Sridha Sridharan

research

∙ 09/18/2023

FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training

Hyperspectral images (HSIs) contain rich spectral and spatial informatio...

0 Shaheer Mohamed, et al. ∙

research

∙ 08/17/2023

Learning Through Guidance: Knowledge Distillation for Endoscopic Image Classification

Endoscopy plays a major role in identifying any underlying abnormalities...

0 Harshala Gammulle, et al. ∙

research

∙ 08/09/2023

GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors

LiDAR place recognition approaches based on deep learning suffer a signi...

0 Joshua Knights, et al. ∙

research

∙ 07/07/2023

General-Purpose Multimodal Transformer meets Remote Sensing Semantic Segmentation

The advent of high-resolution multispectral/hyperspectral sensors, LiDAR...

0 Nhi Kieu, et al. ∙

research

∙ 05/19/2023

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

Humans exhibit complex motions that vary depending on the task that they...

0 Tharindu Fernando, et al. ∙

research

∙ 05/01/2023

Physical Adversarial Attacks for Surveillance: A Survey

Modern automated surveillance techniques are heavily reliant on deep lea...

0 Kien Nguyen, et al. ∙

research

∙ 04/05/2023

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

Heatmaps are widely used to interpret deep neural networks, particularly...

0 Osman Tursun, et al. ∙

research

∙ 11/23/2022

Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments

Many existing datasets for lidar place recognition are solely representa...

0 Joshua Knights, et al. ∙

research

∙ 11/15/2022

Using Auxiliary Information for Person Re-Identification – A Tutorial Overview

Person re-identification (re-id) is a pivotal task within an intelligent...

0 Tharindu Fernando, et al. ∙

research

∙ 10/10/2022

Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization

Although re-ranking methods are widely used in many retrieval tasks to i...

7 Kavisha Vidanapathirana, et al. ∙

research

∙ 07/05/2022

SESS: Saliency Enhancing with Scaling and Sliding

High-quality saliency maps are essential in several machine learning app...

7 Osman Tursun, et al. ∙

research

∙ 04/05/2022

Towards On-Board Panoptic Segmentation of Multispectral Satellite Images

With tremendous advancements in low-power embedded computing devices and...

0 Tharindu Fernando, et al. ∙

research

∙ 03/02/2022

InCloud: Incremental Learning for Point Cloud Place Recognition

Place recognition is a fundamental component of robotics, and has seen t...

5 Joshua Knights, et al. ∙

research

∙ 01/09/2022

The State of Aerial Surveillance: A Survey

The rapid emergence of airborne platforms and imaging sensors are enabli...

13 Kien Nguyen, et al. ∙

research

∙ 12/01/2021

Point Cloud Segmentation Using Sparse Temporal Local Attention

Point clouds are a key modality used for perception in autonomous vehicl...

15 Joshua Knights, et al. ∙

research

∙ 09/17/2021

LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition

Retrieval-based place recognition is an efficient and effective solution...

19 Kavisha Vidanapathirana, et al. ∙

research

∙ 08/20/2021

Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization

Domain generalization approaches aim to learn a domain invariant predict...

0 Mohammad Mahfujur Rahman, et al. ∙

research

∙ 08/09/2021

Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis

This paper presents a novel lightweight COVID-19 diagnosis framework usi...

0 Harshala Gammulle, et al. ∙

research

∙ 06/30/2021

Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings

This paper proposes a novel framework for lung sound event detection, se...

0 Tharindu Fernando, et al. ∙

research

∙ 04/28/2021

Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification

In a real world environment, person re-identification (Re-ID) is a chall...

2 Amena Khatun, et al. ∙

research

∙ 04/28/2021

Pose-driven Attention-guided Image Generation for Person Re-Identification

Person re-identification (re-ID) concerns the matching of subject images...

8 Amena Khatun, et al. ∙

research

∙ 04/28/2021

Preserving Semantic Consistency in Unsupervised Domain Adaptation Using Generative Adversarial Networks

Unsupervised domain adaptation seeks to mitigate the distribution discre...

0 Mohammad Mahfujur Rahman, et al. ∙

research

∙ 04/28/2021

Deep Domain Generalization with Feature-norm Network

In this paper, we tackle the problem of training with multiple source do...

0 Mohammad Mahfujur Rahman, et al. ∙

research

∙ 04/15/2021

Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval

Large-scale trademark retrieval is an important content-based image retr...

0 Osman Tursun, et al. ∙

research

∙ 02/08/2021

An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval

Recently, Zero-shot Sketch-based Image Retrieval (ZS-SBIR) has attracted...

5 Osman Tursun, et al. ∙

research

∙ 01/27/2021

Im2Mesh GAN: Accurate 3D Hand Mesh Recovery from a Single RGB Image

This work addresses hand mesh recovery from a single RGB image. In contr...

