Peyman Moghadam

129 papers A* 17A 6B 4C 4Misc 6Journal 82Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SPREAD: Subspace Representation Distillation for Lifelong Imitation Learning. CoRR Kaushik Roy, Giovanni D'Urso, Nicholas Lawrance, Brendan Tidd, Peyman Moghadam
2026	J	`jnl`	WildCross: A Cross-Modal Large Scale Benchmark for Place Recognition and Metric Depth Estimation in Natural Environments. CoRR Joshua Knights, Joseph Reid, Kaushik Roy, David Hall, Mark Cox, Peyman Moghadam
2025	J	`jnl`	Always Skip Attention. CoRR Yiping Ji, Hemanth Saratchandran, Peyman Moghadam, Simon Lucey
2025	J	`jnl`	Cutting the Skip: Training Residual-Free Transformers. CoRR Yiping Ji, James Martens, Jianqiao Zheng, Ziqin Zhou, Peyman Moghadam, Xinyu Zhang, Hemanth Saratchandran, Simon Lucey
2025	J	`jnl`	DUAL3D-Fed: Dual Distillation for 3D Continual Federated Learning With Vision-Language Models. IEEE Access Kaushik Roy, Mehrtash Harandi, Peyman Moghadam
2025	J	`jnl`	Dual-Domain Masked Image Modeling: A Self-Supervised Pretraining Strategy Using Spatial and Frequency Domain Masking for Hyperspectral Data. CoRR Shaheer Mohamed, Tharindu Fernando, Sridha Sridharan, Peyman Moghadam, Clinton Fookes
2025	J	`jnl`	Flashbacks to Harmonize Stability and Plasticity in Continual Learning. CoRR Leila Mahmoodi, Peyman Moghadam, Munawar Hayat, Christian Simon, Mehrtash Harandi
2025	J	`jnl`	Flashbacks to harmonize stability and plasticity in continual learning. Neural Networks Leila Mahmoodi, Peyman Moghadam, Munawar Hayat, Christian Simon, Mehrtash Harandi
2025	A	`conf`	Inductive Graph Few-shot Class Incremental Learning. WSDM Yayong Li, Peyman Moghadam, Can Peng, Nan Ye, Piotr Koniusz
2025	A*	`conf`	M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning. ICRA Kaushik Roy, Akila Dissanayakc, Brendan Tidd, Peyman Moghadam
2025	J	`jnl`	Pair-VPR: Place-Aware Pre-Training and Contrastive Pair Classification for Visual Place Recognition With Vision Transformers. IEEE Robotics Autom. Lett. Stephen Hausler, Peyman Moghadam
2025	J	`jnl`	Point-PNG: Conditional Pseudo-Negatives Generation for Point Cloud Pre-Training. IEEE Access Sutharsan Mahendren, Saimunur Rahman, Piotr Koniusz, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2025	A*	`conf`	SOLVR: Submap Oriented LiDAR-Visual Re-Localisation. ICRA Joshua Knights, Sebastián Barbas Laina, Peyman Moghadam, Stefan Leutenegger
2025	A*	`conf`	Shape-Space Deformer: Unified Visuo-Tactile Representations for Robotic Manipulation of Deformable Objects. ICRA Sean M. V. Collins, Brendan Tidd, Mahsa Baktashmotlagh, Peyman Moghadam
2025	J	`jnl`	Spatioformer: A Geo-Encoded Transformer for Large-Scale Plant Species Richness Prediction. IEEE Trans. Geosci. Remote. Sens. Yiqing Guo, Karel Mokany, Shaun R. Levick, Jinyan Yang, Peyman Moghadam
2025	J	`jnl`	Spectral-Enhanced Transformers: Leveraging Large-Scale Pretrained Models for Hyperspectral Object Tracking. CoRR Shaheer Mohamed, Tharindu Fernando, Sridha Sridharan, Peyman Moghadam, Clinton Fookes
2025	J	`jnl`	WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments. Int. J. Robotics Res. Kavisha Vidanapathirana, Joshua Knights, Stephen Hausler, Mark Cox, Milad Ramezani, Jason Jooste, Ethan Griffiths, Shaheer Mohamed, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2024	J	`jnl`	FactoFormer: Factorized Hyperspectral Transformers With Self-Supervised Pretraining. IEEE Trans. Geosci. Remote. Sens. Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2024	J	`jnl`	GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors. IEEE Robotics Autom. Lett. Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2024	J	`jnl`	Inductive Graph Few-shot Class Incremental Learning. CoRR Yayong Li, Peyman Moghadam, Can Peng, Nan Ye, Piotr Koniusz
