108 citations · 839 across the 102 of their papers we have counts for
12 papers · 1 filter
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…
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis
Harshala Gammulle, Tharindu Fernando, Sridha Sridharan +2
This paper presents a novel lightweight COVID-19 diagnosis framework using CT scans. Our system utilises a novel two-stage approach to generate robust and efficient diagnoses acros…
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings
Tharindu Fernando, Sridha Sridharan, Simon Denman +2
This paper proposes a novel framework for lung sound event detection, segmenting continuous lung sound recordings into discrete events and performing recognition on each event. Exp…
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…
Deep Domain Generalization with Feature-norm Network
Mohammad Mahfujur Rahman, Clinton Fookes, Sridha Sridharan
In this paper, we tackle the problem of training with multiple source domains with the aim to generalize to new domains at test time without an adaptation step. This is known as do…
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…
Im2Mesh GAN: Accurate 3D Hand Mesh Recovery from a Single RGB Image
Akila Pemasiri, Kien Nguyen Thanh, Sridha Sridharan +1
This work addresses hand mesh recovery from a single RGB image. In contrast to most of the existing approaches where the parametric hand models are employed as the prior, we show t…