Learning Salient Features for Multimodal Emotion Recognition with Recurrent Neural Networks and Attention Based Fusion. - Darshana Priyasad; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (AVSP, 2019)

Attention Driven Fusion for Multi-Modal Emotion Recognition. - Darshana Priyasad; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (ICASSP, 2020)

Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection. - Tharindu Fernando; Sridha Sridharan; Mitchell McLaren; Darshana Priyasad; Simon Denman; Clinton Fookes (CoRR, 2020)

Memory Based Attentive Fusion. - Darshana Priyasad; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (CoRR, 2020)

Temporarily-Aware Context Modeling Using Generative Adversarial Networks for Speech Activity Detection. - Tharindu Fernando; Sridha Sridharan; Mitchell McLaren; Darshana Priyasad; Simon Denman; Clinton Fookes (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Memory based fusion for multi-modal deep learning. - Darshana Priyasad; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (Inf. Fusion, 2021)

Detecting Heart Failure Through Voice Analysis using Self-Supervised Mode-Based Memory Fusion. - Darshana Priyasad; Andi Partovi; Sridha Sridharan; Maryam Kashefpoor; Tharindu Fernando; Simon Denman; Clinton Fookes; Jia Tang; David Kaye (INTERSPEECH, 2022)

Affect recognition from scalp-EEG using channel-wise encoder networks coupled with geometric deep learning and multi-channel feature fusion. - Darshana Priyasad; Tharindu Fernando; Simon Denman; Sridha Sridharan; Clinton Fookes (Knowl. Based Syst., 2022)

Face Deepfakes - A Comprehensive Review. - Tharindu Fernando; Darshana Priyasad; Sridha Sridharan; Arun Ross; Clinton Fookes (CoRR, 2025)

Decoupled and Explainable Associative Memory for Effective Knowledge Propagation. - Tharindu Fernando; Darshana Priyasad; Sridha Sridharan; Clinton Fookes (IEEE Trans. Neural Networks Learn. Syst., 2025)