Predicting Surface Reflectance Properties of Outdoor Scenes Under Unknown Natural Illumination, IEEE CG&A 2022
appearance modeling

Predicting Surface Reflectance Properties of Outdoor Scenes Under Unknown Natural Illumination, IEEE CG&A 2022

The manuscript “Predicting Surface Reflectance Properties of Outdoor Scenes Under Unknown Natural Illumination” has been accepted for publication as a journal paper at IEEE Computer Graphics & Applications, 2022. The paper is co-authored with Farhan Rahman Wasee, Alen Joy Alen, Charalambos Poullis. Abstract: Estimating and modelling the appearance

Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks, CVIU 2021
semantic segmentation

Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks, CVIU 2021

ICT researcher Bodhiswatta Chatterjee’s journal paper “Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks” is published in Computer Vision and Image Understanding, 2021. The paper is co-authored by Chatterjee B., Poullis C. Abstract: In this paper, we

IEEE Journal of Oceanic Engineering - DeepCaustics: Classification and Removal of Caustics from Underwater Imagery

IEEE Journal of Oceanic Engineering - DeepCaustics: Classification and Removal of Caustics from Underwater Imagery

Our work “DeepCaustics: Classification and Removal of Caustics from Underwater Imagery” will appear as a regular journal publication in IEEE Journal of Oceanic Engineering 2018. This work is co-authored with Timothy Forbes, Mark Goldsmith, Sudhir Mudur, Charalambos Poullis. Abstract: Caustics are complex physical phenomena resulting from the projection

15th Conference on Computer and Robot Vision 2018 - Deep Autoencoders with Aggregated Residual Transformations for Urban Reconstruction from Remote Se

15th Conference on Computer and Robot Vision 2018 - Deep Autoencoders with Aggregated Residual Transformations for Urban Reconstruction from Remote Se

Join us at the 15th Conference on Computer and Robot Vision 2018 ICT lab researcher Timothy Forbes will be presenting our work on “Deep Autoencoders with Aggregated Residual Transformations for Urban Reconstruction from Remote Sensing Data”. This work is co-authored with Timothy Forbes and Charalambos Poullis. Abstract: In