108 citations · 346 across the 72 of their papers we have counts for
10 papers · 2 filters
Point Cloud Segmentation Using Sparse Temporal Local Attention
Joshua Knights, Peyman Moghadam, Clinton Fookes +1
Point clouds are a key modality used for perception in autonomous vehicles, providing the means for a robust geometric understanding of the surrounding environment. However despite…
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition
Kavisha Vidanapathirana, Milad Ramezani, Peyman Moghadam +2
Retrieval-based place recognition is an efficient and effective solution for re-localization within a pre-built map, or global data association for Simultaneous Localization and Ma…
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization
Mohammad Mahfujur Rahman, Clinton Fookes, Sridha Sridharan
Domain generalization approaches aim to learn a domain invariant prediction model for unknown target domains from multiple training source domains with different distributions. Sig…
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…
Preserving Semantic Consistency in Unsupervised Domain Adaptation Using Generative Adversarial Networks
Mohammad Mahfujur Rahman, Clinton Fookes, Sridha Sridharan
Unsupervised domain adaptation seeks to mitigate the distribution discrepancy between source and target domains, given labeled samples of the source domain and unlabeled samples of…