Emre Aksan

According to our database, Emre Aksan authored at least 25 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Optimizing Diffusion Noise Can Serve As Universal Motion Priors.

Korrawe Karunratanakul, Konpat Preechakul, Emre Aksan, Thabo Beeler, Supasorn Suwajanakorn, Siyu Tang

CoRR, 2023

Physically Plausible Full-Body Hand-Object Interaction Synthesis.

Jona Braun, Sammy Joe Christen, Muhammed Kocabas, Emre Aksan, Otmar Hilliges

CoRR, 2023

2022

Learning Representations for Generative Modeling of Human Dynamics.

Emre Aksan

PhD thesis, 2022

LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space.

Emre Aksan, Shugao Ma, Akin Caliskan, Stanislav Pidhorskyi, Alexander Richard, Shih-En Wei, Jason M. Saragih, Otmar Hilliges

Proceedings of the Computer Vision - ECCV 2022, 2022

D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions.

Sammy Joe Christen, Muhammed Kocabas, Emre Aksan, Jemin Hwangbo, Jie Song, Otmar Hilliges

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors.

Xi Wang, Gen Li, Yen-Ling Kuo, Muhammed Kocabas, Emre Aksan, Otmar Hilliges

Proceedings of the International Conference on 3D Vision, 2022

2021

Learning Functionally Decomposed Hierarchies for Continuous Control Tasks With Path Planning.

Sammy Joe Christen, Lukás Jendele, Emre Aksan, Otmar Hilliges

IEEE Robotics Autom. Lett., 2021

A Spatio-temporal Transformer for 3D Human Motion Prediction.

Emre Aksan, Manuel Kaufmann, Peng Cao, Otmar Hilliges

Proceedings of the International Conference on 3D Vision, 2021

2020

Attention, please: A Spatio-temporal Transformer for 3D Human Motion Prediction.

Emre Aksan, Peng Cao, Manuel Kaufmann, Otmar Hilliges

CoRR, 2020

The DIDI dataset: Digital Ink Diagram data.

Philippe Gervais, Thomas Deselaers, Emre Aksan, Otmar Hilliges

CoRR, 2020

Learning Functionally Decomposed Hierarchies for Continuous Control Tasks.

Lukás Jendele, Sammy Joe Christen, Emre Aksan, Otmar Hilliges

CoRR, 2020

CoSE: Compositional Stroke Embeddings.

Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi, Otmar Hilliges

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards End-to-End Video-Based Eye-Tracking.

Seonwook Park, Emre Aksan, Xucong Zhang, Otmar Hilliges

Proceedings of the Computer Vision - ECCV 2020, 2020

Convolutional Autoencoders for Human Motion Infilling.

Manuel Kaufmann, Emre Aksan, Jie Song, Fabrizio Pece, Remo Ziegler, Otmar Hilliges

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

STCN: Stochastic Temporal Convolutional Networks.

Emre Aksan, Otmar Hilliges

Proceedings of the 7th International Conference on Learning Representations, 2019

Structured Prediction Helps 3D Human Motion Modelling.

Emre Aksan, Manuel Kaufmann, Otmar Hilliges

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Deep inertial poser: learning to reconstruct human pose from sparse inertial measurements in real time.

Yinghao Huang, Manuel Kaufmann, Emre Aksan, Michael J. Black, Otmar Hilliges, Gerard Pons-Moll

ACM Trans. Graph., 2018

DeepWriting: Making Digital Ink Editable via Deep Generative Modeling.

Emre Aksan, Fabrizio Pece, Otmar Hilliges

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

Guiding InfoGAN with Semi-supervision.

Adrian Spurr, Emre Aksan, Otmar Hilliges

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Learning Human Motion Models for Long-Term Predictions.

Partha Ghosh, Jie Song, Emre Aksan, Otmar Hilliges

Proceedings of the 2017 International Conference on 3D Vision, 2017

2015

Bilişsel durum analizi i~in beyin Aği modeli.

Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Learning Deep Temporal Representations for fMRI Brain Decoding.

Orhan Firat, Emre Aksan, Ilke Öztekin, Fatos T. Yarman-Vural

Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

2014

Estimating brain connectivity for pattern analysis.

Itir Önal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Like Oztekin, Fatos T. Yarman-Vural

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Modeling the Brain Connectivity for Pattern Analysis.

Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Ilke Öztekin, Fatos T. Yarman-Vural

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Functional networks of anatomic brain regions.

Burak Velioglu, Emre Aksan, Itir Onal, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural

Proceedings of the IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, 2014