Robots testing robots: ALAN-Arm, a humanoid arm for the testing of robotic rehabilitation systems. - Jack Brookes; Maksims Kuznecovs; Menelaos Kanakis; Arturs Grigals; Mazvydas Narvidas; Justin F. Gallagher; Martin Levesley (ICORR, 2017)

Viscosity Prediction in a Physiologically Controlled Ventricular Assist Device. - Anastasios Petrou; Menelaos Kanakis; Stefan Boes; Panagiotis Pergantis; Mirko Meboldt; Marianne Schmid Daners (IEEE Trans. Biomed. Eng., 2018)

Automated Search for Resource-Efficient Branched Multi-Task Networks. - David Brüggemann; Menelaos Kanakis; Stamatios Georgoulis; Luc Van Gool (BMVC, 2020)

Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing. - Suman Saha 001; Wenhao Xu; Menelaos Kanakis; Stamatios Georgoulis; Yuhua Chen; Danda Pani Paudel; Luc Van Gool (CVPR Workshops, 2020)

Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference. - Menelaos Kanakis; David Brüggemann; Suman Saha 001; Stamatios Georgoulis; Anton Obukhov; Luc Van Gool (ECCV (20), 2020)

T-Basis: a Compact Representation for Neural Networks. - Anton Obukhov; Maxim V. Rakhuba; Stamatios Georgoulis; Menelaos Kanakis; Dengxin Dai; Luc Van Gool (ICML, 2020)

Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation. - Suman Saha 001; Anton Obukhov; Danda Pani Paudel; Menelaos Kanakis; Yuhua Chen; Stamatios Georgoulis; Luc Van Gool (CVPR, 2021)

Exploring Relational Context for Multi-Task Dense Prediction. - David Brüggemann; Menelaos Kanakis; Anton Obukhov; Stamatios Georgoulis; Luc Van Gool (ICCV, 2021)

Task Switching Network for Multi-task Learning. - Guolei Sun; Thomas Probst; Danda Pani Paudel; Nikola Popovic 001; Menelaos Kanakis; Jagruti Patel; Dengxin Dai; Luc Van Gool (ICCV, 2021)

Cardiac Output Estimation: Online Implementation for Left Ventricular Assist Device Support. - Anastasios Petrou; Menelaos Kanakis; Konstantinos Magkoutas; Bob de Vries; Mirko Meboldt; Marianne Schmid Daners (IEEE Trans. Biomed. Eng., 2021)

Breathing New Life into 3D Assets with Generative Repainting. - Tianfu Wang 006; Menelaos Kanakis; Konrad Schindler; Luc Van Gool; Anton Obukhov (BMVC, 2023)

ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization. - Menelaos Kanakis; Simon Maurer; Matteo Spallanzani; Ajad Chhatkuli; Luc Van Gool (CVPR Workshops, 2023)

Efficient Visual Tracking with Exemplar Transformers. - Philippe Blatter; Menelaos Kanakis; Martin Danelljan; Luc Van Gool (WACV, 2023)

Composite Learning for Robust and Effective Dense Predictions. - Menelaos Kanakis; Thomas E. Huang; David Brüggemann; Fisher Yu 001; Luc Van Gool (WACV, 2023)

Long-Term Invariant Local Features via Implicit Cross-Domain Correspondences. - Zador Pataki; Mohammad Altillawi; Menelaos Kanakis; Rémi Pautrat; Fengyi Shen; Ziyuan Liu; Luc Van Gool; Marc Pollefeys (CoRR, 2023)

Residual Learning for Image Point Descriptors. - Rashik Shrestha; Ajad Chhatkuli; Menelaos Kanakis; Luc Van Gool (CoRR, 2023)

Designing Efficient Deep Neural Networks: Topological Optimization, Quantization and Multi-Task Learning. - Menelaos Kanakis (2023)