Sumanth Chennupati

According to our database, Sumanth Chennupati authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multispectral Deep Neural Network Fusion Method for Low-Light Object Detection.

Keval Thaker, Sumanth Chennupati, Nathir A. Rawashdeh, Samir A. Rawashdeh

J. Imaging, January, 2024

2023

Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation.

Shao-Yuan Lo, Poojan Oza, Sumanth Chennupati, Alejandro Galindo, Vishal M. Patel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Learning Panoptic Segmentation from Instance Contours.

Sumanth Chennupati, Venkatraman Narayanan, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation.

Sumanth Chennupati, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Adaptive Hierarchical Decomposition of Large Deep Networks.

Sumanth Chennupati, Sai Nooka, Shagan Sah, Raymond W. Ptucha

CoRR, 2020

2019

FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System.

Pullarao Maddu, Wayne Doherty, Ganesh Sistu, Isabelle Leang, Michal Uricár, Sumanth Chennupati, Hazem Rashed, Jonathan Horgan, Ciarán Hughes, Senthil Kumar Yogamani

CoRR, 2019

NeurAll: Towards a Unified Model for Visual Perception in Automated Driving.

Ganesh Sistu, Isabelle Leang, Sumanth Chennupati, Stefan Milz, Senthil Kumar Yogamani, Samir A. Rawashdeh

CoRR, 2019

Multi-stream CNN based Video Semantic Segmentation for Automated Driving.

Ganesh Sistu, Sumanth Chennupati, Senthil Kumar Yogamani

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

AuxNet: Auxiliary Tasks Enhanced Semantic Segmentation for Automated Driving.

Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

NeurAll: Towards a Unified Visual Perception Model for Automated Driving.

Ganesh Sistu, Isabelle Leang, Sumanth Chennupati, Senthil Kumar Yogamani, Ciarán Hughes, Stefan Milz, Samir A. Rawashdeh

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

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 Pérez, Ciarán Hughes, Jonathan Horgan, Ganesh Sistu, Sumanth Chennupati, Michal Uricár, Stefan Milz, Martin Simon, Karl Amende

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DriveSpace: Towards context-aware drivable area detection.

Ciarán Hughes, Sunil Chandra, Ganesh Sistu, Jonathan Horgan, Brian M. Deegan, Sumanth Chennupati, Senthil Kumar Yogamani

Proceedings of the Autonomous Vehicles and Machines 2019, 2019

MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning.

Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2016

Adaptive hierarchical classification networks.

Sai Prasad Nooka, Sumanth Chennupati, Karthik Veerabhadra, Shagan Sah, Raymond W. Ptucha

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Hierarchical Decomposition of Large Deep Networks.

Sumanth Chennupati, Shagan Sah, Sai Nooka, Raymond W. Ptucha

Proceedings of the Computational Imaging XIV, San Francisco, 2016