Bangalore Ravi Kiran

Orcid: 0000-0002-8641-7530

Affiliations:
  • 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 34 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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Bibliography

2024
BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation.
CoRR, 2024

2023
Navya3DSeg - Navya 3D Semantic Segmentation Dataset Design & Split Generation for Autonomous Vehicles.
IEEE Robotics Autom. Lett., September, 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
Deep Reinforcement Learning for Autonomous Driving: A Survey.
IEEE Trans. Intell. Transp. Syst., 2022

Monocular three-dimensional object detection using data augmentation and self-supervised learning in autonomous driving.
J. Electronic Imaging, 2022

Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes.
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
Exploring 2D Data Augmentation for 3D Monocular Object Detection.
CoRR, 2021

2020
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles.
CoRR, 2020

2019
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection.
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

Regression and Classification by Zonal Kriging.
CoRR, 2018

Real-Time Dynamic Object Detection for Autonomous Driving Using Prior 3D-Maps.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Real-Time Background Subtraction Using Adaptive Sampling and Cascade of Gaussians.
CoRR, 2017

Cost-Complexity Pruning of Random Forests.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2017

2016
Digitization of Partitions and Tessellations.
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
Constrained Optimization on Hierarchies and Braids of Partitions.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

Braids of Partitions.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

2014
Energetic-lattice based optimization. (L'optimization par trellis-énergetique).
PhD thesis, 2014

Fusion of ground truths and hierarchies of segmentations.
Pattern Recognit. Lett., 2014

Global-local optimizations by hierarchical cuts and climbing energies.
Pattern Recognit., 2014

Energetic lattice for optimizing over hierarchies of partitions.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Scale Space Operators on Hierarchies of Segmentations.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Optima on Hierarchies of Partitions.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2013

Ground Truth Energies for Hierarchies of Segmentations.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2013

2012
Climbing on Pyramids
CoRR, 2012

Climbing: A Unified Approach for Global Constraints on Hierarchical Segmentation.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Hierarchies and Climbing Energies.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012


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