Peyman Moghadam

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 82

Top Venues

CoRR

ICRA

IEEE Robotics Autom. Lett.

DICTA

Publications

Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
FactoFormer: Factorized Hyperspectral Transformers With Self-Supervised Pretraining. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Stephen Hausler, David Hall, Sutharsan Mahendren, Peyman Moghadam
Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields. CoRR (2024)
David Hall, Stephen Hausler, Sutharsan Mahendren, Peyman Moghadam
Object Registration in Neural Fields. CoRR (2024)
Stephen Hausler, David Hall, Sutharsan Mahendren, Peyman Moghadam
Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields. ICRA (2024)
Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors. IEEE Robotics Autom. Lett. 9 (1) (2024)
Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. IEEE Robotics Autom. Lett. 9 (2) (2024)
Stephen Hausler, Ethan Griffiths, Milad Ramezani, Peyman Moghadam
Towards Long-term Robotics in the Wild. CoRR (2024)
Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz
Pre-training with Random Orthogonal Projection Image Modeling. ICLR (2024)
Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller
Uncertainty-Aware Lidar Place Recognition in Novel Environments. IROS (2023)
Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors. CoRR (2023)
Yiqing Guo, Karel Mokany, Cindy Ong, Peyman Moghadam, Simon Ferrier, Shaun R. Levick
Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models. CoRR (2023)
Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi
Subspace distillation for continual learning. Neural Networks 167 (2023)
Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun
Learning Partial Correlation based Deep Visual Representation for Image Classification. CoRR (2023)
Leila Mahmoodi, Mehrtash Harandi, Peyman Moghadam
Flashback for Continual Learning. ICCV (Workshops) (2023)
Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi
CL3: Generalization of Contrastive Loss for Lifelong Learning. J. Imaging 9 (12) (2023)
Milad Ramezani, Ethan Griffiths, Maryam Haghighat, Alex Pitt, Peyman Moghadam
Deep Robust Multi-Robot Re-Localisation in Natural Environments. IROS (2023)
Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil
TULIP: Transformer for Upsampling of LiDAR Point Cloud. CoRR (2023)
Kaushik Roy, Peyman Moghadam, Mehrtash Harandi
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space. CoRR (2023)
Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training. CoRR (2023)
Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. CoRR (2023)
Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam
Exploiting Field Dependencies for Learning on Categorical Data. CoRR (2023)
Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam
Multivariate Prototype Representation for Domain-Generalized Incremental Learning. CoRR (2023)
Hashini Senaratne, Alex Pitt, Fletcher Talbot, Peyman Moghadam, Pavan Sikka, David Howard, Jason L. Williams, Dana Kulic, Cécile Paris
Measuring Situational Awareness Latency in Human-Robot Teaming Experiments. RO-MAN (2023)
Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam
Exploiting Field Dependencies for Learning on Categorical Data. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun
Learning Partial Correlation based Deep Visual Representation for Image Classification. CVPR (2023)
Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz
Pre-training with Random Orthogonal Projection Image Modeling. CoRR (2023)
Kavisha Vidanapathirana, Peyman Moghadam, Sridha Sridharan, Clinton Fookes
Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization. IEEE Robotics Autom. Lett. 8 (5) (2023)
