Kanakis, Menelaos

9 publications

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

WACV 2023 Efficient Visual Tracking with Exemplar Transformers Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool

CVPRW 2023 ZippyPoint: Fast Interest Point Detection, Description, and Matching Through Mixed Precision Discretization Menelaos Kanakis, Simon Maurer, Matteo Spallanzani, Ajad Chhatkuli, Luc Van Gool

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

CVPR 2021 Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool

ICCV 2021 Task Switching Network for Multi-Task Learning Guolei Sun, Thomas Probst, Danda Pani Paudel, Nikola Popović, Menelaos Kanakis, Jagruti Patel, Dengxin Dai, Luc Van Gool

CVPRW 2020 Domain Agnostic Feature Learning for Image and Video Based Face Anti-Spoofing Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool

ECCV 2020 Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool

ICML 2020 T-Basis: A Compact Representation for Neural Networks Anton Obukhov, Maxim Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool