Ganesh Sistu

According to our database, Ganesh Sistu authored at least 55 papers between 2018 and 2024.

Collaborative distances:

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

2024

Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving.

Anam Manzoor, Aryan Singh, Ganesh Sistu, Reenu Mohandas, Eoin Martino Grua, Anthony G. Scanlan, Ciarán Eising

CoRR, 2024

MapsTP: HD Map Images Based Multimodal Trajectory Prediction for Automated Vehicles.

Sushil Sharma, Arindam Das, Ganesh Sistu, Mark Halton, Ciarán Eising

CoRR, 2024

Optimizing Visual Question Answering Models for Driving: Bridging the Gap Between Human and Machine Attention Patterns.

Kaavya Rekanar, Martin J. Hayes, Ganesh Sistu, Ciaran Eising

CoRR, 2024

FisheyeDetNet: 360{\deg} Surround view Fisheye Camera based Object Detection System for Autonomous Driving.

Ganesh Sistu, Senthil Kumar Yogamani

CoRR, 2024

Fisheye Camera and Ultrasonic Sensor Fusion For Near-Field Obstacle Perception in Bird's-Eye-View.

Arindam Das, Sudarshan Paul, Niko Scholz, Akhilesh Kumar Malviya, Ganesh Sistu, Ujjwal Bhattacharya, Ciarán Eising

CoRR, 2024

WoodScape Motion Segmentation for Autonomous Driving - CVPR 2023 OmniCV Workshop Challenge.

Saravanabalagi Ramachandran, Nathaniel Cibik, Ganesh Sistu, John McDonald

CoRR, 2024

BEVSeg2GTA: Joint Vehicle Segmentation and Graph Neural Networks for Ego Vehicle Trajectory Prediction in Bird's-Eye-View.

Sushil Sharma, Arindam Das, Ganesh Sistu, Mark Halton, Ciarán Eising

IEEE Access, 2024

Subjective Scoring Framework for VQA Models in Autonomous Driving.

Kaavya Rekanar, Abbirah Ahmed, Reenu Mohandas, Ganesh Sistu, Ciarán Eising, Martin J. Hayes

IEEE Access, 2024

BEVSeg2TP: Surround View Camera Bird's-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction.

Sushil Sharma, Arindam Das, Ganesh Sistu, Mark Halton, Ciarán Eising

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

BEVFastLine: Single Shot Fast BEV Line Detection for Automated Parking Applications.

Praveen Narasappareddygari, Venkatesh Moorthi Karunamoorthy, Shubham Sonarghare, Ganesh Sistu, Prasad Deshpande

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Depth Estimation Using Weighted-Loss and Transfer Learning.

Muhammad Adeel Hafeez, Michael G. Madden, Ganesh Sistu, Ihsan Ullah

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Beyond the Known: Adversarial Autoencoders in Novelty Detection.

Muhammad Asad, Ihsan Ullah, Ganesh Sistu, Michael G. Madden

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Optimizing Ego Vehicle Trajectory Prediction: The Graph Enhancement Approach.

Sushil Sharma, Aryan Singh, Ganesh Sistu, Mark Halton, Ciarán Eising

CoRR, 2023

Self-Supervised Online Camera Calibration for Automated Driving and Parking Applications.

Ciarán Hogan, Ganesh Sistu, Ciarán Eising

CoRR, 2023

Towards a performance analysis on pre-trained Visual Question Answering models for autonomous driving.

Kaavya Rekanar, Ciarán Eising, Ganesh Sistu, Martin J. Hayes

CoRR, 2023

Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle Safety.

Sushil Sharma, Ganesh Sistu, Lucie Yahiaoui, Arindam Das, Mark Halton, Ciarán Eising

CoRR, 2023

Near Field iToF LIDAR Depth Improvement from Limited Number of Shots.

Mena Nagiub, Thorsten Beuth, Ganesh Sistu, Heinrich Gotzig, Ciarán Eising

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Revisiting Modality Imbalance In Multimodal Pedestrian Detection.

Arindam Das, Sudip Das, Ganesh Sistu, Jonathan Horgan, Ujjwal Bhattacharya, Edward Jones, Martin Glavin, Ciarán Eising

Proceedings of the IEEE International Conference on Image Processing, 2023

BEV-MoSeg: Segmenting Moving Objects in Bird's Eye View.

Ajay Kumar Sigatapu, Venkatesh Satagopan, Ganesh Sistu, Ravikant Singh, A. V. Narasimhadhan

Proceedings of the 21st International Conference on Advanced Robotics, 2023

Scalable and Efficient Hierarchical Visual Topological Mapping.

Saravanabalagi Ramachandran, Jonathan Horgan, Ganesh Sistu, John McDonald

Proceedings of the 21st International Conference on Advanced Robotics, 2023

A System for Dense Monocular Mapping with a Fisheye Camera.

Louis Gallagher, Ganesh Sistu, Jonathan Horgan, John B. McDonald

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

2022

Fast and Efficient Scene Categorization for Autonomous Driving using VAEs.

Saravanabalagi Ramachandran, Jonathan Horgan, Ganesh Sistu, John McDonald

CoRR, 2022

Woodscape Fisheye Object Detection for Autonomous Driving - CVPR 2022 OmniCV Workshop Challenge.

