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Sumanth Chennupati
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2020 – today
- 2024
- [j1]Keval Thaker
, Sumanth Chennupati
Multispectral Deep Neural Network Fusion Method for Low-Light Object Detection. J. Imaging 10(1): 12 (2024) - 2023
- [c13]Shao-Yuan Lo, Poojan Oza, Sumanth Chennupati, Alejandro Galindo, Vishal M. Patel:
Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation. CVPR 2023: 10534-10543 - [i10]Shao-Yuan Lo, Poojan Oza, Sumanth Chennupati, Alejandro Galindo, Vishal M. Patel:
Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation. CoRR abs/2303.14361 (2023) - 2021
- [c12]Sumanth Chennupati, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen:
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation. BMVC 2021: 100 - [c11]Sumanth Chennupati, Venkatraman Narayanan, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh:
Learning Panoptic Segmentation from Instance Contours. ICRA 2021: 9586-9593 - [i9]Sumanth Chennupati, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen:
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation. CoRR abs/2110.09674 (2021) - 2020
- [i8]Sumanth Chennupati, Sai Nooka, Shagan Sah, Raymond W. Ptucha:
Adaptive Hierarchical Decomposition of Large Deep Networks. CoRR abs/2008.00809 (2020) - [i7]Sumanth Chennupati, Venkatraman Narayanan, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh:
Learning Panoptic Segmentation from Instance Contours. CoRR abs/2010.11681 (2020)
2010 – 2019
- 2019
- [c10]Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh:
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning. CVPR Workshops 2019: 11-21 - [c9]Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh:
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning. CVPR Workshops 2019: 1200-1210 - [c8]Ciarán Hughes
DriveSpace: Towards context-aware drivable area detection. Autonomous Vehicles and Machines 2019: 1-9 - [c7]Senthil Kumar Yogamani, Christian Witt, Hazem Rashed, Sanjaya Nayak, Saquib Mansoor, Padraig Varley, Xavier Perrotton, Derek O'Dea, Patrick Pérez, Ciarán Hughes
WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving. ICCV 2019: 9307-9317 - [c6]Ashok Dahal, Jakir Hossen, Sumanth Chennupati, Ganesh Sistu, Kazumi Malhan, Muhammad Amasha, Senthil Kumar Yogamani:
DeepTrailerAssist: Deep Learning Based Trailer Detection, Tracking and Articulation Angle Estimation on Automotive Rear-View Camera. ICCV Workshops 2019: 2339-2346 - [c5]Ganesh Sistu, Isabelle Leang, Sumanth Chennupati, Senthil Kumar Yogamani, Ciarán Hughes
NeurAll: Towards a Unified Visual Perception Model for Automated Driving. ITSC 2019: 796-803 - [c4]Ganesh Sistu, Sumanth Chennupati, Senthil Kumar Yogamani:
Multi-stream CNN based Video Semantic Segmentation for Automated Driving. VISIGRAPP (5: VISAPP) 2019: 173-180 - [c3]Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh:
AuxNet: Auxiliary Tasks Enhanced Semantic Segmentation for Automated Driving. VISIGRAPP (5: VISAPP) 2019: 645-652 - [i6]Ganesh Sistu, Sumanth Chennupati, Senthil Kumar Yogamani:
Multi-stream CNN based Video Semantic Segmentation for Automated Driving. CoRR abs/1901.02511 (2019) - [i5]Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh:
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving. CoRR abs/1901.05808 (2019) - [i4]Ganesh Sistu, Isabelle Leang, Sumanth Chennupati, Stefan Milz, Senthil Kumar Yogamani, Samir A. Rawashdeh:
NeurAll: Towards a Unified Model for Visual Perception in Automated Driving. CoRR abs/1902.03589 (2019) - [i3]Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh:
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning. CoRR abs/1904.08492 (2019) - [i2]Senthil Kumar Yogamani, Ciarán Hughes, Jonathan Horgan, Ganesh Sistu, Padraig Varley, Derek O'Dea, Michal Uricár, Stefan Milz, Martin Simon, Karl Amende, Christian Witt, Hazem Rashed, Sumanth Chennupati, Sanjaya Nayak, Saquib Mansoor, Xavier Perrotton, Patrick Pérez:
WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving. CoRR abs/1905.01489 (2019) - [i1]Pullarao Maddu, Wayne Doherty, Ganesh Sistu, Isabelle Leang, Michal Uricár, Sumanth Chennupati, Hazem Rashed, Jonathan Horgan, Ciarán Hughes, Senthil Kumar Yogamani:
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System. CoRR abs/1912.11066 (2019) - 2016
- [c2]Sumanth Chennupati, Shagan Sah, Sai Nooka, Raymond W. Ptucha:
Hierarchical Decomposition of Large Deep Networks. Computational Imaging 2016: 1-6 - [c1]Sai Prasad Nooka, Sumanth Chennupati, Karthik Veerabhadra, Shagan Sah, Raymond W. Ptucha:
Adaptive hierarchical classification networks. ICPR 2016: 3578-3583
Coauthor Index
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