Emre Aksan
Title
Cited by
Cited by
Year
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
1352017
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
892018
Structured prediction helps 3d human motion modelling
E Aksan, M Kaufmann, O Hilliges
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
452019
Guiding infogan with semi-supervision
A Spurr, E Aksan, O Hilliges
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
382017
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
332018
Stcn: Stochastic temporal convolutional networks
E Aksan, O Hilliges
International Conference on Learning Representations (ICLR 2019), 2019
282019
A Spatio-temporal Transformer for 3D Human Motion Prediction
E Aksan, P Cao, M Kaufmann, O Hilliges
arXiv preprint arXiv:2004.08692, 2020
132020
Towards end-to-end video-based eye-tracking
S Park, E Aksan, X Zhang, O Hilliges
European Conference on Computer Vision, 747-763, 2020
112020
Learning deep temporal representations for fMRI brain decoding
O Firat, E Aksan, I Oztekin, FTY Vural
Medical Learning Meets Medical Imaging, 25-34, 2015
11*2015
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
92020
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
Cose: Compositional stroke embeddings
E Aksan, T Deselaers, A Tagliasacchi, O Hilliges
arXiv preprint arXiv:2006.09930, 2020
42020
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
32021
The DIDI dataset: digital ink diagram data
P Gervais, T Deselaers, E Aksan, O Hilliges
arXiv preprint arXiv:2002.09303, 2020
32020
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
Yerel Voksel Ağları Ile Beyin Verisi Üzerinden Bilişsel Süreçlerin Modellenmesi Ve Otomatik Olarak Tanınması
FT VURAL, İ ÖZTEKİN, E AKSAN, B VELİOĞLU, A AFRASİYABİ, S ALKAN
2015
Bilişsel durum analizi için beyin ağı modeli
I Onal, E Aksan, B Velioglu, O Firat, M Ozay, FTY Vural
2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015
2015
An fMRI segmentation method under markov random fields for brain decoding
E Aksan
2015
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