Menelaos Kanakis

27 papers A* 4A 4Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	Breathing New Life into 3D Assets with Generative Repainting. BMVC Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov
2023	J	`jnl`	Breathing New Life into 3D Assets with Generative Repainting. CoRR Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov
2023	A	`conf`	Composite Learning for Robust and Effective Dense Predictions. WACV Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool
2023	—	`—`	Designing Efficient Deep Neural Networks: Topological Optimization, Quantization and Multi-Task Learning. Menelaos Kanakis
2023	A	`conf`	Efficient Visual Tracking with Exemplar Transformers. WACV Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool
2023	J	`jnl`	Long-Term Invariant Local Features via Implicit Cross-Domain Correspondences. CoRR Zador Pataki, Mohammad Altillawi, Menelaos Kanakis, Rémi Pautrat, Fengyi Shen, Ziyuan Liu, Luc Van Gool, Marc Pollefeys
2023	J	`jnl`	Residual Learning for Image Point Descriptors. CoRR Rashik Shrestha, Ajad Chhatkuli, Menelaos Kanakis, Luc Van Gool
2023	—	`conf`	ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization. CVPR Workshops Menelaos Kanakis, Simon Maurer, Matteo Spallanzani, Ajad Chhatkuli, Luc Van Gool
2022	J	`jnl`	Composite Learning for Robust and Effective Dense Predictions. CoRR Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool
2022	J	`jnl`	ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization. CoRR Simon Maurer, Menelaos Kanakis, Matteo Spallanzani, Ajad Chhatkuli, Luc Van Gool
2021	J	`jnl`	Cardiac Output Estimation: Online Implementation for Left Ventricular Assist Device Support. IEEE Trans. Biomed. Eng. Anastasios Petrou, Menelaos Kanakis, Konstantinos Magkoutas, Bob de Vries, Mirko Meboldt, Marianne Schmid Daners
2021	J	`jnl`	Efficient Visual Tracking with Exemplar Transformers. CoRR Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool
2021	A*	`conf`	Exploring Relational Context for Multi-Task Dense Prediction. ICCV David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool
2021	J	`jnl`	Exploring Relational Context for Multi-Task Dense Prediction. CoRR David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool
2021	A*	`conf`	Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation. CVPR Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool
2021	J	`jnl`	Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation. CoRR Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool
2021	A*	`conf`	Task Switching Network for Multi-task Learning. ICCV Guolei Sun, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Menelaos Kanakis, Jagruti Patel, Dengxin Dai, Luc Van Gool
2020	A	`conf`	Automated Search for Resource-Efficient Branched Multi-Task Networks. BMVC David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool
2020	J	`jnl`	Automated Search for Resource-Efficient Branched Multi-Task Networks. CoRR David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool
2020	—	`conf`	Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing. CVPR Workshops Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool
2020	—	`conf`	Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference. ECCV (20) Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool
2020	J	`jnl`	Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference. CoRR Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool
2020	A*	`conf`	T-Basis: a Compact Representation for Neural Networks. ICML Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool
2020	J	`jnl`	T-Basis: a Compact Representation for Neural Networks. CoRR Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool
2019	J	`jnl`	Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing. CoRR Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool
2018	J	`jnl`	Viscosity Prediction in a Physiologically Controlled Ventricular Assist Device. IEEE Trans. Biomed. Eng. Anastasios Petrou, Menelaos Kanakis, Stefan Boes, Panagiotis Pergantis, Mirko Meboldt, Marianne Schmid Daners
2017	—	`conf`	Robots testing robots: ALAN-Arm, a humanoid arm for the testing of robotic rehabilitation systems. ICORR Jack Brookes, Maksims Kuznecovs, Menelaos Kanakis, Arturs Grigals, Mazvydas Narvidas, Justin F. Gallagher, Martin Levesley