, Brian C. Lovell

Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, 2014