activity
20152026
most citedGraph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

266 citations · 1.1k across the 69 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.LG2023

Multi-stage Learning for Radar Pulse Activity Segmentation

Zi Huang, Akila Pemasiri, Simon Denman +2

Radio signal recognition is a crucial function in electronic warfare. Precise identification and localisation of radar pulse activities are required by electronic warfare systems t…

cs.CV2023★ 4 cited

Deep Learning Approaches for Seizure Video Analysis: A Review

David Ahmedt-Aristizabal, Mohammad Ali Armin, Zeeshan Hayder +5

Seizure events can manifest as transient disruptions in the control of movements which may be organized in distinct behavioral sequences, accompanied or not by other observable fea…

eess.SP2023★ 18 cited

Multi-task Learning for Radar Signal Characterisation

Zi Huang, Akila Pemasiri, Simon Denman +2

Radio signal recognition is a crucial task in both civilian and military applications, as accurate and timely identification of unknown signals is an essential part of spectrum man…

cs.CV2023

Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction

Tharindu Fernando, Harshala Gammulle, Sridha Sridharan +2

Humans exhibit complex motions that vary depending on the task that they are performing, the interactions they engage in, as well as subject-specific preferences. Therefore, foreca…

cs.CV2023★ 2 cited

Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models

Osman Tursun, Simon Denman, Sridha Sridharan +1

Heatmaps are widely used to interpret deep neural networks, particularly for computer vision tasks, and the heatmap-based explainable AI (XAI) techniques are a well-researched topi…