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Peyman Moghadam
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2020 – today
- 2024
- [j16]Joshua Knights
, Stephen Hausler
GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors. IEEE Robotics Autom. Lett. 9(1): 915-922 (2024) - [j15]Milad Ramezani
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. IEEE Robotics Autom. Lett. 9(2): 1182-1189 (2024) - [j14]Shaheer Mohamed
FactoFormer: Factorized Hyperspectral Transformers With Self-Supervised Pretraining. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [c42]Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil:
TULIP: Transformer for Upsampling of LiDAR Point Clouds. CVPR 2024: 15354-15364 - [c41]Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz:
Pre-training with Random Orthogonal Projection Image Modeling. ICLR 2024 - [c40]Stephen Hausler, David Hall
Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields. ICRA 2024: 15409-15415 - [i48]Stephen Hausler, David Hall, Sutharsan Mahendren, Peyman Moghadam:
Reg-NF: Efficient Registration of Implicit Surfaces within Neural Fields. CoRR abs/2402.09722 (2024) - [i47]David Hall, Stephen Hausler, Sutharsan Mahendren, Peyman Moghadam:
Object Registration in Neural Fields. CoRR abs/2404.18381 (2024) - [i46]Stephen Hausler, Ethan Griffiths, Milad Ramezani, Peyman Moghadam:
Towards Long-term Robotics in the Wild. CoRR abs/2404.18477 (2024) - [i45]Joshua Knights, Sebastián Barbas Laina, Peyman Moghadam, Stefan Leutenegger:
SOLVR: Submap Oriented LiDAR-Visual Re-Localisation. CoRR abs/2409.10247 (2024) - [i44]Sean M. V. Collins, Brendan Tidd, Mahsa Baktashmotlagh, Peyman Moghadam:
Shape-Space Deformer: Unified Visuo-Tactile Representations for Robotic Manipulation of Deformable Objects. CoRR abs/2409.12419 (2024) - [i43]Sutharsan Mahendren, Saimunur Rahman, Piotr Koniusz, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings. CoRR abs/2409.15832 (2024) - [i42]Saimunur Rahman, Peyman Moghadam:
Learning Compact Channel Correlation Representation for LiDAR Place Recognition. CoRR abs/2409.15919 (2024) - [i41]Kaushik Roy, Akila Dissanayake, Brendan Tidd, Peyman Moghadam:
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning. CoRR abs/2410.00064 (2024) - 2023
- [j13]Kaushik Roy
CL3: Generalization of Contrastive Loss for Lifelong Learning. J. Imaging 9(12): 259 (2023) - [j12]Kaushik Roy
Subspace distillation for continual learning. Neural Networks 167: 65-79 (2023) - [j11]Zhibin Li
Exploiting Field Dependencies for Learning on Categorical Data. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13509-13522 (2023) - [j10]Kavisha Vidanapathirana
Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization. IEEE Robotics Autom. Lett. 8(5): 2494-2501 (2023) - [c39]Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun:
Learning Partial Correlation based Deep Visual Representation for Image Classification. CVPR 2023: 6231-6240 - [c38]Leila Mahmoodi, Mehrtash Harandi, Peyman Moghadam:
Flashback for Continual Learning. ICCV (Workshops) 2023: 3426-3435 - [c37]Joshua Knights, Kavisha Vidanapathirana
Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments. ICRA 2023: 11322-11328 - [c36]Milad Ramezani
Deep Robust Multi-Robot Re-Localisation in Natural Environments. IROS 2023: 3322-3328 - [c35]Keita Mason, Joshua Knights, Milad Ramezani
Uncertainty-Aware Lidar Place Recognition in Novel Environments. IROS 2023: 3366-3373 - [c34]Kaushik Roy, Peyman Moghadam, Mehrtash Harandi:
L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space. MICCAI (2) 2023: 123-133 - [c33]Hashini Senaratne, Alex Pitt, Fletcher Talbot, Peyman Moghadam
Measuring Situational Awareness Latency in Human-Robot Teaming Experiments. RO-MAN 2023: 2624-2631 - [i40]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 abs/2301.01918 (2023) - [i39]Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun:
