B. Ravi Kiran

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Object Detection

Hyperspectral Imaging

Active Learning

Autonomous Driving

Top Venues

IEEE Robotics Autom. Lett.

VISIGRAPP (Revised Selected Papers)

Publications

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 (2024)
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 (2024)
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) (2023)
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)
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)
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 (2022)
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)
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) (2022)
Sugirtha T, Sridevi M, Khailash Santhakumar, B. Ravi Kiran, Thomas Gauthier, Senthil Kumar Yogamani
Exploring 2D Data Augmentation for 3D Monocular Object Detection. CoRR (2021)
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 (2020)
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)
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 (2019)
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) (2018)
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)
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 (2018)
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 (2018)
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) (2018)