Publications (76)
PDV: Prompt Directional Vectors for Zero-shot Composed Image Retrieval
Osman Tursun, Sinan Kalkan, Simon Denman +1
Zero-shot Composed Image Retrieval (ZS-CIR) enables image search using a reference image and a text prompt without requiring specialized text-image composition networks trained on…
Geometry-constrained Car Recognition Using a 3D Perspective Network
Rui Zeng, Zongyuan Ge, Simon Denman +2
We present a novel learning framework for vehicle recognition from a single RGB image. Unlike existing methods which only use attention mechanisms to locate 2D discriminative infor…
Domain Generalization in Biosignal Classification
Theekshana Dissanayake, Tharindu Fernando, Simon Denman +3
Objective: When training machine learning models, we often assume that the training data and evaluation data are sampled from the same distribution. However, this assumption is vio…
Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection
Tharindu Fernando, Sridha Sridharan, Mitchell McLaren +3
This paper presents a novel framework for Speech Activity Detection (SAD). Inspired by the recent success of multi-task learning approaches in the speech processing domain, we prop…
A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-detection
Amena Khatun, Simon Denman, Sridha Sridharan +1
State-of-the-art person re-identification systems that employ a triplet based deep network suffer from a poor generalization capability. In this paper, we propose a four stream Sia…
Patient-independent Epileptic Seizure Prediction using Deep Learning Models
Theekshana Dissanayake, Tharindu Fernando, Simon Denman +2
Objective: Epilepsy is one of the most prevalent neurological diseases among humans and can lead to severe brain injuries, strokes, and brain tumors. Early detection of seizures ca…