Learning Partial Correlation based Deep Visual Representation for Image Classification. CoRR abs/2304.11597 (2023) - [i38]Zhibin Li, Piotr Koniusz, Lu Zhang, Daniel Edward Pagendam, Peyman Moghadam:
Exploiting Field Dependencies for Learning on Categorical Data. CoRR abs/2307.09321 (2023) - [i37]Milad Ramezani, Ethan Griffiths, Maryam Haghighat, Alex Pitt, Peyman Moghadam:
Deep Robust Multi-Robot Re-localisation in Natural Environments. CoRR abs/2307.13950 (2023) - [i36]Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi:
Subspace Distillation for Continual Learning. CoRR abs/2307.16419 (2023) - [i35]Kaushik Roy, Peyman Moghadam, Mehrtash Harandi:
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space. CoRR abs/2307.16459 (2023) - [i34]Joshua Knights, Stephen Hausler, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
GeoAdapt: Self-Supervised Test-Time Adaption in LiDAR Place Recognition Using Geometric Priors. CoRR abs/2308.04638 (2023) - [i33]Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam:
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. CoRR abs/2309.00168 (2023) - [i32]Shaheer Mohamed, Maryam Haghighat, Tharindu Fernando, Sridha Sridharan, Clinton Fookes, Peyman Moghadam:
FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training. CoRR abs/2309.09431 (2023) - [i31]Can Peng, Piotr Koniusz, Kaiyu Guo, Brian C. Lovell, Peyman Moghadam:
Multivariate Prototype Representation for Domain-Generalized Incremental Learning. CoRR abs/2309.13563 (2023) - [i30]Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz:
Pre-training with Random Orthogonal Projection Image Modeling. CoRR abs/2310.18737 (2023) - [i29]Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil:
TULIP: Transformer for Upsampling of LiDAR Point Cloud. CoRR abs/2312.06733 (2023) - [i28]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 abs/2312.15364 (2023) - 2022
- [j9]Paulo V. K. Borges
A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges. Field Robotics 2(1): 1567-1627 (2022) - [j8]Dimity Miller
What's in the Black Box? The False Negative Mechanisms Inside Object Detectors. IEEE Robotics Autom. Lett. 7(3): 8510-8517 (2022) - [j7]Chanoh Park
Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM. IEEE Trans. Robotics 38(2): 978-997 (2022) - [c32]Dimity Miller
Why Object Detectors Fail: Investigating the Influence of the Dataset. CVPR Workshops 2022: 4822-4829 - [c31]Kavisha Vidanapathirana
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. ICRA 2022: 2215-2221 - [c30]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: 1744-1747 - [c29]Joshua Knights, Peyman Moghadam
InCloud: Incremental Learning for Point Cloud Place Recognition. IROS 2022: 8559-8566 - [c28]Yang Li, Jiajun Liu, Brano Kusy
A real-time edge-AI system for reef surveys. MobiCom 2022: 903-906 - [i27]Joshua Knights, Peyman Moghadam, Milad Ramezani, Sridha Sridharan, Clinton Fookes:
InCloud: Incremental Learning for Point Cloud Place Recognition. CoRR abs/2203.00807 (2022) - [i26]Dimity Miller, Peyman Moghadam, Mark Cox, Matt Wildie, Raja Jurdak:
What's in the Black Box? The False Negative Mechanisms Inside Object Detectors. CoRR abs/2203.07662 (2022) - [i25]Milad Ramezani, Kasra Khosoussi
Wildcat: Online Continuous-Time 3D Lidar-Inertial SLAM. CoRR abs/2205.12595 (2022) - [i24]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 abs/2207.02482 (2022) - [i23]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
A Real-time Edge-AI System for Reef Surveys. CoRR abs/2208.00598 (2022) - [i22]Keita Mason, Joshua Knights, Milad Ramezani, Peyman Moghadam, Dimity Miller:
Uncertainty-Aware Lidar Place Recognition in Novel Environments. CoRR abs/2210.01361 (2022) - [i21]Kavisha Vidanapathirana, Peyman Moghadam, Sridha Sridharan, Clinton Fookes:
Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization. CoRR abs/2210.04432 (2022) - [i20]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 abs/2211.12732 (2022) - 2021
- [j6]Thomas Lowe
Canopy density estimation in perennial horticulture crops using 3D spinning lidar SLAM. J. Field Robotics 38(4): 598-618 (2021) - [c27]Sutharsan Mahendren, Tharindu Fernando
Reduction of Feature Contamination for Hyper Spectral Image Classification. DICTA 2021: 1-8 - [c26]Kavisha Vidanapathirana
Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling. ICRA 2021: 5075-5081 - [i19]Scarlett Raine, Ross Marchant, Peyman Moghadam, Frédéric Maire, Brett Kettle, Brano Kusy:
DeepSeagrass Dataset. CoRR abs/2103.05226 (2021) - [i18]Kavisha Vidanapathirana, Milad Ramezani, Peyman Moghadam, Sridha Sridharan, Clinton Fookes:
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. CoRR abs/2109.08336 (2021) - [i17]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 abs/2110.06427 (2021) - [i16]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 abs/2111.14311 (2021) - [i15]Joshua Knights, Peyman Moghadam, Clinton Fookes, Sridha Sridharan:
Point Cloud Segmentation Using Sparse Temporal Local Attention. CoRR abs/2112.00289 (2021) - 2020
- [j5]Daniel Ward, Peyman Moghadam
Scalable learning for bridging the species gap in image-based plant phenotyping. Comput. Vis. Image Underst. 197-198: 103009 (2020) - [j4]Chanoh Park
Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach. IEEE Robotics Autom. Lett. 5(2): 1556-1563 (2020) - [c25]Scarlett Raine
Multi-species Seagrass Detection and Classification from Underwater Images. DICTA 2020: 1-8 - [c24]Joshua Knights, Ben Harwood, Daniel Ward, Anthony Vanderkop, Olivia Mackenzie-Ross, Peyman Moghadam
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning. ICPR 2020: 8914-8921 - [i14]Chanoh Park, Peyman Moghadam, Soohwan Kim, Sridha Sridharan, Clinton Fookes:
Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach. CoRR abs/2001.06175 (2020) - [i13]Daniel Ward, Peyman Moghadam:
Scalable learning for bridging the species gap in image-based plant phenotyping. CoRR abs/2003.10757 (2020) - [i12]Joshua Knights, Anthony Vanderkop, Daniel Ward, Olivia Mackenzie-Ross, Peyman Moghadam:
Temporally Coherent Embeddings for Self-Supervised Video Representation Learning. CoRR abs/2004.02753 (2020) - [i11]Thomas Lowe, Peyman Moghadam, Everard J. Edwards, Jason L. Williams:
Canopy Density Estimation in Perennial Horticulture Crops Using 3D Spinning LiDAR SLAM. CoRR abs/2007.15652 (2020) - [i10]Chanoh Park, Peyman Moghadam, Jason L. Williams, Soohwan Kim, Sridha Sridharan, Clinton Fookes:
Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM. CoRR abs/2008.02274 (2020) - [i9]Scarlett Raine, Ross Marchant, Peyman Moghadam, Frédéric Maire, Brett Kettle, Brano Kusy:
Multi-species Seagrass Detection and Classification from Underwater Images. CoRR abs/2009.09924 (2020) - [i8]Kavisha Vidanapathirana, Peyman Moghadam, Ben Harwood, Muming Zhao, Sridha Sridharan, Clinton Fookes:
Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling. CoRR abs/2011.14497 (2020)
2010 – 2019
- 2019
- [j3]Chanoh Park
Robust Photogeometric Localization Over Time for Map-Centric Loop Closure. IEEE Robotics Autom. Lett. 4(2): 1768-1775 (2019) - [i7]Chanoh Park, Soohwan Kim, Peyman Moghadam, Jiadong Guo, Sridha Sridharan, Clinton Fookes:
Robust Photogeometric Localization over Time for Map-Centric Loop Closure. CoRR abs/1901.07660 (2019) - [i6]Shafeeq Elanattil, Peyman Moghadam:
Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction. CoRR abs/1903.02679 (2019) - 2018
- [c23]Daniel Ward, Peyman Moghadam, Nicolas Hudson:
Deep Leaf Segmentation Using Synthetic Data. BMVC 2018: 327 - [c22]Shafeeq Elanattil, Peyman Moghadam
Skeleton Driven Non-Rigid Motion Tracking and 3D Reconstruction. DICTA 2018: 1-8 - [c21]Shafeeq Elanattil, Peyman Moghadam
Non-rigid Reconstruction with a Single Moving RGB-D Camera. ICPR 2018: 1049-1055 - [c20]Chanoh Park, Peyman Moghadam
Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM. ICRA 2018: 1206-1213 - [i5]Shafeeq Elanattil, Peyman Moghadam, Sridha Sridharan, Clinton Fookes, Mark Cox:
Non-rigid Reconstruction with a Single Moving RGB-D Camera. CoRR abs/1805.11219 (2018) - [i4]Daniel Ward, Peyman Moghadam, Nicolas Hudson:
Deep Leaf Segmentation Using Synthetic Data. CoRR abs/1807.10931 (2018) - [i3]Shafeeq Elanattil, Peyman Moghadam, Simon Denman, Sridha Sridharan, Clinton Fookes:
Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction. CoRR abs/1810.03774 (2018) - 2017
- [c19]Peyman Moghadam
Plant Disease Detection Using Hyperspectral Imaging. DICTA 2017: 1-8 - [c18]Chanoh Park, Soohwan Kim
Probabilistic Surfel Fusion for Dense LiDAR Mapping. ICCV Workshops 2017: 2418-2426 - [i2]Chanoh Park
Probabilistic Surfel Fusion for Dense LiDAR Mapping. CoRR abs/1709.01265 (2017) - [i1]Chanoh Park
Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM. CoRR abs/1711.01691 (2017) - 2016
- [j2]Peyman Moghadam
SAGE: Semantic Annotation of Georeferenced Environments. J. Intell. Robotic Syst. 83(3-4): 635-648 (2016) - 2015
- [c17]Navinda Kottege, Callum Parkinson, Peyman Moghadam
Energetics-informed hexapod gait transitions across terrains. ICRA 2015: 5140-5147 - 2014
- [c16]Mehran Roshandel, Aarti Munjal, Peyman Moghadam, Shahin Tajik, Hamed Ketabdar:
Multi-sensor Finger Ring for Authentication Based on 3D Signatures. HCI (2) 2014: 131-138 - [c15]Mehran Roshandel, Aarti Munjal, Peyman Moghadam, Shahin Tajik, Hamed Ketabdar:
Multi-sensor Based Gestures Recognition with a Smart Finger Ring. HCI (2) 2014: 316-324 - [c14]Paulo Vinicius Koerich Borges, Peyman Moghadam
Combining motion and appearance for scene segmentation. ICRA 2014: 1028-1035 - [c13]Marcus Hörger, Navinda Kottege, Tirthankar Bandyopadhyay, Alberto Elfes, Peyman Moghadam:
Real-Time Stabilisation for Hexapod Robots. ISER 2014: 729-744 - 2013
- [c12]Stephen Vidas
Ad Hoc Radiometric Calibration of a Thermal-Infrared Camera. DICTA 2013: 1-8 - [c11]Stephen Vidas
3D thermal mapping of building interiors using an RGB-D and thermal camera. ICRA 2013: 2311-2318 - [c10]Peyman Moghadam
Line-based extrinsic calibration of range and image sensors. ICRA 2013: 3685-3691 - 2012
- [j1]Peyman Moghadam
Fast Vanishing-Point Detection in Unstructured Environments. IEEE Trans. Image Process. 21(1): 425-430 (2012) - [c9]Alireza Sahami Shirazi, Peyman Moghadam, Hamed Ketabdar, Albrecht Schmidt
Assessing the vulnerability of magnetic gestural authentication to video-based shoulder surfing attacks. CHI 2012: 2045-2048 - [c8]Hamed Ketabdar, Peyman Moghadam, Mehran Roshandel:
Pingu: A New Miniature Wearable Device for Ubiquitous Computing Environments. CISIS 2012: 502-506 - [c7]Peyman Moghadam
Road direction detection based on vanishing-point tracking. IROS 2012: 1553-1560 - [c6]Hamed Ketabdar, Hengwei Chang, Peyman Moghadam, Mehran Roshandel, Babak Naderi:
MagiGuitar: a guitar that is played in air! Mobile HCI (Companion) 2012: 181-184 - [c5]Hamed Ketabdar, Peyman Moghadam
Magnetic signatures in air for mobile devices. Mobile HCI (Companion) 2012: 185-188 - 2010
- [c4]Peyman Moghadam, Wijerupage Sardha Wijesoma, M. D. P. Moratuwage:
Towards a fully-autonomous vision-based vehicle navigation system in outdoor environments. ICARCV 2010: 597-602 - [c3]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: 1422-1427
2000 – 2009
- 2009
- [c2]Peyman Moghadam
Online, Self-Supervised Vision-Based Terrain Classification in Unstructured Environments. SMC 2009: 3100-3105 - 2008
- [c1]Peyman Moghadam
Improving path planning and mapping based on stereo vision and lidar. ICARCV 2008: 384-389
Coauthor Index
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