Sourav Garg

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Michael MilfordQUT Professor | Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowVerified email at qut.edu.au
Niko SuenderhaufProfessor at Queensland University of Technology (QUT) Centre for RoboticsVerified email at qut.edu.au
Stephen HauslerCSIROVerified email at csiro.au
Swagat KumarEdge Hill UniversityVerified email at edgehill.ac.uk
Ming XuResearch Fellow, Australian National UniversityVerified email at anu.edu.au
Ian D ReidMohammed Bin Zayed University of Artificial Intelligence and University of AdelaideVerified email at adelaide.edu.au
Tobias FischerDECRA Fellow, Senior Lecturer (US: Associate Professor), Queensland University of Technology (QUT)Verified email at qut.edu.au
Feras DayoubThe University of Adelaide - Australian Institute for Machine Learning (AIML)Verified email at adelaide.edu.au
Nishant KejriwalNovus Hi-tech Robotics SystemzVerified email at novushitech.com
Madhu VankadariUniversity of OxfordVerified email at cs.ox.ac.uk
Peter CorkeQueensland University of Technology (QUT)Verified email at qut.edu.au
Klaus McDonald-MaierProfessor, University of EssexVerified email at essex.ac.uk
Mubariz ZaffarPhD Candidate, Cognitive Robotics @TU DelftVerified email at tudelft.nl
Shoaib EhsanAssoc. Prof, University of Southampton | Reader, University of Essex | Co-I, Responsible AI UKVerified email at soton.ac.uk
Tat-Jun ChinSmartSat CRC Professorial Chair of Sentient Satellites, The University of AdelaideVerified email at adelaide.edu.au
Doug MorrisonQueensland University of TechnologyVerified email at hdr.qut.edu.au
Qi WuAssociate Professor, University of Adelaide, Adelaide, AustraliaVerified email at adelaide.edu.au
Akan CosgunDeakin UniversityVerified email at monash.edu
Meenakshi GuptaNational University of SingaporeVerified email at nus.edu.sg
Adam JacobsonQueensland University of TechnologyVerified email at connect.qut.edu.au

Sourav Garg

AIML, University of Adelaide, Australia

Verified email at adelaide.edu.au - Homepage

Robotics Computer Vision Deep Learning


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Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition S Hausler, S Garg, M Xu, M Milford, T Fischer IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021, 2021	415	2021
Sayplan: Grounding large language models using 3d scene graphs for scalable robot task planning K Rana, J Haviland, S Garg, J Abou-Chakra, I Reid, N Suenderhauf 7th Annual Conference on Robot Learning, 2023	233*	2023
VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change M Zaffar, S Garg, S Ehsan, M Milford, J Kooij, D Flynn, K McDonald-Maier International Journal of Computer Vision (IJCV), 2021, 2021	161	2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey S Garg, N Suenderhauf, F Dayoub, D Morrison, A Cosgun, G Carneiro, ... Foundations and Trends® in Robotics 8 (1), 1-222, 2020	155	2020
LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics S Garg, N Suenderhauf, M Milford Robotics: Science and Systems (RSS), Pittsburgh, PA, USA, June 26-30, 2018, 2018	150	2018
Where is your place, Visual Place Recognition? S Garg, T Fischer, M Milford International Joint Conference on Artificial Intelligence (IJCAI) 2021, 2021	131	2021
Anyloc: Towards universal visual place recognition N Keetha, A Mishra, J Karhade, KM Jatavallabhula, S Scherer, M Krishna, ... IEEE Robotics and Automation Letters (RA-L), 2023	102	2023
Semantic–geometric visual place recognition: a new perspective for reconciling opposing views S Garg, N Suenderhauf, M Milford The International Journal of Robotics Research (IJRR), 0278364919839761, 2019	102	2019
SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition S Garg, M Milford IEEE Robotics and Automation Letters (RA-L) 2021, 2021	100	2021
Don't Look Back: Robustifying Place Categorization for Viewpoint- and Condition-Invariant Place Recognition S Garg, N Suenderhauf, M Milford IEEE International Conference on Robotics and Automation (ICRA), 2018, 2018	91	2018
Zero-shot day-night domain adaptation with a physics prior A Lengyel, S Garg, M Milford, JC van Gemert Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	85	2021
Gdip: Gated differentiable image processing for object detection in adverse conditions S Kalwar, D Patel, A Aanegola, KR Konda, S Garg, KM Krishna 2023 IEEE International Conference on Robotics and Automation (ICRA), 7083-7089, 2023	55	2023
Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation M Vankadari, S Garg, A Majumder, S Kumar, A Behera 16TH European Conference on Computer Vision (ECCV), 2020, 2020	54	2020
Product counting using images with application to robot-based retail stock assessment N Kejriwal, S Garg, S Kumar 2015 IEEE international conference on technologies for practical robot …, 2015	50	2015
Delta Descriptors: Change-Based Place Representation for Robust Visual Localization S Garg, B Harwood, G Anand, M Milford IEEE Robotics and Automation Letters (RA-L), 2020, 2020	49	2020
Visual Place Recognition: A Tutorial S Schubert, P Neubert, S Garg, M Milford, T Fischer IEEE Robotics & Automation Magazine (RAM), 2023	44	2023
Improving condition-and environment-invariant place recognition with semantic place categorization S Garg, A Jacobson, S Kumar, M Milford 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017	38	2017
Multires-netvlad: Augmenting place recognition training with low-resolution imagery A Khaliq, M Milford, S Garg IEEE Robotics and Automation Letters 7 (2), 3882-3889, 2022	37	2022
A Hierarchical Dual Model of Environment-and Place-Specific Utility for Visual Place Recognition NV Keetha, M Milford, S Garg IEEE Robotcs and Automation Letters (RA-L) 2021, 2021	35	2021
High-fidelity simulation for evaluating robotic vision performance J Skinner, S Garg, N Sünderhauf, P Corke, B Upcroft, M Milford 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016	35	2016

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