2024	J	`jnl`	Learning Compact Channel Correlation Representation for LiDAR Place Recognition. CoRR Saimunur Rahman, Peyman Moghadam
2024	J	`jnl`	M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning. CoRR Kaushik Roy, Akila Dissanayake, Brendan Tidd, Peyman Moghadam
2024	J	`jnl`	Multivariate prototype representation for domain-generalized incremental learning. Comput. Vis. Image Underst. Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam
2024	J	`jnl`	Object Registration in Neural Fields. CoRR David Hall, Stephen Hausler, Sutharsan Mahendren, Peyman Moghadam
2024	J	`jnl`	Pair-VPR: Place-Aware Pre-training and Contrastive Pair Classification for Visual Place Recognition with Vision Transformers. CoRR Stephen Hausler, Peyman Moghadam
2024	J	`jnl`	Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. IEEE Robotics Autom. Lett. Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam
2024	A*	`conf`	Pre-training with Random Orthogonal Projection Image Modeling. ICLR Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz
2024	J	`jnl`	PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings. CoRR Sutharsan Mahendren, Saimunur Rahman, Piotr Koniusz, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2024	A*	`conf`	Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields. ICRA Stephen Hausler, David Hall, Sutharsan Mahendren, Peyman Moghadam
2024	J	`jnl`	Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields. CoRR Stephen Hausler, David Hall, Sutharsan Mahendren, Peyman Moghadam
2024	J	`jnl`	SOLVR: Submap Oriented LiDAR-Visual Re-Localisation. CoRR Joshua Knights, Sebastián Barbas Laina, Peyman Moghadam, Stefan Leutenegger
2024	J	`jnl`	Shape-Space Deformer: Unified Visuo-Tactile Representations for Robotic Manipulation of Deformable Objects. CoRR Sean M. V. Collins, Brendan Tidd, Mahsa Baktashmotlagh, Peyman Moghadam
2024	J	`jnl`	Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction. CoRR Yiqing Guo, Karel Mokany, Shaun R. Levick, Jinyan Yang, Peyman Moghadam
2024	—	`conf`	Spectral-Enhanced Transformers: Leveraging Large-Scale Pretrained Models for Hyperspectral Object Tracking. WHISPERS Shaheer Mohamed, Tharindu Fernando, Sridha Sridharan, Peyman Moghadam, Clinton Fookes
2024	A*	`conf`	TULIP: Transformer for Upsampling of LiDAR Point Clouds. CVPR Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil
2024	J	`jnl`	Towards Long-term Robotics in the Wild. CoRR Stephen Hausler, Ethan Griffiths, Milad Ramezani, Peyman Moghadam
2024	J	`jnl`	Uncertainty propagation in the internet of things. Discov. Internet Things Shantanu Pal, Sara Khalifa, Dimity Miller, Volkan Dedeoglu, Ali Dorri, Gowri Sankar Ramachandran, Peyman Moghadam, Brano Kusy, Raja Jurdak
2023	J	`jnl`	CL3: Generalization of Contrastive Loss for Lifelong Learning. J. Imaging Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi
2023	A	`conf`	Deep Robust Multi-Robot Re-Localisation in Natural Environments. IROS Milad Ramezani, Ethan Griffiths, Maryam Haghighat, Alex Pitt, Peyman Moghadam
2023	J	`jnl`	Deep Robust Multi-Robot Re-localisation in Natural Environments. CoRR Milad Ramezani, Ethan Griffiths, Maryam Haghighat, Alex Pitt, Peyman Moghadam
2023	J	`jnl`	Exploiting Field Dependencies for Learning on Categorical Data. CoRR Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam
