Dermot Kerr

Orcid: 0000-0002-5077-0658

According to our database1, Dermot Kerr authored at least 88 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Supervised Meta-Reinforcement Learning With Trajectory Optimization for Manipulation Tasks.
IEEE Trans. Cogn. Dev. Syst., April, 2024

A knowledge distillation-based multi-scale relation-prototypical network for cross-domain few-shot defect classification.
J. Intell. Manuf., February, 2024

LARNet: Towards Lightweight, Accurate and Real-Time Salient Object Detection.
IEEE Trans. Multim., 2024

Double-Domain Adaptation Semantics for Retrieval-Based Long-Term Visual Localization.
IEEE Trans. Multim., 2024

Multibranch Joint Representation Learning Based on Information Fusion Strategy for Cross-View Geo-Localization.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
ELWNet: An Extremely Lightweight Approach for Real-Time Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

Object SLAM With Robust Quadric Initialization and Mapping for Dynamic Outdoors.
IEEE Trans. Intell. Transp. Syst., October, 2023

Keypoint Changes for Fast Human Activity Recognition.
SN Comput. Sci., September, 2023

Unseen-Material Few-Shot Defect Segmentation With Optimal Bilateral Feature Transport Network.
IEEE Trans. Ind. Informatics, July, 2023

WUSL-SOD: Joint weakly supervised, unsupervised and supervised learning for salient object detection.
Neural Comput. Appl., July, 2023

MMPL-Net: multi-modal prototype learning for one-shot RGB-D segmentation.
Neural Comput. Appl., May, 2023

Structure-Aware Feature Disentanglement With Knowledge Transfer for Appearance-Changing Place Recognition.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

A Computational Approach to Uncertainty in DNA Sequences.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Quantifying Temporal Entropy in Neuromorphic Memory Forgetting: Exploring Advanced Forgetting Models for Robust Long-Term Information Storage.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Neuromorphic Event Alarm Time-Series Suppression.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

BSH-Det3D: Improving 3D Object Detection with BEV Shape Heatmap.
IROS, 2023

SAMLoc: Structure-Aware Constraints With Multi-Task Distillation for Long-Term Visual Localization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Time Efficient Micro-Expression Recognition Using Weighted Spatio-Temporal Landmark Graphs.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Cloud-based Learning for Robot Control.
Proceedings of the IEEE International Conference on Industrial Technology, 2023

2022
Editorial Biologically Learned/Inspired Methods for Sensing, Control, and Decision.
IEEE Trans. Neural Networks Learn. Syst., 2022

Event-VPR: End-to-End Weakly Supervised Deep Network Architecture for Visual Place Recognition Using Event-Based Vision Sensor.
IEEE Trans. Instrum. Meas., 2022

Data Assimilation Network for Generalizable Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2022

Image Sensing and Processing with Convolutional Neural Networks.
Sensors, 2022

Accurate and Robust Object SLAM With 3D Quadric Landmark Reconstruction in Outdoors.
IEEE Robotics Autom. Lett., 2022

Object-Aware SLAM Based on Efficient Quadric Initialization and Joint Data Association.
IEEE Robotics Autom. Lett., 2022

TF-SOD: a novel transformer framework for salient object detection.
Neural Comput. Appl., 2022

Complementary characteristics fusion network for weakly supervised salient object detection.
Image Vis. Comput., 2022

Transparent Models for Stock Market Price Forecasting.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

VAC-Net: Visual Attention Consistency Network for Person Re-identification.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Semantic Topological Descriptor for Loop Closure Detection within 3D Point Clouds In Outdoor Environment.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Deep Learning for Semiconductor Defect Classification.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

2021
Using Social Signals to Predict Shoplifting: A Transparent Approach to a Sensitive Activity Analysis Problem.
Sensors, 2021

An Efficient CNN-Based Deep Learning Model to Detect Malware Attacks (CNN-DMA) in 5G-IoT Healthcare Applications.
Sensors, 2021

MFC-Net : Multi-feature fusion cross neural network for salient object detection.
Image Vis. Comput., 2021

A visual place recognition approach using learnable feature map filtering and graph attention networks.
Neurocomputing, 2021

Multi-level cross-view consistent feature learning for person re-identification.
Neurocomputing, 2021

Accurate and Robust Object-oriented SLAM with 3D Quadric Landmark Construction in Outdoor Environment.
CoRR, 2021

Fast Human Activity Recognition.
Proceedings of the International Conference on Image Processing and Vision Engineering, 2021

Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Computational Approach to Identifying Contrast-Driven Retinal Ganglion Cells.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Appearance-invariant place recognition by adversarially learning disentangled representation.
Robotics Auton. Syst., 2020

Multi-level and multi-scale horizontal pooling network for person re-identification.
Multim. Tools Appl., 2020

A predictive model for paediatric autism screening.
Health Informatics J., 2020

Event-VPR: End-to-End Weakly Supervised Network Architecture for Event-based Visual Place Recognition.
CoRR, 2020

DENSE-INception U-net for medical image segmentation.
Comput. Methods Programs Biomed., 2020

EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Towards real-time activity recognition.
Proceedings of the 4th IEEE International Conference on Image Processing, 2020

Reducing-Over-Time Tree for Event-based Data.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Technical Indicators and Prediction for Energy Market Forecasting.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Post-Stimulus Time-Dependent Event Descriptor.
Proceedings of the IEEE International Conference on Image Processing, 2020

Neural Coding Strategies for Event-Based Vision Data.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Explainable Artificial Intelligence for Falls Prediction.
Proceedings of the Advances in Computing and Data Sciences - 4th International Conference, 2020

2019
Computational modelling of salamander retinal ganglion cells using machine learning approaches.
Neurocomputing, 2019

Forecasting Day-ahead Electricity Prices with A SARIMAX Model.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Using Machine Learning Algorithms to Predict the Likelihood of Recurrent Falls in Older Adults.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Adversarially Erased Learning for Person Re-identification by Fully Convolutional Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Bioinspired Approach to Modeling Retinal Ganglion Cells Using System Identification Techniques.
IEEE Trans. Neural Networks Learn. Syst., 2018

Biologically Inspired Intensity and Depth Image Edge Extraction.
IEEE Trans. Neural Networks Learn. Syst., 2018

PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing.
CoRR, 2018

Daily Energy Price Forecasting Using a Polynomial NARMAX Model.
Proceedings of the Advances in Computational Intelligence Systems, 2018

Transparent Modelling of Risk Assessment factors for Assisted Living.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Feature Extraction with Computational Intelligence for Head Pose Estimation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

A Linear Polynomial NARMAX Model with Multiple Factors to Forecast Day-Ahead Electricity Prices.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Day-Ahead Price Forecasting in Great Britain's BETTA Electricity Market.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Biological Goal Seeking.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Investigation into Sub-Receptive Fields of Retinal Ganglion Cells with Natural Images.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Sensor-based Vital Sign Monitoring, Analysis and Visualisation for Ageing in Place.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2016
Steering a predator robot using a mixed frame/event-driven convolutional neural network.
Proceedings of the Second International Conference on Event-based Control, 2016

2015
A biologically inspired spiking model of visual processing for image feature detection.
Neurocomputing, 2015

Modelling of a retinal ganglion cell with simple spiking models.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Modelling retinal ganglion cells using self-organising fuzzy neural networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Modelling and Analysis of Retinal Ganglion Cells Through System Identification.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

2013
Biologically inspired intensity and range image feature extraction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
A novel approach to robot vision using a hexagonal grid and spiking neural networks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Finite Element Laplacian Feature Detector.
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2011), 2011

Biologically inspired edge detection.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Spiking Hierarchical Neural Network for Corner Detection.
Proceedings of the NCTA 2011, 2011

Biologically Inspired Edge Detection using Spiking Neural Networks and Hexagonal Images.
Proceedings of the NCTA 2011, 2011

Corner detection on hexagonal pixel based images.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

A Finite Element Blob Detector for Robust Features.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

2010
A Space Variant Gradient Based Corner Detector for Sparse Omnidirectional Images.
J. Math. Imaging Vis., 2010

2009
FESID: Finite Element Scale Invariant Detector.
Proceedings of the Image Analysis and Processing, 2009

2008
Autonomous Scale Invariant Feature Extraction.
PhD thesis, 2008

Processing Sparse Panoramic Images via Space Variant Operators.
J. Math. Imaging Vis., 2008

Interest point detection on incomplete images.
Proceedings of the International Conference on Image Processing, 2008

2007
Concurrent Edge and Corner Detection.
Proceedings of the International Conference on Image Processing, 2007

Integrated Edge and Corner Detection.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

2006
A Graph Theoretic Approach to Direct Processing of Sparse Unwarped Panoramic Images.
Proceedings of the International Conference on Image Processing, 2006


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