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Bangalore Ravi Kiran
Person information
- affiliation: Navya, Paris, France
- affiliation (former): AKKA Technologies, France
- affiliation (former): Université Charles de Gaulle, Lille, Villeneuve-d'Ascq, France
Other persons with the same name
- B. Ravi Kiran 0002 — ANITS, Visakhapatnam, India
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2020 – today
- 2024
- [i17]Jonas Schramm, Niclas Vödisch, Kürsat Petek, B. Ravi Kiran, Senthil Kumar Yogamani, Wolfram Burgard, Abhinav Valada:
BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation. CoRR abs/2403.11761 (2024) - [i16]Nikhil Gosala, Kürsat Petek, B. Ravi Kiran, Senthil Kumar Yogamani, Paulo Drews Jr., Wolfram Burgard, Abhinav Valada:
LetsMap: Unsupervised Representation Learning for Semantic BEV Mapping. CoRR abs/2405.18852 (2024) - 2023
- [j8]Alexandre Almin
, Léo Lemarié, Ngoc Phuong Anh Duong
Navya3DSeg - Navya 3D Semantic Segmentation Dataset Design & Split Generation for Autonomous Vehicles. IEEE Robotics Autom. Lett. 8(9): 5584-5591 (2023) - [i15]Alexandre Almin, Léo Lemarié, Ngoc Phuong Anh Duong, Bangalore Ravi Kiran:
Navya3DSeg - Navya 3D Semantic Segmentation Dataset & split generation for autonomous vehicles. CoRR abs/2302.08292 (2023) - [i14]Ngoc Phuong Anh Duong, Alexandre Almin, Léo Lemarié, Bangalore Ravi Kiran:
Evaluating the effect of data augmentation and BALD heuristics on distillation of Semantic-KITTI dataset. CoRR abs/2302.10679 (2023) - 2022
- [j7]Sugirtha Thayalan, Sridevi Muthukumarasamy, Khailash Santhakumar, Bangalore Ravi Kiran, Hao Liu, Thomas Gauthier, Senthil Kumar Yogamani:
Monocular three-dimensional object detection using data augmentation and self-supervised learning in autonomous driving. J. Electronic Imaging 32(1) (2022) - [j6]B. Ravi Kiran
Deep Reinforcement Learning for Autonomous Driving: A Survey. IEEE Trans. Intell. Transp. Syst. 23(6): 4909-4926 (2022) - [c16]Ngoc Phuong Anh Duong, Alexandre Almin, Léo Lemarié, B. Ravi Kiran
Active Learning with Data Augmentation Under Small vs Large Dataset Regimes for Semantic-KITTI Dataset. VISIGRAPP (Revised Selected Papers) 2022: 268-280 - [c15]Weishuang Zhang, B. Ravi Kiran, Thomas Gauthier, Yanis Mazouz, Theo Steger:
Simulation-to-Reality Domain Adaptation for Offline 3D Object Annotation on Pointclouds with Correlation Alignment. IMPROVE 2022: 142-149 - [c14]Ngoc Phuong Anh Duong, Alexandre Almin, Léo Lemarié, B. Ravi Kiran:
LiDAR Dataset Distillation within Bayesian Active Learning Framework Understanding the Effect of Data Augmentation. VISIGRAPP (4: VISAPP) 2022: 159-167 - [i13]Ngoc Phuong Anh Duong, Alexandre Almin, Léo Lemarié, Bangalore Ravi Kiran:
LiDAR dataset distillation within bayesian active learning framework: Understanding the effect of data augmentation. CoRR abs/2202.02661 (2022) - [i12]Weishuang Zhang, B. Ravi Kiran, Thomas Gauthier, Yanis Mazouz, Theo Steger:
Simulation-to-Reality domain adaptation for offline 3D object annotation on pointclouds with correlation alignment. CoRR abs/2202.02666 (2022) - [i11]Sugirtha T, Sridevi M, Khailash Santhakumar, Hao Liu, Bangalore Ravi Kiran, Thomas Gauthier, Senthil Kumar Yogamani:
Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes. CoRR abs/2206.12738 (2022) - 2021
- [i10]Sugirtha T, Sridevi M, Khailash Santhakumar, B. Ravi Kiran, Thomas Gauthier, Senthil Kumar Yogamani:
Exploring 2D Data Augmentation for 3D Monocular Object Detection. CoRR abs/2104.10786 (2021) - 2020
- [i9]Bangalore Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Kumar Yogamani, Patrick Pérez:
Deep Reinforcement Learning for Autonomous Driving: A Survey. CoRR abs/2002.00444 (2020) - [i8]Leonardo Gigli
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles. CoRR abs/2005.13102 (2020)
2010 – 2019
- 2019
- [j5]Himar Fabelo
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. IEEE Access 7: 39098-39116 (2019) - [c13]Victor Talpaert, Ibrahim Sobh, B. Ravi Kiran, Patrick Mannion, Senthil Kumar Yogamani, Ahmad El Sallab, Patrick Pérez:
Exploring Applications of Deep Reinforcement Learning for Real-world Autonomous Driving Systems. VISIGRAPP (5: VISAPP) 2019: 564-572 - [i7]Victor Talpaert, Ibrahim Sobh, B. Ravi Kiran, Patrick Mannion, Senthil Kumar Yogamani, Ahmad El Sallab, Patrick Pérez:
Exploring applications of deep reinforcement learning for real-world autonomous driving systems. CoRR abs/1901.01536 (2019) - 2018
- [j4]B. Ravi Kiran, Dilip Mathew Thomas, Ranjith Parakkal:
An Overview of Deep Learning Based Methods for Unsupervised and Semi-Supervised Anomaly Detection in Videos. J. Imaging 4(2): 36 (2018) - [j3]Himar Fabelo
An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation. Sensors 18(2): 430 (2018) - [c12]B. Ravi Kiran, Luis Roldão, Beñat Irastorza, Renzo Verastegui, Sebastian Süss, Senthil Kumar Yogamani, Victor Talpaert, Alexandre Lepoutre, Guillaume Trehard:
Real-Time Dynamic Object Detection for Autonomous Driving Using Prior 3D-Maps. ECCV Workshops (5) 2018: 567-582 - [i6]B. Ravi Kiran, Dilip Mathew Thomas, Ranjith Parakkal:
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos. CoRR abs/1801.03149 (2018) - [i5]B. Ravi Kiran, Luis Roldão, Beñat Irastorza, Renzo Verastegui, Sebastian Süss, Senthil Kumar Yogamani, Victor Talpaert, Alexandre Lepoutre, Guillaume Trehard:
Real-time Dynamic Object Detection for Autonomous Driving using Prior 3D-Maps. CoRR abs/1809.11036 (2018) - [i4]Jean Serra, Jesús Angulo, Bangalore Ravi Kiran:
Regression and Classification by Zonal Kriging. CoRR abs/1811.12507 (2018) - 2017
- [c11]Bangalore Ravi Kiran, Jean Serra:
Cost-Complexity Pruning of Random Forests. ISMM 2017: 222-232 - [i3]Bangalore Ravi Kiran, Jean Serra:
Cost-complexity pruning of random forests. CoRR abs/1703.05430 (2017) - [i2]Bangalore Ravi Kiran, Senthil Kumar Yogamani:
Real-Time Background Subtraction Using Adaptive Sampling and Cascade of Gaussians. CoRR abs/1705.09339 (2017) - 2016
- [c10]Bangalore Ravi Kiran, Bogdan Stanciulescu, Jesús Angulo:
Unsupervised Clustering of Hyperspectral Images of Brain Tissues by Hierarchical Non-negative Matrix Factorization. BIOIMAGING 2016: 77-84 - [c9]Jean Serra, Bangalore Ravi Kiran:
Digitization of Partitions and Tessellations. DGCI 2016: 323-334 - 2015
- [c8]Bangalore Ravi Kiran, Jean Serra:
Braids of Partitions. ISMM 2015: 217-228 - [c7]Jean Serra, Bangalore Ravi Kiran:
Constrained Optimization on Hierarchies and Braids of Partitions. ISMM 2015: 229-240 - 2014
- [b1]Bangalore Ravi Kiran:
Energetic-lattice based optimization. (L'optimization par trellis-énergetique). University of Paris-Est, France, 2014 - [j2]Bangalore Ravi Kiran, Jean Serra:
Global-local optimizations by hierarchical cuts and climbing energies. Pattern Recognit. 47(1): 12-24 (2014) - [j1]Bangalore Ravi Kiran, Jean Serra:
Fusion of ground truths and hierarchies of segmentations. Pattern Recognit. Lett. 47: 63-71 (2014) - [c6]Jean Serra, Bangalore Ravi Kiran:
Energetic lattice for optimizing over hierarchies of partitions. ICIP 2014: 4857-4861 - 2013
- [c5]Bangalore Ravi Kiran, Jean Serra:
Ground Truth Energies for Hierarchies of Segmentations. ISMM 2013: 123-134 - [c4]Jean Serra, Bangalore Ravi Kiran:
Optima on Hierarchies of Partitions. ISMM 2013: 147-158 - [c3]Bangalore Ravi Kiran, Jean Serra:
Scale Space Operators on Hierarchies of Segmentations. SSVM 2013: 331-342 - 2012
- [c2]Jean Serra, Bangalore Ravi Kiran, Jean Cousty:
Hierarchies and Climbing Energies. CIARP 2012: 821-828 - [c1]Bangalore Ravi Kiran, Jean Serra, Jean Cousty:
Climbing: A Unified Approach for Global Constraints on Hierarchical Segmentation. ECCV Workshops (3) 2012: 324-334 - [i1]Jean Serra, Bangalore Ravi Kiran:
Climbing on Pyramids. CoRR abs/1204.5383 (2012)
Coauthor Index
aka: Jean Serra
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last updated on 2024-06-24 20:15 CEST by the dblp team
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