Publications

2022

1. 

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

   Emre Aksan, Shugao Ma, Akin Caliskan, and 5 more authors

   Proceedings of the European Conference on Computer Vision (ECCV) 2022
2. 

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

   Xi Wang, Gen Li, Yen-Ling Kuo, and 3 more authors

   International Conference on 3D Vision (3DV) 2022
3. 

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

   Sammy Christen, Muhammed Kocabas, Emre Aksan, and 3 more authors

   Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022

2021

1. 

   Generative Ink: Data-driven Computational Models for Digital Ink

   Emre Aksan, and Otmar Hilliges

   Artificial Intelligence for Human Computer Interaction: A Modern Approach 2021
2. 

   Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning

   Sammy Christen, Lukas Jendele, Emre Aksan, and 1 more author

   IEEE Robotics and Automation Letters 2021
3. 

   A Spatio-temporal Transformer for 3D Human Motion Prediction

   Emre Aksan, Manuel Kaufmann, Peng Cao, and 1 more author

   International Conference on 3D Vision (3DV) 2021

2020

1. 

   CoSE: Compositional Stroke Embeddings

   Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi, and 1 more author

   Advances in Neural Information Processing Systems (NeurIPS) 2020
2. 

   Convolutional Autoencoders for Human Motion Infilling

   Manuel Kaufmann, Emre Aksan, Jie Song, and 3 more authors

   International Conference on 3D Vision (3DV) 2020
3. 

   Towards End-to-end Video-based Eye-Tracking

   Seonwook Park, Emre Aksan, Xucong Zhang, and 1 more author

   In Proceedings of the European Conference on Computer Vision (ECCV) Aug 2020

2019

1. 

   Structured Prediction Helps 3D Human Motion Modelling

   Emre Aksan*, Manuel Kaufmann*, and Otmar Hilliges

   In The IEEE International Conference on Computer Vision (ICCV) Oct 2019
2. 

   STCN:Stochastic Temporal Convolutional Networks

   Emre Aksan, and Otmar Hilliges

   In International Conference on Learning Representations (ICLR) Oct 2019

2018

1. 

   Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time

   Yinghao Huang, Manuel Kaufmann, Emre Aksan, and 3 more authors

   ACM Transactions on Graphics, (Proc. SIGGRAPH Asia) Oct 2018
2. 

   DeepWriting: Making Digital Ink Editable via Deep Generative Modeling

   Emre Aksan, Fabrizio Pece, and Otmar Hilliges

   In SIGCHI Conference on Human Factors in Computing Systems Oct 2018

2017

1. 

   Learning Human Motion Models for Long-term Predictions

   Partha Ghosh, Jie Song, Emre Aksan, and 1 more author

   In International Conference on 3D Vision (3DV) Oct 2017
2. 

   Guiding InfoGAN with Semi-Supervision

   Adrian Spurr, Emre Aksan, and Otmar Hilliges

   In Joint European Conference on Machine Learning and Knowledge Discovery in Databases Oct 2017

2015

1. 

   Learning Deep Temporal Representations for Brain Decoding

   Orhan Firat, Emre Aksan, Ilke Oztekin, and 1 more author

   In ICML - Medical Imaging Workshop Oct 2015