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ORCIDBangalore 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, B. Ravi Kiran:
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, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Kumar Yogamani, Patrick Pérez:
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, B. Ravi Kiran, Thomas Paul, Andrés Serna, Nagarjuna Vemuri, Beatriz Marcotegui, Santiago Velasco-Forero:
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles. CoRR abs/2005.13102 (2020)
2010 – 2019
- 2019
- [j5]Himar Fabelo, Samuel Ortega, Adam Szolna, Diederik Bulters, Juan F. Piñeiro, Silvester Kabwama, Aruma J. O'Shanahan, Harry Bulstrode, Sara Bisshopp, Bangalore Ravi Kiran, Daniele Ravì, Raquel Lazcano, Daniel Madroñal, Coralia Sosa, Carlos Espino Palma, Mariano Márquez, Maria De La Luz Plaza, Rafael Camacho, David Carrera, María Hernández, Gustavo Marrero Callicó, Jesús Morera, Bogdan Stanciulescu, Guang-Zhong Yang, Rubén Salvador, Eduardo Juárez Martínez, César Sanz, Roberto Sarmiento:
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, Samuel Ortega, Raquel Lazcano, Daniel Madroñal, Gustavo Marrero Callicó, Eduardo Juárez, Rubén Salvador, Diederik Bulters, Harry Bulstrode, Adam Szolna, Juan F. Piñeiro, Coralia Sosa, Aruma J. O'Shanahan, Sara Bisshopp, María Hernández, Jesús Morera, Daniele Ravì, B. Ravi Kiran, Aurelio Vega, Abelardo Báez-Quevedo, Guang-Zhong Yang, Bogdan Stanciulescu, Roberto Sarmiento:
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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