| Efficient Visual Tracking with Exemplar Transformers P Blatter*, M Kanakis*, M Danelljan, L Van Gool Winter Conference on Applications of Computer Vision (WACV), 2023 | 111 | 2023 |
| 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 | 99 | 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 | 93 | 2021 |
| Automated Search for Resource-Efficient Branched Multi-Task Networks D Bruggemann, M Kanakis, S Georgoulis, L Van Gool British Machine Vision Conference (BMVC), 2020 | 73 | 2020 |
| 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 | 66 | 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 | 63 | 2021 |
| 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 | 47 | 2020 |
| 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 | 29 | 2020 |
| 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 | 15 | 2023 |
| 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 | 15 | 2018 |
| 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 | 12 | 2023 |
| 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 | 10 | 2020 |
| 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 | 9 | 2017 |
| 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 | 5 | 2023 |
| Designing Efficient Deep Neural Networks: Topological Optimization, Quantization and Multi-Task Learning M Kanakis ETH Zurich, 2023 | 2 | 2023 |
| Residual Learning for Image Point Descriptors R Shrestha, A Chhatkuli, M Kanakis, L Van Gool arXiv preprint arXiv:2312.15471, 2023 | | 2023 |
| Long-Term Invariant Local Features via Implicit Cross-Domain Correspondences Z Pataki, M Altillawi, M Kanakis, R Pautrat, F Shen, Z Liu, L Van Gool, ... arXiv preprint arXiv:2311.03345, 2023 | | 2023 |
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEEmail được xác minh tại insait.ai