Joshua Knights, Kavisha Vidanapathirana, Milad Ramezani, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments. ICRA (2023)
Milad Ramezani, Ethan Griffiths, Maryam Haghighat, Alex Pitt, Peyman Moghadam
Deep Robust Multi-Robot Re-localisation in Natural Environments. CoRR (2023)
Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi
Subspace Distillation for Continual Learning. CoRR (2023)
Kavisha Vidanapathirana, Joshua Knights, Stephen Hausler, Mark Cox, Milad Ramezani, Jason Jooste, Ethan Griffiths, Shaheer Mohamed, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments. CoRR (2023)
Kaushik Roy, Peyman Moghadam, Mehrtash Harandi
L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space. MICCAI (2) (2023)
Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller
Uncertainty-Aware Lidar Place Recognition in Novel Environments. CoRR (2022)
Kavisha Vidanapathirana, Peyman Moghadam, Sridha Sridharan, Clinton Fookes
Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization. CoRR (2022)
Yiqing Guo, Karel Mokany, Cindy Ong, Peyman Moghadam, Simon Ferrier, Shaun R. Levick
Quantitative Assessment of DESIS Hyperspectral Data for Plant Biodiversity Estimation in Australia. IGARSS (2022)
Milad Ramezani, Kasra Khosoussi, Gavin Catt, Peyman Moghadam, Jason Williams, Paulo Vinicius Koerich Borges, Fred Pauling, Navinda Kottege
Wildcat: Online Continuous-Time 3D Lidar-Inertial SLAM. CoRR (2022)
Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes
InCloud: Incremental Learning for Point Cloud Place Recognition. CoRR (2022)
Dimity Miller, Peyman Moghadam, Mark Cox, Matt Wildie, Raja Jurdak
What's in the Black Box? The False Negative Mechanisms Inside Object Detectors. CoRR (2022)
Dimity Miller, Georgia Goode, Callum Bennie, Peyman Moghadam, Raja Jurdak
Why Object Detectors Fail: Investigating the Influence of the Dataset. CVPR Workshops (2022)
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
A Real-time Edge-AI System for Reef Surveys. CoRR (2022)
Yiqing Guo, Karel Mokany, Cindy Ong, Peyman Moghadam, Simon Ferrier, Shaun R. Levick
Quantitative Assessment of DESIS Hyperspectral Data for Plant Biodiversity Estimation in Australia. CoRR (2022)
Chanoh Park, Peyman Moghadam, Jason L. Williams, Soohwan Kim, Sridha Sridharan, Clinton Fookes
Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM. IEEE Trans. Robotics 38 (2) (2022)
Joshua Knights, Kavisha Vidanapathirana, Milad Ramezani, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments. CoRR (2022)
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
A real-time edge-AI system for reef surveys. MobiCom (2022)
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
A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges. Field Robotics 2 (1) (2022)
Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes
InCloud: Incremental Learning for Point Cloud Place Recognition. IROS (2022)
Kavisha Vidanapathirana, Milad Ramezani, Peyman Moghadam, Sridha Sridharan, Clinton Fookes
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. ICRA (2022)
Dimity Miller, Peyman Moghadam, Mark Cox, Matt Wildie, Raja Jurdak
What's in the Black Box? The False Negative Mechanisms Inside Object Detectors. IEEE Robotics Autom. Lett. 7 (3) (2022)
Sutharsan Mahendren, Tharindu Fernando, Sridha Sridharan, Peyman Moghadam, Clinton Fookes
Reduction of Feature Contamination for Hyper Spectral Image Classification. DICTA (2021)
Jing Zhang, Yuchao Dai, Mochu Xiang, Deng-Ping Fan, Peyman Moghadam, Mingyi He, Christian Walder, Kaihao Zhang, Mehrtash Harandi, Nick Barnes
Dense Uncertainty Estimation. CoRR (2021)
Kavisha Vidanapathirana, Peyman Moghadam, Ben Harwood, Muming Zhao, Sridha Sridharan, Clinton Fookes
Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling. ICRA (2021)
