Peyman Moghadam

According to our database, Peyman Moghadam authored at least 79 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition.

Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam

IEEE Robotics Autom. Lett., February, 2024

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

Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

IEEE Robotics Autom. Lett., January, 2024

FactoFormer: Factorized Hyperspectral Transformers With Self-Supervised Pretraining.

Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

IEEE Trans. Geosci. Remote. Sens., 2024

Pair-VPR: Place-Aware Pre-training and Contrastive Pair Classification for Visual Place Recognition with Vision Transformers.

Stephen Hausler, Peyman Moghadam

CoRR, 2024

M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning.

Kaushik Roy, Akila Dissanayake, Brendan Tidd, Peyman Moghadam

CoRR, 2024

Learning Compact Channel Correlation Representation for LiDAR Place Recognition.

Saimunur Rahman, Peyman Moghadam

CoRR, 2024

PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings.

Sutharsan Mahendren, Saimunur Rahman, Piotr Koniusz, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

CoRR, 2024

Shape-Space Deformer: Unified Visuo-Tactile Representations for Robotic Manipulation of Deformable Objects.

Sean M. V. Collins, Brendan Tidd, Mahsa Baktashmotlagh, Peyman Moghadam

CoRR, 2024

SOLVR: Submap Oriented LiDAR-Visual Re-Localisation.

Joshua Knights, Sebastián Barbas Laina, Peyman Moghadam, Stefan Leutenegger

CoRR, 2024

Towards Long-term Robotics in the Wild.

Stephen Hausler, Ethan Griffiths, Milad Ramezani, Peyman Moghadam

CoRR, 2024

Object Registration in Neural Fields.

David Hall, Stephen Hausler, Sutharsan Mahendren, Peyman Moghadam

CoRR, 2024

Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields.

Stephen Hausler, David Hall, Sutharsan Mahendren, Peyman Moghadam

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Pre-training with Random Orthogonal Projection Image Modeling.

Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TULIP: Transformer for Upsampling of LiDAR Point Clouds.

Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Exploiting Field Dependencies for Learning on Categorical Data.

Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Subspace distillation for continual learning.

Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi

Neural Networks, October, 2023

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

Kavisha Vidanapathirana, Peyman Moghadam, Sridha Sridharan, Clinton Fookes

IEEE Robotics Autom. Lett., May, 2023

CL3: Generalization of Contrastive Loss for Lifelong Learning.

Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi

J. Imaging, 2023

WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments.

Kavisha Vidanapathirana, Joshua Knights, Stephen Hausler, Mark Cox, Milad Ramezani, Jason Jooste, Ethan Griffiths, Shaheer Mohamed, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

CoRR, 2023

TULIP: Transformer for Upsampling of LiDAR Point Cloud.

Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil

CoRR, 2023

Multivariate Prototype Representation for Domain-Generalized Incremental Learning.

Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam

CoRR, 2023

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

Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

CoRR, 2023

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

Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

CoRR, 2023

Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models.

Yiqing Guo, Karel Mokany, Cindy Ong, Peyman Moghadam, Simon Ferrier, Shaun R. Levick

CoRR, 2023

Measuring Situational Awareness Latency in Human-Robot Teaming Experiments.

Hashini Senaratne, Alex Pitt, Fletcher Talbot, Peyman Moghadam, Pavan Sikka, David Howard, Jason Williams, Dana Kulic, Cécile Paris

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space.

Kaushik Roy, Peyman Moghadam, Mehrtash Harandi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Deep Robust Multi-Robot Re-Localisation in Natural Environments.

Milad Ramezani, Ethan Griffiths, Maryam Haghighat, Alex Pitt, Peyman Moghadam

IROS, 2023

Uncertainty-Aware Lidar Place Recognition in Novel Environments.

Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller

IROS, 2023

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

Joshua Knights, Kavisha Vidanapathirana, Milad Ramezani, Sridha Sridharan, Clinton Fookes, Peyman Moghadam

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Flashback for Continual Learning.

Leila Mahmoodi, Mehrtash Harandi, Peyman Moghadam

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Partial Correlation based Deep Visual Representation for Image Classification.

Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges.

Paulo V. K. Borges, Thierry Peynot, Sisi Liang, Bilal Arain, Matt Wildie, Melih Minareci, Serge Lichman, Garima Samvedi, Inkyu Sa, Nicolas Hudson, Michael Milford, Peyman Moghadam, Peter Corke

Field Robotics, March, 2022

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

Chanoh Park, Peyman Moghadam, Jason L. Williams, Soohwan Kim, Sridha Sridharan, Clinton Fookes

IEEE Trans. Robotics, 2022

What's in the Black Box? The False Negative Mechanisms Inside Object Detectors.

