158 citations · 548 across the 24 of their papers we have counts for
10 papers · 1 filter
Subjective Quality Assessment of Ground-based Camera Images
Lucie Lévêque, Soumyabrata Dev, Murhaf Hossari +2
Image quality assessment is critical to control and maintain the perceived quality of visual content. Both subjective and objective evaluations can be utilised, however, subjective…
Predicting Solar Irradiance in Singapore
T. A. Fathima, Vasudevan Nedumpozhimana, Yee Hui Lee +2
Solar irradiance is the primary input for all solar energy generation systems. The amount of available solar radiation over time under the local weather conditions helps to decide…
A Chaotic Approach on Solar Irradiance Forecasting
T. A. Fathima, Vasudevan Nedumpozhimana, Yee Hui Lee +2
We analyse the time series of solar irradiance measurements using chaos theory. The False Nearest Neighbour method (FNN), one of the most common methods of chaotic analysis is used…
Estimating Solar Irradiance Using Sky Imagers
Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee +1
Ground-based whole sky cameras are extensively used for localized monitoring of clouds nowadays. They capture hemispherical images of the sky at regular intervals using a fisheye l…
A Data-Driven Approach for Accurate Rainfall Prediction
Shilpa Manandhar, Soumyabrata Dev, Yee Hui Lee +2
In recent years, there has been growing interest in using Precipitable Water Vapor (PWV) derived from Global Positioning System (GPS) signal delays to predict rainfall. However, th…
CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation
Soumyabrata Dev, Atul Nautiyal, Yee Hui Lee +1
We analyze clouds in the earth's atmosphere using ground-based sky cameras. An accurate segmentation of clouds in the captured sky/cloud image is difficult, owing to the fuzzy boun…
Recognition of Advertisement Emotions with Application to Computational Advertising
Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3
Advertisements (ads) often contain strong affective content to capture viewer attention and convey an effective message to the audience. However, most computational affect recognit…
Multi-label Cloud Segmentation Using a Deep Network
Soumyabrata Dev, Shilpa Manandhar, Yee Hui Lee +1
Different empirical models have been developed for cloud detection. There is a growing interest in using the ground-based sky/cloud images for this purpose. Several methods exist t…
Predicting GPS-based PWV Measurements Using Exponential Smoothing
Shilpa Manandhar, Soumyabrata Dev, Yee Hui Lee +1
Global Positioning System (GPS) derived precipitable water vapor (PWV) is extensively being used in atmospheric remote sensing for applications like rainfall prediction. Many appli…
Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions
Yasin Yazıcı, Bruno Lecouat, Chuan-Sheng Foo +4
We propose a GAN design which models multiple distributions effectively and discovers their commonalities and particularities. Each data distribution is modeled with a mixture of $…