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20162024
most citedA Data-Driven Approach for Accurate Rainfall Prediction

158 citations · 389 across the 49 of their papers we have counts for

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24 papers · 1 filter

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.CV2022

DMCNet: Diversified Model Combination Network for Understanding Engagement from Video Screengrabs

Sarthak Batra, Hewei Wang, Avishek Nag +4

Engagement is an essential indicator of the Quality-of-Learning Experience (QoLE) and plays a major role in developing intelligent educational interfaces. The number of people lear…

cs.CV2021

Detecting Blurred Ground-based Sky/Cloud Images

Mayank Jain, Navya Jain, Yee Hui Lee +2

Ground-based whole sky imagers (WSIs) are being used by researchers in various fields to study the atmospheric events. These ground-based sky cameras capture visible-light images o…

cs.CV2021

Using GANs to Augment Data for Cloud Image Segmentation Task

Mayank Jain, Conor Meegan, Soumyabrata Dev

While cloud/sky image segmentation has extensive real-world applications, a large amount of labelled data is needed to train a highly accurate models to perform the task. Scarcity…