Yogamani, Senthil Kumar

12 publications

CVPRW 2024 FisheyeBEVSeg: Surround View Fisheye Cameras Based Bird's-Eye View Segmentation for Autonomous Driving Senthil Kumar Yogamani, David Unger, Venkatraman Narayanan, Varun Ravi Kumar

CVPRW 2024 Impact of Video Compression Artifacts on Fisheye Camera Visual Perception Tasks Madhumitha Sakthi, Louis Kerofsky, Varun Ravi Kumar, Senthil Kumar Yogamani

ICCVW 2019 DeepTrailerAssist: Deep Learning Based Trailer Detection, Tracking and Articulation Angle Estimation on Automotive Rear-View Camera Ashok Dahal, Jakir Hossen, Sumanth Chennupati, Ganesh Sistu, Kazumi Malhan, Muhammad Amasha, Senthil Kumar Yogamani

ICCVW 2019 Desoiling Dataset: Restoring Soiled Areas on Automotive Fisheye Cameras Michal Uricár, Ján Ulicný, Ganesh Sistu, Hazem Rashed, Pavel Krízek, David Hurych, Antonín Vobecký, Senthil Kumar Yogamani

ICCVW 2019 FuseMODNet: Real-Time Camera and LiDAR Based Moving Object Detection for Robust Low-Light Autonomous Driving Hazem Rashed, Mohamed Ramzy, Victor Vaquero, Ahmad El Sallab, Ganesh Sistu, Senthil Kumar Yogamani

CVPRW 2019 Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani, Mohamed El-Helw

CVPRW 2019 MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh

CVPRW 2018 A Comparative Study of Real-Time Semantic Segmentation for Autonomous Driving Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Kumar Yogamani, Martin Jägersand, Hong Zhang

CVPRW 2018 Analysis of Efficient CNN Design Techniques for Semantic Segmentation Alexandre Briot, Prashanth Viswanath, Senthil Kumar Yogamani

ECCVW 2018 Real-Time Dynamic Object Detection for Autonomous Driving Using Prior 3D-Maps B. Ravi Kiran, Luis Roldão, Beñat Irastorza, Renzo Verastegui, Sebastian Süss, Senthil Kumar Yogamani, Victor Talpaert, Alexandre Lepoutre, Guillaume Trehard

CVPRW 2018 Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning Stefan Milz, Georg Arbeiter, Christian Witt, Bassam Abdallah, Senthil Kumar Yogamani

CVPRW 2013 Scalable Frame to Block Based Automatic Converter for Efficient Embedded Vision Processing Senthil Kumar Yogamani, B. H. Pawan Prasad, Rajesh Narasimha