| WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving S Yogamani, C Hughes, J Horgan, G Sistu, P Varley, D O'Dea, M Uricár, ... Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2019 | 301 | 2019 |
| Multinet++: Multi-stream feature aggregation and geometric loss strategy for multi-task learning S Chennupati, G Sistu, S Yogamani, S A Rawashdeh Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 106 | 2019 |
| NeurAll: Towards a Unified Visual Perception Model for Automated Driving G Sistu, I Leang, S Chennupati, S Yogamani, C Hughes, S Milz, ... 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 796-803, 2019 | 54* | 2019 |
| Auxnet: Auxiliary tasks enhanced semantic segmentation for automated driving S Chennupati, G Sistu, S Yogamani, S Rawashdeh Proceedings of the 14th International Joint Conference on Computer Vision …, 2019 | 52 | 2019 |
| Deeptrailerassist: Deep learning based trailer detection, tracking and articulation angle estimation on automotive rear-view camera A Dahal, J Hossen, C Sumanth, G Sistu, K Malhan, M Amasha, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 29 | 2019 |
| Spatio-temporal pixel-level contrastive learning-based source-free domain adaptation for video semantic segmentation SY Lo, P Oza, S Chennupati, A Galindo, VM Patel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| Fisheyemultinet: Real-time multi-task learning architecture for surround-view automated parking system P Maddu, W Doherty, G Sistu, I Leang, M Uricar, S Chennupati, H Rashed, ... arXiv preprint arXiv:1912.11066, 2019 | 12 | 2019 |
| Learning panoptic segmentation from instance contours S Chennupati, V Narayanan, G Sistu, S Yogamani, SA Rawashdeh 2021 IEEE International Conference on Robotics and Automation (ICRA), 9586-9593, 2021 | 11 | 2021 |
| Drivespace: towards context-aware drivable area detection C Hughes, S Chandra, G Sistu, J Horgan, B Deegan, S Chennupati, ... Electronic Imaging 31, 1-9, 2019 | 10 | 2019 |
| Hierarchical decomposition of large deep networks S Chennupati Rochester Institute of Technology, 2016 | 9 | 2016 |
| Adaptive hierarchical classification networks SP Nooka, S Chennupati, K Veerabhadra, S Sah, R Ptucha 2016 23rd International Conference on Pattern Recognition (ICPR), 3578-3583, 2016 | 8 | 2016 |
| A comparative study of different cnn encoders for monocular depth prediction M Aladem, S Chennupati, Z El-Shair, SA Rawashdeh 2019 IEEE National Aerospace and Electronics Conference (NAECON), 328-331, 2019 | 7 | 2019 |
| Multi-stream cnn based video semantic segmentation for automated driving G Sistu, S Chennupati, S Yogamani Proceedings of the 14th International Joint Conference on Computer Vision …, 2019 | 7 | 2019 |
| Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation S Chennupati, MM Kamani, Z Cheng, L Chen 32nd British Machine Vision Conference, (BMVC), 2021 | 5 | 2021 |
| Adaptive hierarchical decomposition of large deep networks S Chennupati, S Nooka, S Sah, RW Ptucha arXiv preprint arXiv:2008.00809, 2020 | 2 | 2020 |
| Multispectral Deep Neural Network Fusion Method for Low-Light Object Detection K Thaker, S Chennupati, N Rawashdeh, SA Rawashdeh Journal of Imaging 10 (1), 12, 2023 | 1 | 2023 |
| Multi-task Learning for Visual Perception in Automated Driving S Chennupati | | 2021 |
| RIT Digital Institutional Repositor y S Chennupati | | 2016 |
Ganesh SistuDeep Learning Architect, Valeo IrelandVerified email at valeo.com