2023	J	`jnl`	Exploiting Field Dependencies for Learning on Categorical Data. IEEE Trans. Pattern Anal. Mach. Intell. Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam
2023	J	`jnl`	FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training. CoRR Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2023	—	`conf`	Flashback for Continual Learning. ICCV (Workshops) Leila Mahmoodi, Mehrtash Harandi, Peyman Moghadam
2023	J	`jnl`	GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors. CoRR Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2023	—	`conf`	L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space. MICCAI (2) Kaushik Roy, Peyman Moghadam, Mehrtash Harandi
2023	J	`jnl`	L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space. CoRR Kaushik Roy, Peyman Moghadam, Mehrtash Harandi
2023	A*	`conf`	Learning Partial Correlation based Deep Visual Representation for Image Classification. CVPR Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun
2023	J	`jnl`	Learning Partial Correlation based Deep Visual Representation for Image Classification. CoRR Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun
2023	B	`conf`	Measuring Situational Awareness Latency in Human-Robot Teaming Experiments. RO-MAN Hashini Senaratne, Alex Pitt, Fletcher Talbot, Peyman Moghadam, Pavan Sikka, David Howard, Jason Williams, Dana Kulic, Cécile Paris
2023	J	`jnl`	Multivariate Prototype Representation for Domain-Generalized Incremental Learning. CoRR Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam
2023	J	`jnl`	Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models. CoRR Yiqing Guo, Karel Mokany, Cindy Ong, Peyman Moghadam, Simon Ferrier, Shaun R. Levick
2023	J	`jnl`	Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. CoRR Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam
2023	J	`jnl`	Pre-training with Random Orthogonal Projection Image Modeling. CoRR Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz
2023	J	`jnl`	Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization. IEEE Robotics Autom. Lett. Kavisha Vidanapathirana, Peyman Moghadam, Sridha Sridharan, Clinton Fookes
2023	J	`jnl`	Subspace Distillation for Continual Learning. CoRR Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi
2023	J	`jnl`	Subspace distillation for continual learning. Neural Networks Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi
2023	J	`jnl`	TULIP: Transformer for Upsampling of LiDAR Point Cloud. CoRR Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil
2023	A	`conf`	Uncertainty-Aware Lidar Place Recognition in Novel Environments. IROS Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller
2023	A*	`conf`	Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments. ICRA Joshua Knights, Kavisha Vidanapathirana, Milad Ramezani, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2023	J	`jnl`	WildScenes: A Benchmark for 2D and 3D Semantic Segmentation in Large-scale Natural Environments. CoRR Kavisha Vidanapathirana, Joshua Knights, Stephen Hausler, Mark Cox, Milad Ramezani, Jason Jooste, Ethan Griffiths, Shaheer Mohamed, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2022	J	`jnl`	A Real-time Edge-AI System for Reef Surveys. CoRR 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
2022	J	`jnl`	A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges. Field Robotics 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
2022	A*	`conf`	A real-time edge-AI system for reef surveys. MobiCom 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