Thomas Lowe, Peyman Moghadam, Everard J. Edwards, Jason L. Williams
Canopy density estimation in perennial horticulture crops using 3D spinning lidar SLAM. J. Field Robotics 38 (4) (2021)
Scarlett Raine, Ross Marchant, Peyman Moghadam, Frédéric Maire, Brett Kettle, Brano Kusy
DeepSeagrass Dataset. CoRR (2021)
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
The CSIRO Crown-of-Thorn Starfish Detection Dataset. CoRR (2021)
Kavisha Vidanapathirana, Milad Ramezani, Peyman Moghadam, Sridha Sridharan, Clinton Fookes
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. CoRR (2021)
Joshua Knights, Peyman Moghadam, Clinton Fookes, Sridha Sridharan
Point Cloud Segmentation Using Sparse Temporal Local Attention. CoRR (2021)
Joshua Knights, Ben Harwood, Daniel Ward, Anthony Vanderkop, Olivia Mackenzie-Ross, Peyman Moghadam
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning. ICPR (2020)
Chanoh Park, Peyman Moghadam, Soohwan Kim, Sridha Sridharan, Clinton Fookes
Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach. IEEE Robotics Autom. Lett. 5 (2) (2020)
Daniel Ward, Peyman Moghadam
Scalable learning for bridging the species gap in image-based plant phenotyping. CoRR (2020)
Scarlett Raine, Ross Marchant, Peyman Moghadam, Frédéric Maire, Brett Kettle, Brano Kusy
Multi-species Seagrass Detection and Classification from Underwater Images. DICTA (2020)
Chanoh Park, Peyman Moghadam, Soohwan Kim, Sridha Sridharan, Clinton Fookes
Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach. CoRR (2020)
Chanoh Park, Peyman Moghadam, Jason L. Williams, Soohwan Kim, Sridha Sridharan, Clinton Fookes
Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM. CoRR (2020)
Kavisha Vidanapathirana, Peyman Moghadam, Ben Harwood, Muming Zhao, Sridha Sridharan, Clinton Fookes
Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling. CoRR (2020)
Scarlett Raine, Ross Marchant, Peyman Moghadam, Frédéric Maire, Brett Kettle, Brano Kusy
Multi-species Seagrass Detection and Classification from Underwater Images. CoRR (2020)
Daniel Ward, Peyman Moghadam
Scalable learning for bridging the species gap in image-based plant phenotyping. Comput. Vis. Image Underst. (2020)
Thomas Lowe, Peyman Moghadam, Everard J. Edwards, Jason L. Williams
Canopy Density Estimation in Perennial Horticulture Crops Using 3D Spinning LiDAR SLAM. CoRR (2020)
Joshua Knights, Anthony Vanderkop, Daniel Ward, Olivia Mackenzie-Ross, Peyman Moghadam
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning. CoRR (2020)
Chanoh Park, Soohwan Kim, Peyman Moghadam, Jiadong Guo, Sridha Sridharan, Clinton Fookes
Robust Photogeometric Localization Over Time for Map-Centric Loop Closure. IEEE Robotics Autom. Lett. 4 (2) (2019)
Shafeeq Elanattil, Peyman Moghadam
Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction. CoRR (2019)
Chanoh Park, Soohwan Kim, Peyman Moghadam, Jiadong Guo, Sridha Sridharan, Clinton Fookes
Robust Photogeometric Localization over Time for Map-Centric Loop Closure. CoRR (2019)
Daniel Ward, Peyman Moghadam, Nicolas Hudson
Deep Leaf Segmentation Using Synthetic Data. BMVC (2018)
Shafeeq Elanattil, Peyman Moghadam, Sridha Sridharan, Clinton Fookes, Mark Cox
Non-rigid Reconstruction with a Single Moving RGB-D Camera. ICPR (2018)
Shafeeq Elanattil, Peyman Moghadam, Simon Denman, Sridha Sridharan, Clinton Fookes
Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction. CoRR (2018)
Shafeeq Elanattil, Peyman Moghadam, Simon Denman, Sridha Sridharan, Clinton Fookes
Skeleton Driven Non-Rigid Motion Tracking and 3D Reconstruction. DICTA (2018)
Daniel Ward, Peyman Moghadam, Nicolas Hudson
Deep Leaf Segmentation Using Synthetic Data. CoRR (2018)
Shafeeq Elanattil, Peyman Moghadam, Sridha Sridharan, Clinton Fookes, Mark Cox
