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Nikos Deligiannis

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Learned layered coding for Successive Refinement in the Wyner-Ziv Problem

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Nov 06, 2023
Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis

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Holistic Representation Learning for Multitask Trajectory Anomaly Detection

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Nov 03, 2023
Alexandros Stergiou, Brent De Weerdt, Nikos Deligiannis

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Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks

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Aug 17, 2023
Fawaz Sammani, Nikos Deligiannis

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The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data

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Jun 25, 2023
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schon, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Muller, Silvan Mertes, Niklas Schroter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matias Nicolas Bossa, Abel Diaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois

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Leaping Into Memories: Space-Time Deep Feature Synthesis

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Mar 29, 2023
Alexandros Stergiou, Nikos Deligiannis

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Entropy-Based Feature Extraction For Real-Time Semantic Segmentation

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Jul 07, 2022
Lusine Abrahamyan, Nikos Deligiannis

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Representation Learning with Information Theory for COVID-19 Detection

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Jul 04, 2022
Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa, Nikos Deligiannis, Hichem Sahli

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Visualizing and Understanding Self-Supervised Vision Learning

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Jun 20, 2022
Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis

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NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks

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Mar 09, 2022
Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis

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Gradient Variance Loss for Structure-Enhanced Image Super-Resolution

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Feb 02, 2022
Lusine Abrahamyan, Anh Minh Truong, Wilfried Philips, Nikos Deligiannis

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