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<h2>Konstantinos Kontras</h2>
<h3>Multimodal Machine Learning</h3>
<h3>
<a href="https://www.esat.kuleuven.be/stadius/research.php?view=BioMed" target="_blank" rel="noopener">
<span>PhD Researcher KU Leuven</span>
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CV
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<p>Welcome, I am Konstantinos and a member of Biomed STADIUS at ESAT, KU Leuven in Belgium as a PhD
researcher. There
along with my supervisors
<a href="https://www.esat.kuleuven.be/stadius/person.php?id=203" target="_blank"
rel="noopener noreferrer">Prof.
Maarten De Vos
</a>,
<a href="https://www.linkedin.com/in/christoschatzichristos/?originalSubdomain=be" target="_blank"
rel="noopener noreferrer">Dr. Christos Chatzichristos
</a> and
<a href="https://www.esat.kuleuven.be/sista/members/suykens.html" target="_blank"
rel="noopener noreferrer">Prof.
Johan Suykens
</a>, we are interested in
<b>Multimodal Fusion
</b> through learning processes.
</p>
<p> In the PhD so far, we have explored multiple multimodal fusion methods in terms of performance and robustness, published the current sota on multimodal sleep staging and we are working the past couple of years on Multimodal Competition.
This competition makes models overfit to one modality underoptimizing the others. Currently working on improving the multimodal training objective and with that obtain significant performance gains.
</p>
<p>Before joining Biomed, I was a part of PSI/Visics group as a master student at the same building working on
uncertainty for autonomous vehicles.
<b>Bayesian Model Average
</b> approximations and the CityScapes dataset was combined to create a pixel-level
<b>Active Learning
</b> schema for semantic segmentation. I had the chance to be supervised with
<a href="https://www.linkedin.com/in/marc-proesmans-a616065/?originalSubdomain=be" target="_blank"
rel="noopener noreferrer">Ir. Mark Proesmas
</a>,
<a href="https://www.linkedin.com/in/jonas-heylen/?originalSubdomain=be" target="_blank"
rel="noopener noreferrer">Ir. Jonas Heylen
</a> and
<a href="https://www.linkedin.com/in/luc-van-gool-1b4a689/?originalSubdomain=ch" target="_blank"
rel="noopener noreferrer">Prof. Luc Van Gool
</a>
</p>
<h3 id="news">News</h3>
<!-- → [Post-doc vacancy](https://vacatures.uva.nl/UvA/job/Postdoctoral-Researcher-on-Deep-Learning-and-Dynamical-Systems%2C-PDEs%2C-for-Science-%282-years%29/750169202/) on Deep Learning for Neural PDE solvers, Dynamical Systems, Science. -->
<p>
<i class="far" aria-hidden="true">✏</i> Nov 2024: Currently writing the PhD Thesis, its time! <br>
<i class="fas fa-award"></i> Nov 2024: <a href="https://www.vscentrum.be/compute" target="_blank"
rel="noopener"><em>VSC Tier-1 Compute Grant
</em></a>- Awarded €40,000 <br>
<i class="fas fa-video" aria-hidden="true"></i> Oct 2024: Seminar on "Multimodal Competition" soon on YouTube <br>
<i class="far" aria-hidden="true">✏</i> Jul 2024: Published the solution in BMVC24 <a href="https://arxiv.org/pdf/2405.07930" target="_blank"
rel="noopener"><em>Improving Multimodal Learning with Multi-Loss Gradient Modulation
</em></a>! <br>
<i class="far fa-times-circle"></i> Jan 2024: CVPR got rejected due to necessity for additional experiments, we kept that to publish it all together with a solution. <br>
<i class="far" aria-hidden="true">✏</i> Nov 2023: Recently submitted to CVPR 2024 doubting the benefits of multimodal learning from scratch. <br>
<i class="fas fa-video" aria-hidden="true"></i>
March 2023: Talk in the <a href="https://www.eppgroup.eu/what-we-do/with-eu-countries/greece/european-health-tech-summit" target="_blank"
rel="noopener"> Health Tech Summit </a> on the role of ML/AI on future health systems. <br>
<i class="far" aria-hidden="true">✏</i>
March 2023: <a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10400520" target="_blank"
rel="noopener"><em>CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities
</em></a> published in IEEE TSNRE.<br>
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<h1 class="hero-title">
CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities
</h1>
<p class="hero-lead" style="margin: 0 auto 0 auto;">
K. Kontras, C. Chatzichristos, J. Suykens, M. De Vos <br> IEEE TSNRE 2024
</p>
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<a href="https://github.com/kkontras/CoRe-Sleep/tree/main" class="btn btn-light btn-lg mt-3"><i
class="fab fa-github" style="padding-right: 10px;"></i>GitHub</a>
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style="margin-left: 6rem; margin-right: 6rem; text-align: center;">
<h1 class="hero-title">
Improving Multimodal Learning with Multi-Loss Gradient Modulation
</h1>
<p class="hero-lead" style="margin: 0 auto 0 auto;">
K. Kontras, C. Chatzichristos, M. Blaschko, M. De Vos <br> BMVC 2024
</p>
<p>
<a href="https://github.com/kkontras/MLB" class="btn btn-light btn-lg mt-3"><i
class="fab fa-github" style="padding-right: 10px;"></i>GitHub</a>
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style="margin-left: 6rem; margin-right: 6rem; text-align: center;">
<h1 class="hero-title">
Multimodal Fusion Balancing Through Game-Theoretic Regularization
</h1>
<p class="hero-lead" style="margin: 0 auto 0 auto;">
K. Kontras, T. Strypsteen, C. Chatzichristos, <br> P.P. Liang, M. Blaschko, M. De Vos <br> ArXiv
</p>
<p>
<a href="https://github.com/kkontras/MCR" class="btn btn-light btn-lg mt-3"><i
class="fab fa-github" style="padding-right: 10px;"></i>GitHub</a>
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<h1 class="mb-0">Publications</h1>
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<div class="pub-list-item view-citation" style="margin-bottom: 1rem">
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10400520"><i class="far fa-file-alt pub-icon" aria-hidden="true"></i></a>
<span class="article-metadata li-cite-author">
<span>Konstantinos Kontras</span>,
<span>Christos Chatzichristos</span>,
<span>Johan Suykens</span>,
<span>Maarten De Vos</span>
</span>
(2023).
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10400520">CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities
</a>.
<em>IEEE TSNRE 2024</em>.
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