Non-rigid Reconstruction with a Single Moving RGB-D Camera. CoRR (2018)
Chanoh Park, Peyman Moghadam, Soohwan Kim, Alberto Elfes, Clinton Fookes, Sridha Sridharan
Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM. ICRA (2018)
Chanoh Park, Peyman Moghadam, Soohwan Kim, Alberto Elfes, Clinton Fookes, Sridha Sridharan
Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM. CoRR (2017)
Chanoh Park, Soohwan Kim, Peyman Moghadam, Clinton Fookes, Sridha Sridharan
Probabilistic Surfel Fusion for Dense LiDAR Mapping. ICCV Workshops (2017)
Peyman Moghadam, Daniel Ward, Ethan Goan, Srimal Jayawardena, Pavan Sikka, Emili Hernández
Plant Disease Detection Using Hyperspectral Imaging. DICTA (2017)
Chanoh Park, Soohwan Kim, Peyman Moghadam, Clinton Fookes, Sridha Sridharan
Probabilistic Surfel Fusion for Dense LiDAR Mapping. CoRR (2017)
Peyman Moghadam, Benjamin Evans, Elliot Duff
SAGE: Semantic Annotation of Georeferenced Environments. J. Intell. Robotic Syst. 83 (3-4) (2016)
Navinda Kottege, Callum Parkinson, Peyman Moghadam, Alberto Elfes, Surya P. N. Singh
Energetics-informed hexapod gait transitions across terrains. ICRA (2015)
Paulo Vinicius Koerich Borges, Peyman Moghadam
Combining motion and appearance for scene segmentation. ICRA (2014)
Mehran Roshandel, Aarti Munjal, Peyman Moghadam, Shahin Tajik, Hamed Ketabdar
Multi-sensor Finger Ring for Authentication Based on 3D Signatures. HCI (2) (2014)
Marcus Hörger, Navinda Kottege, Tirthankar Bandyopadhyay, Alberto Elfes, Peyman Moghadam
Real-Time Stabilisation for Hexapod Robots. ISER (2014)
Mehran Roshandel, Aarti Munjal, Peyman Moghadam, Shahin Tajik, Hamed Ketabdar
Multi-sensor Based Gestures Recognition with a Smart Finger Ring. HCI (2) (2014)
Peyman Moghadam, Michael Bosse, Robert Zlot
Line-based extrinsic calibration of range and image sensors. ICRA (2013)
Stephen Vidas, Peyman Moghadam
Ad Hoc Radiometric Calibration of a Thermal-Infrared Camera. DICTA (2013)
Stephen Vidas, Peyman Moghadam, Michael Bosse
3D thermal mapping of building interiors using an RGB-D and thermal camera. ICRA (2013)
Hamed Ketabdar, Peyman Moghadam, Mehran Roshandel
Pingu: A New Miniature Wearable Device for Ubiquitous Computing Environments. CISIS (2012)
Peyman Moghadam, Jun Feng Dong
Road direction detection based on vanishing-point tracking. IROS (2012)
Hamed Ketabdar, Peyman Moghadam, Babak Naderi, Mehran Roshandel
Magnetic signatures in air for mobile devices. Mobile HCI (Companion) (2012)
Alireza Sahami Shirazi, Peyman Moghadam, Hamed Ketabdar, Albrecht Schmidt
Assessing the vulnerability of magnetic gestural authentication to video-based shoulder surfing attacks. CHI (2012)
Hamed Ketabdar, Hengwei Chang, Peyman Moghadam, Mehran Roshandel, Babak Naderi
MagiGuitar: a guitar that is played in air! Mobile HCI (Companion) (2012)
Peyman Moghadam, Janusz A. Starzyk, W. Sardha Wijesoma
Fast Vanishing-Point Detection in Unstructured Environments. IEEE Trans. Image Process. 21 (1) (2012)
Peyman Moghadam, Wijerupage Sardha Wijesoma, M. D. P. Moratuwage
Towards a fully-autonomous vision-based vehicle navigation system in outdoor environments. ICARCV (2010)
M. D. P. Moratuwage, Wijerupage Sardha Wijesoma, Bharath Kalyan, Nicholas M. Patrikalakis, Peyman Moghadam
Collaborative multi-vehicle localization and mapping in high clutter environments. ICARCV (2010)
Peyman Moghadam, Wijerupage Sardha Wijesoma
Online, Self-Supervised Vision-Based Terrain Classification in Unstructured Environments. SMC (2009)
Peyman Moghadam, Wijerupage Sardha Wijesoma, Dong Jun Feng
Improving path planning and mapping based on stereo vision and lidar. ICARCV (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Peyman Moghadam