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06/05/2023
Reassembling Broken Objects using Breaking Curves
Reassembling 3D broken objects is a challenging task. A robust solution ...
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01/04/2021
Identifying centres of interest in paintings using alignment and edge detection: Case studies on works by Luc Tuymans
What is the creative process through which an artist goes from an origin...
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12/20/2020
Transductive Visual Verb Sense Disambiguation
Verb Sense Disambiguation is a well-known task in NLP, the aim is to fin...
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09/28/2020
Neural Networks based approaches for Major Depressive Disorder and Bipolar Disorder Diagnosis using EEG signals: A review
Mental disorders represent critical public health challenges as they are...
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01/17/2020
CHAOS Challenge – Combined (CT-MR) Healthy Abdominal Organ Segmentation
Segmentation of abdominal organs has been a comprehensive, yet unresolve...
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09/20/2019
Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets
The availability of large-scale data sets is an essential pre-requisite ...
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05/06/2019
Unsupervised Domain Adaptation using Graph Transduction Games
Unsupervised domain adaptation (UDA) amounts to assigning class labels t...
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01/16/2019
Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students
We propose a multimodal approach for detection of students' behavioral e...
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01/15/2019
Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data
To investigate the detection of students' behavioral engagement (On-Task...
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01/12/2019
The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students
The development of real-time affect detection models often depends upon ...
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10/15/2018
Compressively Sensed Image Recognition
Compressive Sensing (CS) theory asserts that sparse signal reconstructio...
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10/02/2018