Dimity Miller, Peyman Moghadam, Mark Cox, Matt Wildie, Raja Jurdak

IEEE Robotics Autom. Lett., 2022

Wildcat: Online Continuous-Time 3D Lidar-Inertial SLAM.

Milad Ramezani, Kasra Khosoussi, Gavin Catt, Peyman Moghadam, Jason Williams, Paulo Vinicius Koerich Borges, Fred Pauling, Navinda Kottege

CoRR, 2022

A real-time edge-AI system for reef surveys.

Yang Li, Jiajun Liu, Brano Kusy, Ross Marchant, Brendan Do, Torsten Merz, Joey Crosswell, Andy Steven, Lachlan Tychsen-Smith, David Ahmedt-Aristizabal, Jeremy Oorloff, Peyman Moghadam, Russ Babcock, Megha Malpani, Ard Oerlemans

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

InCloud: Incremental Learning for Point Cloud Place Recognition.

Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Quantitative Assessment of DESIS Hyperspectral Data for Plant Biodiversity Estimation in Australia.

Yiqing Guo, Karel Mokany, Cindy Ong, Peyman Moghadam, Simon Ferrier, Shaun R. Levick

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

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

Kavisha Vidanapathirana, Milad Ramezani, Peyman Moghadam, Sridha Sridharan, Clinton Fookes

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Why Object Detectors Fail: Investigating the Influence of the Dataset.

Dimity Miller, Georgia Goode, Callum Bennie, Peyman Moghadam, Raja Jurdak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Canopy density estimation in perennial horticulture crops using 3D spinning lidar SLAM.

Thomas Lowe, Peyman Moghadam, Everard J. Edwards, Jason L. Williams

J. Field Robotics, 2021

Point Cloud Segmentation Using Sparse Temporal Local Attention.

Joshua Knights, Peyman Moghadam, Clinton Fookes, Sridha Sridharan

CoRR, 2021

The CSIRO Crown-of-Thorn Starfish Detection Dataset.

Jiajun Liu, Brano Kusy, Ross Marchant, Brendan Do, Torsten Merz, Joey Crosswell, Andy Steven, Nic Heaney, Karl von Richter, Lachlan Tychsen-Smith, David Ahmedt-Aristizabal, Mohammad Ali Armin, Geoffrey Carlin, Russ Babcock, Peyman Moghadam, Daniel Smith, Tim Davis, Kemal El Moujahid, Martin Wicke, Megha Malpani

CoRR, 2021

Dense Uncertainty Estimation.

Jing Zhang, Yuchao Dai, Mochu Xiang, Deng-Ping Fan, Peyman Moghadam, Mingyi He, Christian Walder, Kaihao Zhang, Mehrtash Harandi, Nick Barnes

CoRR, 2021

DeepSeagrass Dataset.

Scarlett Raine, Ross Marchant, Peyman Moghadam, Frédéric Maire, Brett Kettle, Brano Kusy

CoRR, 2021

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

Kavisha Vidanapathirana, Peyman Moghadam, Ben Harwood, Muming Zhao, Sridha Sridharan, Clinton Fookes

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Reduction of Feature Contamination for Hyper Spectral Image Classification.

Sutharsan Mahendren, Tharindu Fernando, Sridha Sridharan, Peyman Moghadam, Clinton Fookes

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020

Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach.

Chanoh Park, Peyman Moghadam, Soohwan Kim, Sridha Sridharan, Clinton Fookes

IEEE Robotics Autom. Lett., 2020

Scalable learning for bridging the species gap in image-based plant phenotyping.

Daniel Ward, Peyman Moghadam

Comput. Vis. Image Underst., 2020

Temporally Coherent Embeddings for Self-Supervised Video Representation Learning.

Joshua Knights, Anthony Vanderkop, Daniel Ward, Olivia Mackenzie-Ross, Peyman Moghadam

CoRR, 2020

Temporally Coherent Embeddings for Self-Supervised Video Representation Learning.

Joshua Knights, Ben Harwood, Daniel Ward, Anthony Vanderkop, Olivia Mackenzie-Ross, Peyman Moghadam

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multi-species Seagrass Detection and Classification from Underwater Images.

Scarlett Raine, Ross Marchant, Peyman Moghadam, Frédéric Maire, Brett Kettle, Brano Kusy

Proceedings of the Digital Image Computing: Techniques and Applications, 2020

2019

Robust Photogeometric Localization Over Time for Map-Centric Loop Closure.

Chanoh Park, Soohwan Kim, Peyman Moghadam, Jiadong Guo, Sridha Sridharan, Clinton Fookes

IEEE Robotics Autom. Lett., 2019

Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction.

Shafeeq Elanattil, Peyman Moghadam

CoRR, 2019

2018

Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM.