Saravanabalagi Ramachandran, Ganesh Sistu, Varun Ravi Kumar, John McDonald, Senthil Kumar Yogamani

CoRR, 2022

Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation.

Arindam Das, Sudip Das, Ganesh Sistu, Jonathan Horgan, Ujjwal Bhattacharya, Edward Jones, Martin Glavin, Ciarán Eising

CoRR, 2022

FisheyeSuperPoint: Keypoint Detection and Description Network for Fisheye Images.

Anna Konrad, Ciarán Eising, Ganesh Sistu, John McDonald, Rudi C. Villing, Senthil Kumar Yogamani

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation.

Pramit Dutta, Ganesh Sistu, Senthil Kumar Yogamani, Edgar Galván, John McDonald

Proceedings of the International Joint Conference on Neural Networks, 2022

Neuroevolutionary multi-objective approaches to trajectory prediction in autonomous vehicles.

Fergal Stapleton, Edgar Galván, Ganesh Sistu, Senthil Kumar Yogamani

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

FisheyePixPro: Self-supervised pretraining using Fisheye images for semantic segmentation.

Ramchandra Cheke, Ganesh Sistu, Ciarán Eising, Pepijn van de Ven, Varun Ravi Kumar, Senthil Kumar Yogamani

Proceedings of the Autonomous Vehicles and Machines 2022, online, January 15-26, 2022, 2022

Multi-lane modelling using convolutional neural networks and conditional random fields.

Ganesh Babu, Ramchandra Cheke, Ganesh Sistu, Senthil Kumar Yogamani

Proceedings of the Autonomous Vehicles and Machines 2022, online, January 15-26, 2022, 2022

Automatic Vehicle Ego Body Extraction for Reducing False Detections in Automated Driving Applications.

Ciarán Hogan, Ganesh Sistu

Proceedings of the Artificial Intelligence and Cognitive Science - 30th Irish Conference, 2022

2021

OmniDet: Surround View Cameras Based Multi-Task Visual Perception Network for Autonomous Driving.

Varun Ravi Kumar, Senthil Kumar Yogamani, Hazem Rashed, Ganesh Sistu, Christian Witt, Isabelle Leang, Stefan Milz, Patrick Mäder

IEEE Robotics Autom. Lett., 2021

Woodscape Fisheye Semantic Segmentation for Autonomous Driving - CVPR 2021 OmniCV Workshop Challenge.

Saravanabalagi Ramachandran, Ganesh Sistu, John McDonald, Senthil Kumar Yogamani

CoRR, 2021

Pseudo-Label Ensemble-based Semi-supervised Learning for Handling Noisy Soiling Segmentation Annotations.

Michal Uricár, Ganesh Sistu, Lucie Yahiaoui, Senthil Kumar Yogamani

CoRR, 2021

Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving.

Michal Uricár, Ganesh Sistu, Hazem Rashed, Antonín Vobecký, Varun Ravi Kumar, Pavel Krízek, Fabian Bürger, Senthil Kumar Yogamani

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline.

Hazem Rashed, Eslam Mohamed, Ganesh Sistu, Varun Ravi Kumar, Ciarán Eising, Ahmad El Sallab, Senthil Kumar Yogamani

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Ensemble-Based Semi-Supervised Learning to Improve Noisy Soiling Annotations in Autonomous Driving.

Michal Uricár, Ganesh Sistu, Lucie Yahiaoui, Senthil Kumar Yogamani

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 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

2020

Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems.

Isabelle Leang, Ganesh Sistu, Fabian Bürger, Andrei Bursuc, Senthil Kumar Yogamani

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric.

Arindam Das, Pavel Krízek, Ganesh Sistu, Fabian Bürger, Sankaralingam Madasamy, Michal Uricár, Varun Ravi Kumar, Senthil Kumar Yogamani

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 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

Let's Get Dirty: GAN Based Data Augmentation for Soiling and Adverse Weather Classification in Autonomous Driving.

Michal Uricár, Ganesh Sistu, Hazem Rashed, Antonín Vobecký, Pavel Krízek, Fabian Bürger, Senthil Kumar Yogamani

CoRR, 2019

FisheyeMODNet: Moving Object detection on Surround-view Cameras for Autonomous Driving.

Marie Yahiaoui, Hazem Rashed, Letizia Mariotti, Ganesh Sistu, Ian Clancy, Lucie Yahiaoui, Varun Ravi Kumar, 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

Real-time Joint Object Detection and Semantic Segmentation Network for Automated Driving.

Ganesh Sistu, Isabelle Leang, Senthil Kumar Yogamani

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

SoilingNet: Soiling Detection on Automotive Surround-View Cameras.

Michal Uricár, Pavel Krízek, Ganesh Sistu, Senthil Kumar Yogamani

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 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

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

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

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

2018

Early Fusion of Dense Optical Flow with Image for Semantic Segmentation in Autonomous Driving.

Prashanth Viswanath, Ganesh Sistu, Mihai Ilie, Senthil Kumar Yogamani, Jonathan Horgan

Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018