2022	J	`jnl`	Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM. IEEE Trans. Robotics Chanoh Park, Peyman Moghadam, Jason L. Williams, Soohwan Kim, Sridha Sridharan, Clinton Fookes
2022	A	`conf`	InCloud: Incremental Learning for Point Cloud Place Recognition. IROS Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes
2022	J	`jnl`	InCloud: Incremental Learning for Point Cloud Place Recognition. CoRR Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes
2022	A*	`conf`	LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. ICRA Kavisha Vidanapathirana, Milad Ramezani, Peyman Moghadam, Sridha Sridharan, Clinton Fookes
2022	C	`conf`	Quantitative Assessment of DESIS Hyperspectral Data for Plant Biodiversity Estimation in Australia. IGARSS Yiqing Guo, Karel Mokany, Cindy Ong, Peyman Moghadam, Simon Ferrier, Shaun R. Levick
2022	J	`jnl`	Quantitative Assessment of DESIS Hyperspectral Data for Plant Biodiversity Estimation in Australia. CoRR Yiqing Guo, Karel Mokany, Cindy Ong, Peyman Moghadam, Simon Ferrier, Shaun R. Levick
2022	J	`jnl`	Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization. CoRR Kavisha Vidanapathirana, Peyman Moghadam, Sridha Sridharan, Clinton Fookes
2022	J	`jnl`	Uncertainty-Aware Lidar Place Recognition in Novel Environments. CoRR Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller
2022	J	`jnl`	What's in the Black Box? The False Negative Mechanisms Inside Object Detectors. CoRR Dimity Miller, Peyman Moghadam, Mark Cox, Matt Wildie, Raja Jurdak
2022	J	`jnl`	What's in the Black Box? The False Negative Mechanisms Inside Object Detectors. IEEE Robotics Autom. Lett. Dimity Miller, Peyman Moghadam, Mark Cox, Matt Wildie, Raja Jurdak
2022	—	`conf`	Why Object Detectors Fail: Investigating the Influence of the Dataset. CVPR Workshops Dimity Miller, Georgia Goode, Callum Bennie, Peyman Moghadam, Raja Jurdak
2022	J	`jnl`	Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments. CoRR Joshua Knights, Kavisha Vidanapathirana, Milad Ramezani, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
2022	J	`jnl`	Wildcat: Online Continuous-Time 3D Lidar-Inertial SLAM. CoRR Milad Ramezani, Kasra Khosoussi, Gavin Catt, Peyman Moghadam, Jason Williams, Paulo Vinicius Koerich Borges, Fred Pauling, Navinda Kottege
2021	J	`jnl`	Canopy density estimation in perennial horticulture crops using 3D spinning lidar SLAM. J. Field Robotics Thomas Lowe, Peyman Moghadam, Everard J. Edwards, Jason L. Williams
2021	J	`jnl`	DeepSeagrass Dataset. CoRR Scarlett Raine, Ross Marchant, Peyman Moghadam, Frédéric Maire, Brett Kettle, Brano Kusy
2021	J	`jnl`	Dense Uncertainty Estimation. CoRR Jing Zhang, Yuchao Dai, Mochu Xiang, Deng-Ping Fan, Peyman Moghadam, Mingyi He, Christian Walder, Kaihao Zhang, Mehrtash Harandi, Nick Barnes
2021	J	`jnl`	LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. CoRR Kavisha Vidanapathirana, Milad Ramezani, Peyman Moghadam, Sridha Sridharan, Clinton Fookes
2021	A*	`conf`	Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling. ICRA Kavisha Vidanapathirana, Peyman Moghadam, Ben Harwood, Muming Zhao, Sridha Sridharan, Clinton Fookes
2021	J	`jnl`	Point Cloud Segmentation Using Sparse Temporal Local Attention. CoRR Joshua Knights, Peyman Moghadam, Clinton Fookes, Sridha Sridharan
2021	Misc	`conf`	Reduction of Feature Contamination for Hyper Spectral Image Classification. DICTA Sutharsan Mahendren, Tharindu Fernando, Sridha Sridharan, Peyman Moghadam, Clinton Fookes
