Sourav Garg
Sourav Garg
AIML, University of Adelaide, Australia
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Cited by
Cited by
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
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
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
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
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
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
Where is your place, Visual Place Recognition?
S Garg, T Fischer, M Milford
International Joint Conference on Artificial Intelligence (IJCAI) 2021, 2021
SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition
S Garg, M Milford
IEEE Robotics and Automation Letters (RA-L) 2021, 2021
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
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
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
Fast, Compact and Highly Scalable Visual Place Recognition through Sequence-based Matching of Overloaded Representations
S Garg, M Milford
IEEE International Conference on Robotics and Automation (ICRA), 2020, 2020
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
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
OpenSeqSLAM2. 0: An Open Source Toolbox for Visual Place Recognition Under Changing Conditions
B Talbot, S Garg, M Milford
Intelligent Robots and Systems (IROS), 2018 IEEE/RSJ International Conference on, 2018
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
Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation
S Garg, V Babu, T Dharmasiri, S Hausler, N Suenderhauf, S Kumar, ...
IEEE International Conference on Robotics and Automation (ICRA), 2019, 2019
An on-line visual human tracking algorithm using SURF-based dynamic object model
M Gupta, S Garg, S Kumar, L Behera
Image Processing (ICIP), 2013 20th IEEE International Conference on, 3875-3879, 2013
Computer implemented system and method for recognizing and counting products within images
S Kumar, N Kejriwal, G Sourav
US Patent 10,510,038, 2019
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
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