Improving path planning and mapping based on stereo vision and lidar. - Peyman Moghadam; Wijerupage Sardha Wijesoma; Dong Jun Feng (ICARCV, 2008)

Online, Self-Supervised Vision-Based Terrain Classification in Unstructured Environments. - Peyman Moghadam; Wijerupage Sardha Wijesoma (SMC, 2009)

Towards a fully-autonomous vision-based vehicle navigation system in outdoor environments. - Peyman Moghadam; Wijerupage Sardha Wijesoma; M. D. P. Moratuwage (ICARCV, 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 (ICARCV, 2010)

Assessing the vulnerability of magnetic gestural authentication to video-based shoulder surfing attacks. - Alireza Sahami Shirazi; Peyman Moghadam; Hamed Ketabdar; Albrecht Schmidt 001 (CHI, 2012)

Pingu: A New Miniature Wearable Device for Ubiquitous Computing Environments. - Hamed Ketabdar; Peyman Moghadam; Mehran Roshandel (CISIS, 2012)

Road direction detection based on vanishing-point tracking. - Peyman Moghadam; Jun Feng Dong (IROS, 2012)

MagiGuitar: a guitar that is played in air! - Hamed Ketabdar; Hengwei Chang; Peyman Moghadam; Mehran Roshandel; Babak Naderi (Mobile HCI (Companion), 2012)

Magnetic signatures in air for mobile devices. - Hamed Ketabdar; Peyman Moghadam; Babak Naderi; Mehran Roshandel (Mobile HCI (Companion), 2012)

Fast Vanishing-Point Detection in Unstructured Environments. - Peyman Moghadam; Janusz A. Starzyk; W. Sardha Wijesoma (IEEE Trans. Image Process., 2012)

Ad Hoc Radiometric Calibration of a Thermal-Infrared Camera. - Stephen Vidas; Peyman Moghadam (DICTA, 2013)

Line-based extrinsic calibration of range and image sensors. - Peyman Moghadam; Michael Bosse; Robert Zlot (ICRA, 2013)

3D thermal mapping of building interiors using an RGB-D and thermal camera. - Stephen Vidas; Peyman Moghadam; Michael Bosse (ICRA, 2013)

Multi-sensor Finger Ring for Authentication Based on 3D Signatures. - Mehran Roshandel; Aarti Munjal; Peyman Moghadam; Shahin Tajik; Hamed Ketabdar (HCI (2), 2014)

Multi-sensor Based Gestures Recognition with a Smart Finger Ring. - Mehran Roshandel; Aarti Munjal; Peyman Moghadam; Shahin Tajik; Hamed Ketabdar (HCI (2), 2014)

Combining motion and appearance for scene segmentation. - Paulo Vinicius Koerich Borges; Peyman Moghadam (ICRA, 2014)

Real-Time Stabilisation for Hexapod Robots. - Marcus Hörger; Navinda Kottege; Tirthankar Bandyopadhyay; Alberto Elfes; Peyman Moghadam (ISER, 2014)

Energetics-informed hexapod gait transitions across terrains. - Navinda Kottege; Callum Parkinson; Peyman Moghadam; Alberto Elfes; Surya P. N. Singh (ICRA, 2015)

SAGE: Semantic Annotation of Georeferenced Environments. - Peyman Moghadam; Benjamin Evans; Elliot Duff (J. Intell. Robotic Syst., 2016)

Plant Disease Detection Using Hyperspectral Imaging. - Peyman Moghadam; Daniel Ward; Ethan Goan; Srimal Jayawardena; Pavan Sikka; Emili Hernández (DICTA, 2017)

Probabilistic Surfel Fusion for Dense LiDAR Mapping. - Chanoh Park; Soohwan Kim; Peyman Moghadam; Clinton Fookes; Sridha Sridharan (ICCV Workshops, 2017)

Deep Leaf Segmentation Using Synthetic Data. - Daniel Ward; Peyman Moghadam; Nicolas Hudson (BMVC, 2018)

Skeleton Driven Non-Rigid Motion Tracking and 3D Reconstruction. - Shafeeq Elanattil; Peyman Moghadam; Simon Denman; Sridha Sridharan; Clinton Fookes (DICTA, 2018)

Non-rigid Reconstruction with a Single Moving RGB-D Camera. - Shafeeq Elanattil; Peyman Moghadam; Sridha Sridharan; Clinton Fookes; Mark Cox (ICPR, 2018)

Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM. - Chanoh Park; Peyman Moghadam; Soohwan Kim; Alberto Elfes; Clinton Fookes; Sridha Sridharan (ICRA, 2018)

Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction. - Shafeeq Elanattil; Peyman Moghadam (CoRR, 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)

Multi-species Seagrass Detection and Classification from Underwater Images. - Scarlett Raine; Ross Marchant; Peyman Moghadam; Frédéric Maire; Brett Kettle; Brano Kusy (DICTA, 2020)

