| Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference M Kanakis, D Bruggemann, S Saha, S Georgoulis, A Obukhov, ... European Conference on Computer Vision (ECCV), 2020 | 50 | 2020 |
| Automated Search for Resource-Efficient Branched Multi-Task Networks D Bruggemann, M Kanakis, S Georgoulis, L Van Gool British Machine Vision Conference (BMVC), 2020 | 36 | 2020 |
| Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing S Saha, W Xu, M Kanakis, S Georgoulis, Y Chen, DP Paudel, L Van Gool Computer Vision and Pattern Recognition Workshops (CVPRW), 2020 | 35 | 2020 |
| Exploring Relational Context for Multi-Task Dense Prediction D Bruggemann, M Kanakis, A Obukhov, S Georgoulis, L Van Gool International Conference on Computer Vision (ICCV), 2021 | 33 | 2021 |
| Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation S Saha*, A Obukhov*, DP Paudel, M Kanakis, Y Chen, S Georgoulis, ... Computer Vision and Pattern Recognition (CVPR), 2021 | 32 | 2021 |
| Task Switching Network for Multi-Task Learning G Sun, T Probst, DP Paudel, N Popovic, M Kanakis, J Patel, D Dai, ... International Conference on Computer Vision (ICCV), 2021 | 29 | 2021 |
| Efficient Visual Tracking with Exemplar Transformers P Blatter*, M Kanakis*, M Danelljan, L Van Gool Winter Conference on Applications of Computer Vision (WACV), 2023 | 27 | 2023 |
| T-Basis: a Compact Representation for Neural Networks A Obukhov, M Rakhuba, S Georgoulis, M Kanakis, D Dai, L Van Gool International Conference on Machine Learning (ICML), 2020 | 24 | 2020 |
| Viscosity Prediction in a Physiologically Controlled Ventricular Assist Device A Petrou*, M Kanakis*, S Boes, P Pergantis, M Meboldt, MS Daners, ... IEEE Transactions on Biomedical Engineering (TBME), 2018 | 13 | 2018 |
| Robots testing robots: ALAN-Arm, a humanoid arm for the testing of robotic rehabilitation systems J Brookes, M Kuznecovs, M Kanakis, A Grigals, M Narvidas, J Gallagher, ... IEEE International Conference on Rehabilitation Robotics (ICORR), 2017 | 8 | 2017 |
| Cardiac Output Estimation: Online Implementation for Left Ventricular Assist Device Support A Petrou*, M Kanakis*, K Magkoutas, B De Vries, M Meboldt, ... IEEE Transactions on Biomedical Engineering (TBME), 2020 | 7 | 2020 |
| Composite Learning for Robust and Effective Dense Predictions M Kanakis, TE Huang, D Bruggemann, F Yu, L Van Gool Winter Conference on Applications of Computer Vision (WACV), 2023 | 2 | 2023 |
| ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization M Kanakis*, S Maurer*, M Spallanzani, A Chhatkuli, L Van Gool Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 | 2 | 2023 |
| Designing Efficient Deep Neural Networks: Topological Optimization, Quantization and Multi-Task Learning M Kanakis ETH Zurich, 2023 | 1 | 2023 |
| Breathing New Life into 3D Assets with Generative Repainting T Wang, M Kanakis, K Schindler, L Van Gool, A Obukhov arXiv preprint arXiv:2309.08523, 2023 | | 2023 |
Luc Van Goolprofessor computer vision ETH Zurich,KU Leuven,INSAIT,Head Toyota Lab TRACE @KULÐBestätigte E-Mail-Adresse bei ethz.ch
