Publications

An up-to-date list is available at Google Scholar.

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