output
20082026
most citedDevelopment of a Soft Actor Critic Deep Reinforcement Learning Approach for Harnessing Energy Flexibility in a Large Office Building

60 citations

Showing cs.CVShow all

9 papers · 1 filter

cs.CV2026

DyABD: The Abdominal Muscle Segmentation in Dynamic MRI Benchmark

Niamh Belton, Victoria Joppin, Aonghus Lawlor +4

This work introduces DyABD, a novel and complex benchmark dataset of dynamic abdominal MRIs from patients with abdominal hernias and associated high quality abdominal muscle annota…

cs.CV2024★ 6 cited

Enhancing coastal water body segmentation with Landsat Irish Coastal Segmentation (LICS) dataset

Conor O'Sullivan, Ambrish Kashyap, Seamus Coveney +2

Ireland's coastline, a critical and dynamic resource, is facing challenges such as erosion, sedimentation, and human activities. Monitoring these changes is a complex task we appro…

cs.CV2024★ 9 cited

The Effectiveness of Edge Detection Evaluation Metrics for Automated Coastline Detection

Conor O'Sullivan, Seamus Coveney, Xavier Monteys +1

We analyse the effectiveness of RMSE, PSNR, SSIM and FOM for evaluating edge detection algorithms used for automated coastline detection. Typically, the accuracy of detected coastl…

cs.CV2024★ 8 cited

Automated Coastline Extraction Using Edge Detection Algorithms

Conor O'Sullivan, Seamus Coveney, Xavier Monteys +1

We analyse the effectiveness of edge detection algorithms for the purpose of automatically extracting coastlines from satellite images. Four algorithms - Canny, Sobel, Scharr and P…

cs.CV2024

Scalable and Efficient Hierarchical Visual Topological Mapping

Saravanabalagi Ramachandran, Jonathan Horgan, Ganesh Sistu +1

Hierarchical topological representations can significantly reduce search times within mapping and localization algorithms. Although recent research has shown the potential for such…

cs.CV2024★ 26 cited

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

Daniel Jakab, Brian Michael Deegan, Sushil Sharma +6

In this paper, we provide a survey on automotive surround-view fisheye optics, with an emphasis on the impact of optical artifacts on computer vision tasks in autonomous driving an…