27 citations · 64 across the 14 of their papers we have counts for
15 papers
Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets
Yeshwanth Kumar Adimoolam, Charalambos Poullis, Melinos Averkiou
In our study, we conducted a comprehensive analysis of three widely used datasets in the domain of building footprint extraction using deep neural networks: the INRIA Aerial Image…
End-to-End Multi-View Structure-from-Motion with Hypercorrelation Volumes
Qiao Chen, Charalambos Poullis
Image-based 3D reconstruction is one of the most important tasks in Computer Vision with many solutions proposed over the last few decades. The objective is to extract metric infor…
Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction
Naghmeh Shafiee Roudbari, Zachary Patterson, Ursula Eicker +1
In recent years, graph neural networks (GNNs) combined with variants of recurrent neural networks (RNNs) have reached state-of-the-art performance in spatiotemporal forecasting tas…
Unsupervised Structure-Consistent Image-to-Image Translation
Shima Shahfar, Charalambos Poullis
The Swapping Autoencoder achieved state-of-the-art performance in deep image manipulation and image-to-image translation. We improve this work by introducing a simple yet effective…
Motion Estimation for Large Displacements and Deformations
Qiao Chen, Charalambos Poullis
Large displacement optical flow is an integral part of many computer vision tasks. Variational optical flow techniques based on a coarse-to-fine scheme interpolate sparse matches a…
Predicting Human Performance in Vertical Hierarchical Menu Selection in Immersive AR Using Hand-gesture and Head-gaze
Majid Pourmemar, Yashas Joshi, Charalambos Poullis
There are currently limited guidelines on designing user interfaces (UI) for immersive augmented reality (AR) applications. Designers must reflect on their experience designing UI…
SaccadeNet: Towards Real-time Saccade Prediction for Virtual Reality Infinite Walking
Yashas Joshi, Charalambos Poullis
Modern Redirected Walking (RDW) techniques significantly outperform classical solutions. Nevertheless, they are often limited by their heavy reliance on eye-tracking hardware embed…
Adaptive Memory Management for Video Object Segmentation
Ali Pourganjalikhan, Charalambos Poullis
Matching-based networks have achieved state-of-the-art performance for video object segmentation (VOS) tasks by storing every-k frames in an external memory bank for future inferen…
Multi-view Gradient Consistency for SVBRDF Estimation of Complex Scenes under Natural Illumination
Alen Joy, Charalambos Poullis
This paper presents a process for estimating the spatially varying surface reflectance of complex scenes observed under natural illumination. In contrast to previous methods, our p…
Predicting Surface Reflectance Properties of Outdoor Scenes Under Unknown Natural Illumination
Farhan Rahman Wasee, Alen Joy, Charalambos Poullis
Estimating and modelling the appearance of an object under outdoor illumination conditions is a complex process. Although there have been several studies on illumination estimation…
EyeTAP: A Novel Technique using Voice Inputs to Address the Midas Touch Problem for Gaze-based Interactions
Mohsen Parisay, Charalambos Poullis, Marta Kersten
One of the main challenges of gaze-based interactions is the ability to distinguish normal eye function from a deliberate interaction with the computer system, commonly referred to…
Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks
Bodhiswatta Chatterjee, Charalambos Poullis
In this paper we address three different aspects of semantic segmentation from remote sensor data using deep neural networks. Firstly, we focus on the semantic segmentation of buil…
Inattentional Blindness for Redirected Walking Using Dynamic Foveated Rendering
Yashas Joshi, Charalambos Poullis
Redirected walking is a Virtual Reality(VR) locomotion technique which enables users to navigate virtual environments (VEs) that are spatially larger than the available physical tr…
Multi-label Pixelwise Classification for Reconstruction of Large-scale Urban Areas
Yuanlie He, Sudhir Mudur, Charalambos Poullis
Object classification is one of the many holy grails in computer vision and as such has resulted in a very large number of algorithms being proposed already. Specifically in recent…
3DUNDERWORLD-SLS: An Open-Source Structured-Light Scanning System for Rapid Geometry Acquisition
Qing Gu, Kyriakos Herakleous, Charalambos Poullis
Recently, there has been an increase in the demand of virtual 3D objects representing real-life objects. A plethora of methods and systems have already been proposed for the acquis…