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Select Publications
Conference Papers
, 2015, 'Imperfect understandings: a grounded theory and eye gaze investigation of human perceptions of manipulated and unmanipulated digital images', in Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science, Barcelona, Spain, presented at World Congress on Electrical Engineering and Computer Science, Barcelona, Spain, 13 July 2015
, 2015, 'Optimising Peer Marking with Explicit Training: from Superficial to Deep Learning', Universitat Politecnica de Valencia, pp. 626 - 631, presented at HEAd'15. Conference on Higher Education Advances, http://dx.doi.org/10.4995/head15.2015.441
, 2014, 'Framework for dynamic text presentation in eLearning', in Procedia Computer Science, pp. 150 - 153, http://dx.doi.org/10.1016/j.procs.2014.11.022
, 2013, 'Wands are magic: A comparison of devices used in 3D pointing interfaces', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 512 - 519, http://dx.doi.org/10.1007/978-3-642-40477-1_32
Reports
, 2021, human interpretability of AI-mediated comparisons of sparse natural person photos
Theses / Dissertations
, 2016, Framing digital image credibility: image manipulation problems, perceptions and solutions, The Australian National University, http://dx.doi.org/10.25911/5d70f0183ca9d
, 2008, Politics of imagination : Richard Kelly Tipping and the art and technology of words, images and objects, The Australian National University, http://dx.doi.org/10.25911/5d626c1e0d342
Preprints
, 2025, Visual and Textual Prompts in VLLMs for Enhancing Emotion Recognition, http://dx.doi.org/10.48550/arxiv.2504.17224
, 2024, Visual Prompting in LLMs for Enhancing Emotion Recognition, http://dx.doi.org/10.48550/arxiv.2410.02244
, 2022, AMF: Adaptable Weighting Fusion with Multiple Fine-tuning for Image Classification, http://dx.doi.org/10.48550/arxiv.2207.12944
, 2021, Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent Space, http://dx.doi.org/10.48550/arxiv.2108.10265
, 2020, Are Deep Neural Architectures Losing Information? Invertibility Is Indispensable, http://dx.doi.org/10.48550/arxiv.2009.03173
, 2020, A Token-wise CNN-based Method for Sentence Compression, http://dx.doi.org/10.48550/arxiv.2009.11260
, 2018, Neural Networks Assist Crowd Predictions in Discerning the Veracity of Emotional Expressions, http://dx.doi.org/10.48550/arxiv.1808.05359