2021	J	`jnl`	The CSIRO Crown-of-Thorn Starfish Detection Dataset. CoRR 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
2020	J	`jnl`	Canopy Density Estimation in Perennial Horticulture Crops Using 3D Spinning LiDAR SLAM. CoRR Thomas Lowe, Peyman Moghadam, Everard J. Edwards, Jason L. Williams
2020	J	`jnl`	Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM. CoRR Chanoh Park, Peyman Moghadam, Jason L. Williams, Soohwan Kim, Sridha Sridharan, Clinton Fookes
2020	J	`jnl`	Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling. CoRR Kavisha Vidanapathirana, Peyman Moghadam, Ben Harwood, Muming Zhao, Sridha Sridharan, Clinton Fookes
2020	Misc	`conf`	Multi-species Seagrass Detection and Classification from Underwater Images. DICTA Scarlett Raine, Ross Marchant, Peyman Moghadam, Frédéric Maire, Brett Kettle, Brano Kusy
2020	J	`jnl`	Multi-species Seagrass Detection and Classification from Underwater Images. CoRR Scarlett Raine, Ross Marchant, Peyman Moghadam, Frédéric Maire, Brett Kettle, Brano Kusy
2020	J	`jnl`	Scalable learning for bridging the species gap in image-based plant phenotyping. CoRR Daniel Ward, Peyman Moghadam
2020	J	`jnl`	Scalable learning for bridging the species gap in image-based plant phenotyping. Comput. Vis. Image Underst. Daniel Ward, Peyman Moghadam
2020	J	`jnl`	Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach. CoRR Chanoh Park, Peyman Moghadam, Soohwan Kim, Sridha Sridharan, Clinton Fookes
2020	J	`jnl`	Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach. IEEE Robotics Autom. Lett. Chanoh Park, Peyman Moghadam, Soohwan Kim, Sridha Sridharan, Clinton Fookes
2020	B	`conf`	Temporally Coherent Embeddings for Self-Supervised Video Representation Learning. ICPR Joshua Knights, Ben Harwood, Daniel Ward, Anthony Vanderkop, Olivia Mackenzie-Ross, Peyman Moghadam
2020	J	`jnl`	Temporally Coherent Embeddings for Self-Supervised Video Representation Learning. CoRR Joshua Knights, Anthony Vanderkop, Daniel Ward, Olivia Mackenzie-Ross, Peyman Moghadam
2019	J	`jnl`	Robust Photogeometric Localization Over Time for Map-Centric Loop Closure. IEEE Robotics Autom. Lett. Chanoh Park, Soohwan Kim, Peyman Moghadam, Jiadong Guo, Sridha Sridharan, Clinton Fookes
2019	J	`jnl`	Robust Photogeometric Localization over Time for Map-Centric Loop Closure. CoRR Chanoh Park, Soohwan Kim, Peyman Moghadam, Jiadong Guo, Sridha Sridharan, Clinton Fookes
2019	J	`jnl`	Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction. CoRR Shafeeq Elanattil, Peyman Moghadam
2018	A	`conf`	Deep Leaf Segmentation Using Synthetic Data. BMVC Daniel Ward, Peyman Moghadam, Nicolas Hudson
2018	J	`jnl`	Deep Leaf Segmentation Using Synthetic Data. CoRR Daniel Ward, Peyman Moghadam, Nicolas Hudson
2018	A*	`conf`	Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM. ICRA Chanoh Park, Peyman Moghadam, Soohwan Kim, Alberto Elfes, Clinton Fookes, Sridha Sridharan
2018	B	`conf`	Non-rigid Reconstruction with a Single Moving RGB-D Camera. ICPR Shafeeq Elanattil, Peyman Moghadam, Sridha Sridharan, Clinton Fookes, Mark Cox
2018	J	`jnl`	Non-rigid Reconstruction with a Single Moving RGB-D Camera. CoRR Shafeeq Elanattil, Peyman Moghadam, Sridha Sridharan, Clinton Fookes, Mark Cox
2018	Misc	`conf`	Skeleton Driven Non-Rigid Motion Tracking and 3D Reconstruction. DICTA Shafeeq Elanattil, Peyman Moghadam, Simon Denman, Sridha Sridharan, Clinton Fookes
2018	J	`jnl`	Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction. CoRR Shafeeq Elanattil, Peyman Moghadam, Simon Denman, Sridha Sridharan, Clinton Fookes
