266 citations · 347 across the 21 of their papers we have counts for
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Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification
Amena Khatun, Simon Denman, Sridha Sridharan +1
In a real world environment, person re-identification (Re-ID) is a challenging task due to variations in lighting conditions, viewing angles, pose and occlusions. Despite recent pe…
Pose-driven Attention-guided Image Generation for Person Re-Identification
Amena Khatun, Simon Denman, Sridha Sridharan +1
Person re-identification (re-ID) concerns the matching of subject images across different camera views in a multi camera surveillance system. One of the major challenges in person…
Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval
Osman Tursun, Simon Denman, Sridha Sridharan +1
Large-scale trademark retrieval is an important content-based image retrieval task. A recent study shows that off-the-shelf deep features aggregated with Regional-Maximum Activatio…
An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval
Osman Tursun, Simon Denman, Sridha Sridharan +2
Recently, Zero-shot Sketch-based Image Retrieval (ZS-SBIR) has attracted the attention of the computer vision community due to it's real-world applications, and the more realistic…
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks
Dominic Jack, Frederic Maire, Simon Denman +1
Image convolutions have been a cornerstone of a great number of deep learning advances in computer vision. The research community is yet to settle on an equivalent operator for spa…
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…