Ciarán Eising

Lecturer

University of Limerick

Ireland

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Dr. Ciarán Eising is a Lecturer at the University of Limerick, Ireland. His research areas include zero-shot learning, neural networks, automated vehicle perception, and LiDAR depth correction. He has published articles on topics such as semantic segmentation, trajectory prediction, and DDoS detection in healthcare IoT systems.

Ciarán Eising

Research Interests

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Articles (30)

A Comparison of Spherical Neural Networks for Surround-View Fisheye Image Semantic Segmentation

Zero-Shot Learning for Sustainable Municipal Waste Classification

TokenCutSeg: Label-Efficient Skin Lesion Segmentation by Powering Supervised Refinement With Self-Learned Visual Vocabularies

Analysis of the Impact of Rain on Perception in Automated Vehicle Applications

Leveraging Frozen Foundation Models and Multimodal Fusion for BEV Segmentation and Occupancy Prediction

Low power indirect time of flight near field LiDAR depth correction

MMTraP: Multi-Sensor Multi-Agent Trajectory Prediction in BEV

Segmentation-Based Depth Correction Methods for Near Field iToF LiDAR in Motion State

TCN-Based DDoS Detection and Mitigation in 5G Healthcare-IoT: A Frequency Monitoring and Dynamic Threshold Approach

A Study on Data Selection for Object Detection in Various Lighting Conditions for Autonomous Vehicles

Contamination Detection From Highly Cluttered Waste Scenes Using Computer Vision

Dynamic Filter Application in Graph Convolutional Networks for Enhanced Spectral Feature Analysis and Class Discrimination in Medical Imaging

PatchLoc: Embedded Patch Localization Pretext Task for Tumor Segmentation in Medical Images

Wireless Access for V2X Communications: Research, Challenges and Opportunities

Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges

An Efficient and Effective Image Decolorization Algorithm Based on Cumulative Distribution Function

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

Subjective Scoring Framework for VQA Models in Autonomous Driving

Depth Prediction Improvement for Near-Field iToF Lidar in Low-Speed Motion State

Detecting the Overfilled Status of Domestic and Commercial Bins using Computer Vision

Pedestrian Crossing Intention Forecasting at Unsignalized Intersections Using Naturalistic Trajectories

A Review of the Impact of Rain on Camera-Based Perception in Automated Driving Systems

Feasibility Study of V2X Communications in Initial 5G NR Deployments

Exploring the Viability of Bypassing the Image Signal Processor for CNN-Based Object Detection in Autonomous Vehicles

Surround-View Fisheye Camera Perception for Automated Driving: Overview, Survey & Challenges

Quantifying the Effects of Ground Truth Annotation Quality on Object Detection and Instance Segmentation Performance

UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal

Impact of ISP Tuning on Object Detection

An Online Learning System for Wireless Charging Alignment Using Surround-View Fisheye Cameras

Near-Field Perception for Low-Speed Vehicle Automation Using Surround-View Fisheye Cameras

Collaborators (6)

Eoin Martino Grua

Darragh Mullins

Patrick Denny

Martin Glavin

Pepijn Van de Ven

Brian Deegan

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