| Learning human motion models for long-term predictions P Ghosh, J Song, E Aksan, O Hilliges 2017 International Conference on 3D Vision (3DV), 458-466, 2017 | 96 | 2017 |
| Deep inertial poser: learning to reconstruct human pose from sparse inertial measurements in real time Y Huang, M Kaufmann, E Aksan, MJ Black, O Hilliges, G Pons-Moll ACM Transactions on Graphics (TOG) 37 (6), 1-15, 2018 | 47 | 2018 |
| Guiding infogan with semi-supervision A Spurr, E Aksan, O Hilliges Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 27 | 2017 |
| Deepwriting: Making digital ink editable via deep generative modeling E Aksan, F Pece, O Hilliges Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018 | 21 | 2018 |
| Stcn: Stochastic temporal convolutional networks E Aksan, O Hilliges International Conference on Learning Representations (ICLR 2019), 2019 | 18 | 2019 |
| Structured prediction helps 3d human motion modelling E Aksan, M Kaufmann, O Hilliges Proceedings of the IEEE International Conference on Computer Vision, 7144-7153, 2019 | 18 | 2019 |
| Learning deep temporal representations for fMRI brain decoding O Firat, E Aksan, I Oztekin, FTY Vural Medical Learning Meets Medical Imaging, 25-34, 2015 | 10* | 2015 |
| Large scale functional connectivity for brain decoding O Firat, I Onal, E Aksan, B Velioglu, I Oztekin, FTY Vural 11 th IASTED International Conference on Biomedical Engineering (BioMed), 2014 | 5 | 2014 |
| Modeling the brain connectivity for pattern analysis I Onal, E Aksan, B Velioglu, O Firat, M Ozay, I Oztekin, FTY Vural 2014 22nd International Conference on Pattern Recognition, 3339-3344, 2014 | 2 | 2014 |
| Functional networks of anatomic brain regions B Velioglu, E Aksan, I Onal, O Firat, M Ozay, FTY Vural 2014 IEEE 13th International Conference on Cognitive Informatics and …, 2014 | 2 | 2014 |
| A Spatio-temporal Transformer for 3D Human Motion Prediction E Aksan, P Cao, M Kaufmann, O Hilliges arXiv preprint arXiv:2004.08692, 2020 | 1 | 2020 |
| Convolutional Autoencoders for Human Motion Infilling M Kaufmann, E Aksan, J Song, F Pece, R Ziegler, O Hilliges arXiv preprint arXiv:2010.11531, 2020 | | 2020 |
| Towards End-to-end Video-based Eye-Tracking S Park, E Aksan, X Zhang, O Hilliges European Conference on Computer Vision, 747-763, 2020 | | 2020 |
| The DIDI dataset: Digital Ink Diagram data P Gervais, T Deselaers, E Aksan, O Hilliges arXiv preprint arXiv:2002.09303, 2020 | | 2020 |
| Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning S Christen, L Jendele, E Aksan, O Hilliges arXiv e-prints, arXiv: 2002.05954, 2020 | | 2020 |
| CoSE: Compositional Stroke Embeddings E Aksan, T Deselaers, A Tagliasacchi, O Hilliges Advances in Neural Information Processing Systems 33, 2020 | | 2020 |
| An fMRI segmentation method under markov random fields for brain decoding E Aksan MIDDLE EAST TECHNICAL UNIVERSITY, 2015 | | 2015 |
| Bilişsel durum analizi i~ in beyin Aği modeli I Onal, E Aksan, B Velioglu, O Firat, M Ozay, FTY Vural 2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015 | | 2015 |
| Yerel Voksel Ağları ile Beyin Sinyalleri Kullanarak Bilişsel Süreçlerin Modellenmesi ve Otomatik Olarak Sınıflandırılması FT Yarman Vural, Ö Ekmekci, B Velioğlu, I Önal Ertuğrul, O Firat, E Aksan | | 2014 |
| Estimating brain connectivity for pattern analysis I Onal, E Aksan, B Velioglu, O Firat, M Ozay, L Oztekin, FTY Vural 2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014 | | 2014 |
Otmar HilligesAssociate Professor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