Temporally Coherent Embeddings for Self-Supervised Video Representation Learning. - Joshua Knights; Ben Harwood; Daniel Ward; Anthony Vanderkop; Olivia Mackenzie-Ross; Peyman Moghadam (ICPR, 2020)

Temporally Coherent Embeddings for Self-Supervised Video Representation Learning. - Joshua Knights; Anthony Vanderkop; Daniel Ward; Olivia Mackenzie-Ross; Peyman Moghadam (CoRR, 2020)

Scalable learning for bridging the species gap in image-based plant phenotyping. - Daniel Ward; Peyman Moghadam (Comput. Vis. Image Underst., 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)

Reduction of Feature Contamination for Hyper Spectral Image Classification. - Sutharsan Mahendren; Tharindu Fernando; Sridha Sridharan; Peyman Moghadam; Clinton Fookes (DICTA, 2021)

Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling. - Kavisha Vidanapathirana; Peyman Moghadam; Ben Harwood; Muming Zhao; Sridha Sridharan; Clinton Fookes (ICRA, 2021)

DeepSeagrass Dataset. - Scarlett Raine; Ross Marchant; Peyman Moghadam; Frédéric Maire; Brett Kettle; Brano Kusy (CoRR, 2021)

Dense Uncertainty Estimation. - Jing Zhang 052; Yuchao Dai; Mochu Xiang; Deng-Ping Fan; Peyman Moghadam; Mingyi He; Christian Walder; Kaihao Zhang; Mehrtash Harandi; Nick Barnes (CoRR, 2021)

The CSIRO Crown-of-Thorn Starfish Detection Dataset. - Jiajun Liu; Brano Kusy; Ross Marchant; Brendan Do; Torsten Merz; Joey Crosswell; Andy Steven 001; Nic Heaney; Karl von Richter; Lachlan Tychsen-Smith; David Ahmedt-Aristizabal; Mohammad Ali Armin; et al. (CoRR, 2021)

Point Cloud Segmentation Using Sparse Temporal Local Attention. - Joshua Knights; Peyman Moghadam; Clinton Fookes; Sridha Sridharan (CoRR, 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)

Why Object Detectors Fail: Investigating the Influence of the Dataset. - Dimity Miller; Georgia Goode; Callum Bennie; Peyman Moghadam; Raja Jurdak (CVPR Workshops, 2022)

LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. - Kavisha Vidanapathirana; Milad Ramezani; Peyman Moghadam; Sridha Sridharan; Clinton Fookes (ICRA, 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 (IGARSS, 2022)

InCloud: Incremental Learning for Point Cloud Place Recognition. - Joshua Knights; Peyman Moghadam; Milad Ramezani; Sridha Sridharan; Clinton Fookes (IROS, 2022)

A real-time edge-AI system for reef surveys. - Yang Li 184; Jiajun Liu; Brano Kusy; Ross Marchant; Brendan Do; Torsten Merz; Joey Crosswell; Andy Steven 001; Lachlan Tychsen-Smith; David Ahmedt-Aristizabal; Jeremy Oorloff; Peyman Moghadam; et al. (MobiCom, 2022)

Wildcat: Online Continuous-Time 3D Lidar-Inertial SLAM. - Milad Ramezani; Kasra Khosoussi; Gavin Catt; Peyman Moghadam; Jason Williams 002; Paulo Vinicius Koerich Borges; Fred Pauling; Navinda Kottege (CoRR, 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)

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)

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; et al. (Field Robotics, 2022)

Learning Partial Correlation based Deep Visual Representation for Image Classification. - Saimunur Rahman; Piotr Koniusz; Lei Wang 001; Luping Zhou; Peyman Moghadam; Changming Sun (CVPR, 2023)

Flashback for Continual Learning. - Leila Mahmoodi; Mehrtash Harandi; Peyman Moghadam (ICCV (Workshops), 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 (ICRA, 2023)

Uncertainty-Aware Lidar Place Recognition in Novel Environments. - Keita Mason; Joshua Knights; Milad Ramezani; Peyman Moghadam; Dimity Miller (IROS, 2023)

Deep Robust Multi-Robot Re-Localisation in Natural Environments. - Milad Ramezani; Ethan Griffiths; Maryam Haghighat; Alex Pitt; Peyman Moghadam (IROS, 2023)

L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space. - Kaushik Roy 008; Peyman Moghadam; Mehrtash Harandi (MICCAI (2), 2023)

Measuring Situational Awareness Latency in Human-Robot Teaming Experiments. - Hashini Senaratne; Alex Pitt; Fletcher Talbot; Peyman Moghadam; Pavan Sikka; David Howard 001; Jason Williams 002; Dana Kulic; Cécile Paris (RO-MAN, 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)

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)

FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training. - Shaheer Mohamed; Maryam Haghighat; Tharindu Fernando; Sridha Sridharan; Clinton Fookes; Peyman Moghadam (CoRR, 2023)

TULIP: Transformer for Upsampling of LiDAR Point Cloud. - Bin Yang; Patrick Pfreundschuh; Roland Siegwart; Marco Hutter 001; Peyman Moghadam; Vaishakh Patil (CoRR, 2023)

CL3: Generalization of Contrastive Loss for Lifelong Learning. - Kaushik Roy 008; Christian Simon; Peyman Moghadam; Mehrtash Harandi (J. Imaging, 2023)

Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization. - Kavisha Vidanapathirana; Peyman Moghadam; Sridha Sridharan; Clinton Fookes (IEEE Robotics Autom. Lett., 2023)

Subspace distillation for continual learning. - Kaushik Roy 008; Christian Simon; Peyman Moghadam; Mehrtash Harandi (Neural Networks, 2023)

Exploiting Field Dependencies for Learning on Categorical Data. - Zhibin Li 002; Piotr Koniusz; Lu Zhang 062; Daniel Edward Pagendam; Peyman Moghadam (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

TULIP: Transformer for Upsampling of LiDAR Point Clouds. - Bin Yang; Patrick Pfreundschuh; Roland Siegwart; Marco Hutter 001; Peyman Moghadam; Vaishakh Patil (CVPR, 2024)

Pre-training with Random Orthogonal Projection Image Modeling. - Maryam Haghighat; Peyman Moghadam; Shaheer Mohamed; Piotr Koniusz (ICLR, 2024)

Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields. - Stephen Hausler; David Hall 003; Sutharsan Mahendren; Peyman Moghadam (ICRA, 2024)

Spectral-Enhanced Transformers: Leveraging Large-Scale Pretrained Models for Hyperspectral Object Tracking. - Shaheer Mohamed; Tharindu Fernando; Sridha Sridharan; Peyman Moghadam; Clinton Fookes (WHISPERS, 2024)

Object Registration in Neural Fields. - David Hall 003; Stephen Hausler; Sutharsan Mahendren; Peyman Moghadam (CoRR, 2024)

Towards Long-term Robotics in the Wild. - Stephen Hausler; Ethan Griffiths; Milad Ramezani; Peyman Moghadam (CoRR, 2024)

SOLVR: Submap Oriented LiDAR-Visual Re-Localisation. - Joshua Knights; Sebastián Barbas Laina; Peyman Moghadam; Stefan Leutenegger (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)

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)

Learning Compact Channel Correlation Representation for LiDAR Place Recognition. - Saimunur Rahman; Peyman Moghadam (CoRR, 2024)

M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning. - Kaushik Roy 008; Akila Dissanayake; Brendan Tidd; Peyman Moghadam (CoRR, 2024)

Multivariate prototype representation for domain-generalized incremental learning. - Can Peng; Piotr Koniusz; Kaiyu Guo; Brian C. Lovell; Peyman Moghadam (Comput. Vis. Image Underst., 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)

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., 2024)

Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. - Milad Ramezani; Liang Wang; Joshua Knights; Zhibin Li 002; Pauline Pounds; Peyman Moghadam (IEEE Robotics Autom. Lett., 2024)

Uncertainty propagation in the internet of things. - Shantanu Pal; Sara Khalifa; Dimity Miller; Volkan Dedeoglu; Ali Dorri; Gowri Sankar Ramachandran; Peyman Moghadam; Brano Kusy; Raja Jurdak (Discov. Internet Things, 2024)

Inductive Graph Few-shot Class Incremental Learning. - Yayong Li; Peyman Moghadam; Can Peng; Nan Ye; Piotr Koniusz (WSDM, 2025)

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 (Int. J. Robotics Res., 2025)

Flashbacks to harmonize stability and plasticity in continual learning. - Leila Mahmoodi; Peyman Moghadam; Munawar Hayat; Christian Simon; Mehrtash Harandi (Neural Networks, 2025)

Spatioformer: A Geo-Encoded Transformer for Large-Scale Plant Species Richness Prediction. - Yiqing Guo; Karel Mokany; Shaun R. Levick; Jinyan Yang; Peyman Moghadam (IEEE Trans. Geosci. Remote. Sens., 2025)

Pair-VPR: Place-Aware Pre-Training and Contrastive Pair Classification for Visual Place Recognition With Vision Transformers. - Stephen Hausler; Peyman Moghadam (IEEE Robotics Autom. Lett., 2025)

Dual-Domain Masked Image Modeling: A Self-Supervised Pretraining Strategy Using Spatial and Frequency Domain Masking for Hyperspectral Data. - Shaheer Mohamed; Tharindu Fernando; Sridha Sridharan; Peyman Moghadam; Clinton Fookes (CoRR, 2025)