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2020 – today
- 2023
[b1]Menelaos Kanakis:
Designing Efficient Deep Neural Networks: Topological Optimization, Quantization and Multi-Task Learning. ETH Zurich, Zürich, Switzerland, 2023- [c12]Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov:
Breathing New Life into 3D Assets with Generative Repainting. BMVC 2023: 405 - [c11]Menelaos Kanakis, Simon Maurer, Matteo Spallanzani, Ajad Chhatkuli, Luc Van Gool:
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization. CVPR Workshops 2023: 6114-6123 - [c10]Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool:
Efficient Visual Tracking with Exemplar Transformers. WACV 2023: 1571-1581 - [c9]Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool:
Composite Learning for Robust and Effective Dense Predictions. WACV 2023: 2298-2307 - [i12]Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov:
Breathing New Life into 3D Assets with Generative Repainting. CoRR abs/2309.08523 (2023) - [i11]Zador Pataki, Mohammad Altillawi, Menelaos Kanakis, Rémi Pautrat, Fengyi Shen, Ziyuan Liu, Luc Van Gool, Marc Pollefeys:
Long-Term Invariant Local Features via Implicit Cross-Domain Correspondences. CoRR abs/2311.03345 (2023) - [i10]Rashik Shrestha, Ajad Chhatkuli, Menelaos Kanakis, Luc Van Gool:
Residual Learning for Image Point Descriptors. CoRR abs/2312.15471 (2023) - 2022
- [i9]Simon Maurer, Menelaos Kanakis, Matteo Spallanzani, Ajad Chhatkuli, Luc Van Gool:
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization. CoRR abs/2203.03610 (2022) - [i8]Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool:
Composite Learning for Robust and Effective Dense Predictions. CoRR abs/2210.07239 (2022) - 2021
- [j2]Anastasios Petrou, Menelaos Kanakis, Konstantinos Magkoutas
, Bob de Vries, Mirko Meboldt, Marianne Schmid Daners:
Cardiac Output Estimation: Online Implementation for Left Ventricular Assist Device Support. IEEE Trans. Biomed. Eng. 68(6): 1990-1998 (2021) - [c8]Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool:
Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation. CVPR 2021: 8197-8207 - [c7]Guolei Sun, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Menelaos Kanakis, Jagruti Patel, Dengxin Dai, Luc Van Gool:
Task Switching Network for Multi-task Learning. ICCV 2021: 8271-8280 - [c6]David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool:
Exploring Relational Context for Multi-Task Dense Prediction. ICCV 2021: 15849-15858 - [i7]David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool:
Exploring Relational Context for Multi-Task Dense Prediction. CoRR abs/2104.13874 (2021) - [i6]Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool:
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation. CoRR abs/2105.07830 (2021) - [i5]Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool:
Efficient Visual Tracking with Exemplar Transformers. CoRR abs/2112.09686 (2021) - 2020
- [c5]David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool:
Automated Search for Resource-Efficient Branched Multi-Task Networks. BMVC 2020 - [c4]Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool:
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing. CVPR Workshops 2020: 3490-3499 - [c3]Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool:
Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference. ECCV (20) 2020: 689-707 - [c2]Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool:
T-Basis: a Compact Representation for Neural Networks. ICML 2020: 7392-7404 - [i4]Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool:
T-Basis: a Compact Representation for Neural Networks. CoRR abs/2007.06631 (2020) - [i3]Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool:
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference. CoRR abs/2007.12540 (2020) - [i2]David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool:
Automated Search for Resource-Efficient Branched Multi-Task Networks. CoRR abs/2008.10292 (2020)
2010 – 2019
- 2019
- [i1]Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool:
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing. CoRR abs/1912.07124 (2019) - 2018
- [j1]Anastasios Petrou, Menelaos Kanakis, Stefan Boes, Panagiotis Pergantis, Mirko Meboldt, Marianne Schmid Daners:
Viscosity Prediction in a Physiologically Controlled Ventricular Assist Device. IEEE Trans. Biomed. Eng. 65(10): 2355-2364 (2018) - 2017
- [c1]Jack Brookes, Maksims Kuznecovs, Menelaos Kanakis, Arturs Grigals, Mazvydas Narvidas, Justin F. Gallagher, Martin Levesley:
Robots testing robots: ALAN-Arm, a humanoid arm for the testing of robotic rehabilitation systems. ICORR 2017: 676-681
Coauthor Index
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