Chanoh Park, Peyman Moghadam, Soohwan Kim, Alberto Elfes, Clinton Fookes, Sridha Sridharan

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Non-rigid Reconstruction with a Single Moving RGB-D Camera.

Shafeeq Elanattil, Peyman Moghadam, Sridha Sridharan, Clinton Fookes, Mark Cox

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Skeleton Driven Non-Rigid Motion Tracking and 3D Reconstruction.

Shafeeq Elanattil, Peyman Moghadam, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Deep Leaf Segmentation Using Synthetic Data.

Daniel Ward, Peyman Moghadam, Nicolas Hudson

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Probabilistic Surfel Fusion for Dense LiDAR Mapping.

Chanoh Park, Soohwan Kim, Peyman Moghadam, Clinton Fookes, Sridha Sridharan

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Plant Disease Detection Using Hyperspectral Imaging.

Peyman Moghadam, Daniel Ward, Ethan Goan, Srimal Jayawardena, Pavan Sikka, Emili Hernández

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016

SAGE: Semantic Annotation of Georeferenced Environments.

Peyman Moghadam, Benjamin Evans, Elliot Duff

J. Intell. Robotic Syst., 2016

2015

Energetics-informed hexapod gait transitions across terrains.

Navinda Kottege, Callum Parkinson, Peyman Moghadam, Alberto Elfes, Surya P. N. Singh

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Real-Time Stabilisation for Hexapod Robots.

Marcus Hörger, Navinda Kottege, Tirthankar Bandyopadhyay, Alberto Elfes, Peyman Moghadam

Proceedings of the Experimental Robotics, 2014

Combining motion and appearance for scene segmentation.

Paulo Vinicius Koerich Borges, Peyman Moghadam

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Multi-sensor Based Gestures Recognition with a Smart Finger Ring.

Mehran Roshandel, Aarti Munjal, Peyman Moghadam, Shahin Tajik, Hamed Ketabdar

Proceedings of the Human-Computer Interaction. Advanced Interaction Modalities and Techniques, 2014

Multi-sensor Finger Ring for Authentication Based on 3D Signatures.

Mehran Roshandel, Aarti Munjal, Peyman Moghadam, Shahin Tajik, Hamed Ketabdar

Proceedings of the Human-Computer Interaction. Advanced Interaction Modalities and Techniques, 2014

2013

3D thermal mapping of building interiors using an RGB-D and thermal camera.

Stephen Vidas, Peyman Moghadam, Michael Bosse

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Line-based extrinsic calibration of range and image sensors.

Peyman Moghadam, Michael Bosse, Robert Zlot

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Ad Hoc Radiometric Calibration of a Thermal-Infrared Camera.

Stephen Vidas, Peyman Moghadam

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

2012

Fast Vanishing-Point Detection in Unstructured Environments.

Peyman Moghadam, Janusz A. Starzyk, W. Sardha Wijesoma

IEEE Trans. Image Process., 2012

Magnetic signatures in air for mobile devices.

Hamed Ketabdar, Peyman Moghadam, Babak Naderi, Mehran Roshandel

Proceedings of the Mobile HCI '12, 2012

MagiGuitar: a guitar that is played in air!

Hamed Ketabdar, Hengwei Chang, Peyman Moghadam, Mehran Roshandel, Babak Naderi

Proceedings of the Mobile HCI '12, 2012

Road direction detection based on vanishing-point tracking.

Peyman Moghadam, Jun Feng Dong

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Pingu: A New Miniature Wearable Device for Ubiquitous Computing Environments.

Hamed Ketabdar, Peyman Moghadam, Mehran Roshandel

Proceedings of the Sixth International Conference on Complex, 2012

Assessing the vulnerability of magnetic gestural authentication to video-based shoulder surfing attacks.

Alireza Sahami Shirazi, Peyman Moghadam, Hamed Ketabdar, Albrecht Schmidt

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

2010

Collaborative multi-vehicle localization and mapping in high clutter environments.

M. D. P. Moratuwage, Wijerupage Sardha Wijesoma, Bharath Kalyan, Nicholas M. Patrikalakis, Peyman Moghadam

Proceedings of the 11th International Conference on Control, 2010

Towards a fully-autonomous vision-based vehicle navigation system in outdoor environments.

Peyman Moghadam, Wijerupage Sardha Wijesoma, M. D. P. Moratuwage

Proceedings of the 11th International Conference on Control, 2010

2009

Online, Self-Supervised Vision-Based Terrain Classification in Unstructured Environments.

Peyman Moghadam, Wijerupage Sardha Wijesoma

Proceedings of the IEEE International Conference on Systems, 2009

2008

Improving path planning and mapping based on stereo vision and lidar.

Peyman Moghadam, Wijerupage Sardha Wijesoma, Dong Jun Feng

Proceedings of the 10th International Conference on Control, 2008