2017	J	`jnl`	Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM. CoRR Chanoh Park, Peyman Moghadam, Soohwan Kim, Alberto Elfes, Clinton Fookes, Sridha Sridharan
2017	Misc	`conf`	Plant Disease Detection Using Hyperspectral Imaging. DICTA Peyman Moghadam, Daniel Ward, Ethan Goan, Srimal Jayawardena, Pavan Sikka, Emili Hernández
2017	—	`conf`	Probabilistic Surfel Fusion for Dense LiDAR Mapping. ICCV Workshops Chanoh Park, Soohwan Kim, Peyman Moghadam, Clinton Fookes, Sridha Sridharan
2017	J	`jnl`	Probabilistic Surfel Fusion for Dense LiDAR Mapping. CoRR Chanoh Park, Soohwan Kim, Peyman Moghadam, Clinton Fookes, Sridha Sridharan
2016	J	`jnl`	SAGE: Semantic Annotation of Georeferenced Environments. J. Intell. Robotic Syst. Peyman Moghadam, Benjamin Evans, Elliot Duff
2015	A*	`conf`	Energetics-informed hexapod gait transitions across terrains. ICRA Navinda Kottege, Callum Parkinson, Peyman Moghadam, Alberto Elfes, Surya P. N. Singh
2014	A*	`conf`	Combining motion and appearance for scene segmentation. ICRA Paulo Vinicius Koerich Borges, Peyman Moghadam
2014	—	`conf`	Multi-sensor Based Gestures Recognition with a Smart Finger Ring. HCI (2) Mehran Roshandel, Aarti Munjal, Peyman Moghadam, Shahin Tajik, Hamed Ketabdar
2014	—	`conf`	Multi-sensor Finger Ring for Authentication Based on 3D Signatures. HCI (2) Mehran Roshandel, Aarti Munjal, Peyman Moghadam, Shahin Tajik, Hamed Ketabdar
2014	—	`conf`	Real-Time Stabilisation for Hexapod Robots. ISER Marcus Hörger, Navinda Kottege, Tirthankar Bandyopadhyay, Alberto Elfes, Peyman Moghadam
2013	A*	`conf`	3D thermal mapping of building interiors using an RGB-D and thermal camera. ICRA Stephen Vidas, Peyman Moghadam, Michael Bosse
2013	Misc	`conf`	Ad Hoc Radiometric Calibration of a Thermal-Infrared Camera. DICTA Stephen Vidas, Peyman Moghadam
2013	A*	`conf`	Line-based extrinsic calibration of range and image sensors. ICRA Peyman Moghadam, Michael Bosse, Robert Zlot
2012	A*	`conf`	Assessing the vulnerability of magnetic gestural authentication to video-based shoulder surfing attacks. CHI Alireza Sahami Shirazi, Peyman Moghadam, Hamed Ketabdar, Albrecht Schmidt
2012	J	`jnl`	Fast Vanishing-Point Detection in Unstructured Environments. IEEE Trans. Image Process. Peyman Moghadam, Janusz A. Starzyk, W. Sardha Wijesoma
2012	—	`conf`	MagiGuitar: a guitar that is played in air! Mobile HCI (Companion) Hamed Ketabdar, Hengwei Chang, Peyman Moghadam, Mehran Roshandel, Babak Naderi
2012	—	`conf`	Magnetic signatures in air for mobile devices. Mobile HCI (Companion) Hamed Ketabdar, Peyman Moghadam, Babak Naderi, Mehran Roshandel
2012	Misc	`conf`	Pingu: A New Miniature Wearable Device for Ubiquitous Computing Environments. CISIS Hamed Ketabdar, Peyman Moghadam, Mehran Roshandel
2012	A	`conf`	Road direction detection based on vanishing-point tracking. IROS Peyman Moghadam, Jun Feng Dong
2010	C	`conf`	Collaborative multi-vehicle localization and mapping in high clutter environments. ICARCV M. D. P. Moratuwage, Wijerupage Sardha Wijesoma, Bharath Kalyan, Nicholas M. Patrikalakis, Peyman Moghadam
2010	C	`conf`	Towards a fully-autonomous vision-based vehicle navigation system in outdoor environments. ICARCV Peyman Moghadam, Wijerupage Sardha Wijesoma, M. D. P. Moratuwage
2009	B	`conf`	Online, Self-Supervised Vision-Based Terrain Classification in Unstructured Environments. SMC Peyman Moghadam, Wijerupage Sardha Wijesoma
2008	C	`conf`	Improving path planning and mapping based on stereo vision and lidar. ICARCV Peyman Moghadam, Wijerupage Sardha Wijesoma, Dong Jun Feng