Seuraa
Emre Aksan
Emre Aksan
PhD Student, ETH Zurich
Vahvistettu sähköpostiosoite verkkotunnuksessa inf.ethz.ch - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
1762017
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
1342018
Structured prediction helps 3d human motion modelling
E Aksan, M Kaufmann, O Hilliges
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
902019
A spatio-temporal transformer for 3D human motion prediction
E Aksan, M Kaufmann, P Cao, O Hilliges
2021 International Conference on 3D Vision (3DV), 2021
55*2021
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
482018
Guiding infogan with semi-supervision
A Spurr, E Aksan, O Hilliges
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
472017
Stcn: Stochastic temporal convolutional networks
E Aksan, O Hilliges
International Conference on Learning Representations (ICLR 2019), 2019
422019
Towards end-to-end video-based eye-tracking
S Park, E Aksan, X Zhang, O Hilliges
European Conference on Computer Vision, 747-763, 2020
292020
Convolutional autoencoders for human motion infilling
M Kaufmann, E Aksan, J Song, F Pece, R Ziegler, O Hilliges
2020 International Conference on 3D Vision (3DV), 918-927, 2020
282020
Cose: Compositional stroke embeddings
E Aksan, T Deselaers, A Tagliasacchi, O Hilliges
Advances in Neural Information Processing Systems (NeurIPS) 2020 33, 10041 …, 2020
212020
Learning deep temporal representations for fMRI brain decoding
O Firat, E Aksan, I Oztekin, FT Yarman Vural
Medical Learning Meets Medical Imaging, 25-34, 2015
172015
Learning functionally decomposed hierarchies for continuous control tasks with path planning
S Christen, L Jendele, E Aksan, O Hilliges
IEEE Robotics and Automation Letters 6 (2), 3623-3630, 2021
92021
The DIDI dataset: digital ink diagram data
P Gervais, T Deselaers, E Aksan, O Hilliges
arXiv preprint arXiv:2002.09303, 2020
62020
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
62014
D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions
S Christen, M Kocabas, E Aksan, J Hwangbo, J Song, O Hilliges
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022
32022
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
32014
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
32014
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
12014
LiP-Flow: Learning Inference-time Priors for Codec Avatars via Normalizing Flows in Latent Space
E Aksan, S Ma, A Caliskan, S Pidhorskyi, A Richard, SE Wei, J Saragih, ...
arXiv preprint arXiv:2203.07881, 2022
2022
Generative Ink: Data-Driven Computational Models for Digital Ink
E Aksan, O Hilliges
Artificial Intelligence for Human Computer Interaction: A Modern Approach …, 2021
2021
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Artikkelit 1–20