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Sourav Garg
Sourav Garg
AIML, University of Adelaide, Australia
Verified email at adelaide.edu.au - Homepage
Title
Cited by
Cited by
Year
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
4482021
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
arXiv preprint arXiv:2307.06135, 2023
2692023
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
1652021
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
1582020
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
1552018
Where is your place, Visual Place Recognition?
S Garg, T Fischer, M Milford
International Joint Conference on Artificial Intelligence (IJCAI) 2021, 2021
1362021
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
1292023
SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition
S Garg, M Milford
IEEE Robotics and Automation Letters (RA-L) 2021, 2021
1102021
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
1022019
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
932018
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
882021
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
602023
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
582020
Visual Place Recognition: A Tutorial
S Schubert, P Neubert, S Garg, M Milford, T Fischer
IEEE Robotics & Automation Magazine (RAM), 2023
56*2023
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
512020
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
512015
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
422022
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
372017
Seqmatchnet: Contrastive learning with sequence matching for place recognition & relocalization
S Garg, M Vankadari, M Milford
Conference on Robot Learning, 429-443, 2022
352022
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
352021
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