Senthil Kumar Yogamani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
10
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | WACV | S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving. | Maciej K. Wozniak, Hariprasath Govindarajan, Marvin Klingner, Camille Maurice, Ravi Kiran, Senthil Kumar Yogamani |
| 2024 | CVPR | Impact of Video Compression Artifacts on Fisheye Camera Visual Perception Tasks. | Madhumitha Sakthi, Louis Kerofsky, Varun Ravi Kumar, Senthil Kumar Yogamani |
| 2024 | CVPR | FisheyeBEVSeg: Surround View Fisheye Cameras based Bird's-Eye View Segmentation for Autonomous Driving. | Senthil Kumar Yogamani, David Unger, Venkatraman Narayanan, Varun Ravi Kumar |
| 2024 | ECCV | LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping. | Nikhil Gosala, Krsat Petek, B. Ravi Kiran, Senthil Kumar Yogamani, Paulo L. J. Drews-Jr, Wolfram Burgard, Abhinav Valada |
| 2024 | IROS | BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation. | Jonas Schramm, Niclas Vdisch, Krsat Petek, Bangalore Ravi Kiran, Senthil Kumar Yogamani, Wolfram Burgard, Abhinav Valada |
| 2023 | CVPR | X | Marvin Klingner, Shubhankar Borse, Varun Ravi Kumar, Behnaz Rezaei, Venkatraman Narayanan, Senthil Kumar Yogamani, Fatih Porikli |
| 2023 | WACV | X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation. | Shubhankar Borse, Marvin Klingner, Varun Ravi Kumar, Hong Cai, Abdulaziz Almuzairee, Senthil Kumar Yogamani, Fatih Porikli |
| 2022 | GECCO | Neuroevolutionary multi-objective approaches to trajectory prediction in autonomous vehicles. | Fergal Stapleton, Edgar Galvn, Ganesh Sistu, Senthil Kumar Yogamani |
| 2022 | IJCNN | ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation. | Pramit Dutta, Ganesh Sistu, Senthil Kumar Yogamani, Edgar Galvn, John McDonald |
| 2022 | IROS | Detecting Adversarial Perturbations in Multi-Task Perception. | Marvin Klingner, Varun Ravi Kumar, Senthil Kumar Yogamani, Andreas Br, Tim Fingscheidt |
| 2021 | ICRA | Learning Panoptic Segmentation from Instance Contours. | Sumanth Chennupati, Venkatraman Narayanan, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh |
| 2021 | WACV | SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. | Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Mder |
| 2021 | WACV | Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline. | Hazem Rashed, Eslam Mohamed, Ganesh Sistu, Varun Ravi Kumar, Ciarn Eising, Ahmad El Sallab, Senthil Kumar Yogamani |
| 2021 | WACV | Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving. | Michal Uricr, Ganesh Sistu, Hazem Rashed, Antonn Vobeck, Varun Ravi Kumar, Pavel Krzek, Fabian Brger, Senthil Kumar Yogamani |
| 2020 | ICRA | FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving. | Varun Ravi Kumar, Sandesh Athni Hiremath, Markus Bach, Stefan Milz, Christian Witt, Clment Pinard, Senthil Kumar Yogamani, Patrick Mder |
| 2020 | IROS | UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models. | Varun Ravi Kumar, Senthil Kumar Yogamani, Markus Bach, Christian Witt, Stefan Milz, Patrick Mder |
| 2019 | CVPR | MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning. | Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh |
| 2019 | CVPR | MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning. | Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh |
| 2019 | CVPR | Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation. | Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani, Mohamed El-Helw |
| 2019 | ICCV | WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving. | Senthil Kumar Yogamani, Christian Witt, Hazem Rashed, Sanjaya Nayak, Saquib Mansoor, Padraig Varley, Xavier Perrotton, Derek O'Dea, Patrick Prez, Ciarn Hughes, Jonathan Horgan, Ganesh Sistu, Sumanth Chennupati, Michal Uricr, Stefan Milz, Martin Simon, Karl Amende |
| 2018 | CVPR | Analysis of Efficient CNN Design Techniques for Semantic Segmentation. | Alexandre Briot, Prashanth Viswanath, Senthil Kumar Yogamani |
| 2018 | CVPR | Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning. | Stefan Milz, Georg Arbeiter, Christian Witt, Bassam Abdallah, Senthil Kumar Yogamani |
| 2018 | CVPR | A Comparative Study of Real-Time Semantic Segmentation for Autonomous Driving. | Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Kumar Yogamani, Martin Jgersand, Hong Zhang |
| 2018 | ECCV | Real-Time Dynamic Object Detection for Autonomous Driving Using Prior 3D-Maps. | B. Ravi Kiran, Luis Roldo, Beat Irastorza, Renzo Verastegui, Sebastian Sss, Senthil Kumar Yogamani, Victor Talpaert, Alexandre Lepoutre, Guillaume Trehard |
| 2018 | ICIP | RTSeg: Real-Time Semantic Segmentation Comparative Study. | Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Kumar Yogamani, Martin Jgersand |
| 2018 | ICPR | Evaluation of Group Convolution in Lightweight Deep Networks for Object Classification. | Arindam Das, Thomas Boulay, Senthil Kumar Yogamani, Shiping Ou |
| 2013 | CVPR | Scalable Frame to Block Based Automatic Converter for Efficient Embedded Vision Processing. | Senthil Kumar Yogamani, B. H. Pawan Prasad, Rajesh Narasimha |