Bangalore Ravi Kiran
Orcid: 0000-0002-8641-7530Affiliations:
- Navya, Paris, France
- AKKA Technologies, France (former)
- Université Charles de Gaulle, Lille, Villeneuve-d'Ascq, France (former)
According to our database1,
Bangalore Ravi Kiran
authored at least 36 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Navya3DSeg - Navya 3D Semantic Segmentation Dataset Design & Split Generation for Autonomous Vehicles.
IEEE Robotics Autom. Lett., September, 2023
Monocular three-dimensional object detection using data augmentation and self-supervised learning in autonomous driving.
Adv. Math. Commun., 2023
Evaluating the effect of data augmentation and BALD heuristics on distillation of Semantic-KITTI dataset.
CoRR, 2023
Navya3DSeg - Navya 3D Semantic Segmentation Dataset & split generation for autonomous vehicles.
CoRR, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
CoRR, 2022
LiDAR Dataset Distillation within Bayesian Active Learning Framework Understanding the Effect of Data Augmentation.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Simulation-to-Reality Domain Adaptation for Offline 3D Object Annotation on Pointclouds with Correlation Alignment.
Proceedings of the 2nd International Conference on Image Processing and Vision Engineering, 2022
Active Learning with Data Augmentation Under Small vs Large Dataset Regimes for Semantic-KITTI Dataset.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2022
2021
2020
CoRR, 2020
2019
IEEE Access, 2019
Exploring Applications of Deep Reinforcement Learning for Real-world Autonomous Driving Systems.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019
2018
An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation.
Sensors, 2018
An Overview of Deep Learning Based Methods for Unsupervised and Semi-Supervised Anomaly Detection in Videos.
J. Imaging, 2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
2017
CoRR, 2017
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2017
2016
Proceedings of the Discrete Geometry for Computer Imagery, 2016
Unsupervised Clustering of Hyperspectral Images of Brain Tissues by Hierarchical Non-negative Matrix Factorization.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016
2015
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015
2014
PhD thesis, 2014
Pattern Recognit. Lett., 2014
Pattern Recognit., 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2013
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2013
2012
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012