0 Akila Pemasiri, et al. ∙

research

∙ 12/04/2020

Deep Learning for Medical Anomaly Detection – A Survey

Machine learning-based medical anomaly detection is an important problem...

44 Tharindu Fernando, et al. ∙

research

∙ 11/30/2020

Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling

Place Recognition (PR) enables the estimation of a globally consistent m...

0 Kavisha Vidanapathirana, et al. ∙

research

∙ 11/23/2020

Complex-valued Iris Recognition Network

In this work, we design a complex-valued neural network for the task of ...

0 Kien Nguyen, et al. ∙

research

∙ 11/18/2020

Patient-independent Epileptic Seizure Prediction using Deep Learning Models

Objective: Epilepsy is one of the most prevalent neurological diseases a...

12 Theekshana Dissanayake, et al. ∙

research

∙ 11/12/2020

Domain Generalization in Biosignal Classification

Objective: When training machine learning models, we often assume that t...

7 Theekshana Dissanayake, et al. ∙

research

∙ 11/10/2020

Fast Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers

Neural Memory Networks (NMNs) have received increased attention in recen...

0 Tharindu Fernando, et al. ∙

research

∙ 11/10/2020

Multi-modal Fusion for Single-Stage Continuous Gesture Recognition

Gesture recognition is a much studied research area which has myriad rea...

2 Harshala Gammulle, et al. ∙

research

∙ 09/23/2020

Attention Driven Fusion for Multi-Modal Emotion Recognition

Deep learning has emerged as a powerful alternative to hand-crafted meth...

0 Darshana Priyasad, et al. ∙

research

∙ 08/05/2020

Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM

Map-centric SLAM utilizes elasticity as a means of loop closure. This ap...

0 Chanoh Park, et al. ∙

research

∙ 07/16/2020

Memory Based Attentive Fusion

The use of multi-modal data for deep machine learning has shown promise ...

0 Darshana Priyasad, et al. ∙

research

∙ 07/12/2020

Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis

Automating the analysis of imagery of the Gastrointestinal (GI) tract ca...

0 Harshala Gammulle, et al. ∙

research

∙ 06/23/2020

Meta Transfer Learning for Emotion Recognition

Deep learning has been widely adopted in automatic emotion recognition a...

0 Dung Nguyen, et al. ∙

research

∙ 05/21/2020

Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection

Traditionally, abnormal heart sound classification is framed as a three-...

0 Theekshana Dissanayake, et al. ∙

research

∙ 05/07/2020

End-to-End Domain Adaptive Attention Network for Cross-Domain Person Re-Identification

Person re-identification (re-ID) remains challenging in a real-world sce...

0 Amena Khatun, et al. ∙

research

∙ 05/07/2020

Hierarchical Attention Network for Action Segmentation

The temporal segmentation of events is an essential task and a precursor...

0 Harshala Gammulle, et al. ∙

research

∙ 04/28/2020

Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition

Multimodal dimensional emotion recognition has drawn a great attention f...

4 Dung Nguyen, et al. ∙

research

∙ 04/02/2020

Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection

This paper presents a novel framework for Speech Activity Detection (SAD...

0 Tharindu Fernando, et al. ∙

research

∙ 04/02/2020

Heart Sound Segmentation using Bidirectional LSTMs with Attention

This paper proposes a novel framework for the segmentation of phonocardi...

0 Tharindu Fernando, et al. ∙

research

∙ 03/24/2020

Joint Deep Cross-Domain Transfer Learning for Emotion Recognition

Deep learning has been applied to achieve significant progress in emotio...

0 Dung Nguyen, et al. ∙

research

∙ 02/05/2020

Enhancing Feature Invariance with Learned Image Transformations for Image Retrieval

Off-the-shelf convolutional neural network features achieve state-of-the...

27 Osman Tursun, et al. ∙

research

∙ 01/17/2020

Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach

The demand for multimodal sensing systems for robotics is growing due to...

0 Chanoh Park, et al. ∙

research

∙ 12/16/2019

MTRNet++: One-stage Mask-based Scene Text Eraser

A precise, controllable, interpretable and easily trainable text removal...

2 Osman Tursun, et al. ∙

research

∙ 12/16/2019

Predicting the Future: A Jointly Learnt Model for Action Anticipation

Inspired by human neurological structures for action anticipation, we pr...

38 Harshala Gammulle, et al. ∙

research

∙ 11/29/2019

Correlation-aware Adversarial Domain Adaptation and Generalization

Domain adaptation (DA) and domain generalization (DG) have emerged as a ...

0 Mohammad Mahfujur Rahman, et al. ∙

Sridha Sridharan

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