Functional networks of anatomic brain regions. - Burak Velioglu; Emre Aksan; Itir Onal; Orhan Firat; Mete Ozay; Fatos T. Yarman-Vural (ICCI*CC, 2014)

Modeling the Brain Connectivity for Pattern Analysis. - Itir Onal; Emre Aksan; Burak Velioglu; Orhan Firat; Mete Ozay; Ilke Öztekin; Fatos T. Yarman-Vural (ICPR, 2014)

Estimating brain connectivity for pattern analysis. - Itir Önal; Emre Aksan; Burak Velioglu; Orhan Firat; Mete Ozay; Like Oztekin; Fatos T. Yarman-Vural (SIU, 2014)

Learning Deep Temporal Representations for fMRI Brain Decoding. - Orhan Firat; Emre Aksan; Ilke Öztekin; Fatos T. Yarman-Vural (MLMMI@ICML, 2015)

Bilişsel durum analizi i in beyin Aği modeli. - Itir Onal; Emre Aksan; Burak Velioglu; Orhan Firat; Mete Ozay; Fatos T. Yarman-Vural (SIU, 2015)

Learning Human Motion Models for Long-Term Predictions. - Partha Ghosh; Jie Song 006; Emre Aksan; Otmar Hilliges (3DV, 2017)

Guiding InfoGAN with Semi-supervision. - Adrian Spurr; Emre Aksan; Otmar Hilliges (ECML/PKDD (1), 2017)

DeepWriting: Making Digital Ink Editable via Deep Generative Modeling. - Emre Aksan; Fabrizio Pece; Otmar Hilliges (CHI, 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)

Structured Prediction Helps 3D Human Motion Modelling. - Emre Aksan; Manuel Kaufmann; Otmar Hilliges (ICCV, 2019)

STCN: Stochastic Temporal Convolutional Networks. - Emre Aksan; Otmar Hilliges (ICLR (Poster), 2019)

Convolutional Autoencoders for Human Motion Infilling. - Manuel Kaufmann; Emre Aksan; Jie Song 006; Fabrizio Pece; Remo Ziegler; Otmar Hilliges (3DV, 2020)

Towards End-to-End Video-Based Eye-Tracking. - Seonwook Park; Emre Aksan; Xucong Zhang; Otmar Hilliges (ECCV (12), 2020)

CoSE: Compositional Stroke Embeddings. - Emre Aksan; Thomas Deselaers; Andrea Tagliasacchi; Otmar Hilliges (NeurIPS, 2020)

Learning Functionally Decomposed Hierarchies for Continuous Control Tasks. - Lukás Jendele; Sammy Joe Christen; Emre Aksan; Otmar Hilliges (CoRR, 2020)

The DIDI dataset: Digital Ink Diagram data. - Philippe Gervais; Thomas Deselaers; Emre Aksan; Otmar Hilliges (CoRR, 2020)

Attention, please: A Spatio-temporal Transformer for 3D Human Motion Prediction. - Emre Aksan; Peng Cao; Manuel Kaufmann; Otmar Hilliges (CoRR, 2020)

A Spatio-temporal Transformer for 3D Human Motion Prediction. - Emre Aksan; Manuel Kaufmann; Peng Cao; Otmar Hilliges (3DV, 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)

Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors. - Xi Wang 021; Gen Li 010; Yen-Ling Kuo; Muhammed Kocabas; Emre Aksan; Otmar Hilliges (3DV, 2022)

D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions. - Sammy Joe Christen; Muhammed Kocabas; Emre Aksan; Jemin Hwangbo; Jie Song 006; Otmar Hilliges (CVPR, 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 (ECCV (26), 2022)

Learning Representations for Generative Modeling of Human Dynamics. - Emre Aksan (2022)

Physically Plausible Full-Body Hand-Object Interaction Synthesis. - Jona Braun; Sammy Joe Christen; Muhammed Kocabas; Emre Aksan; Otmar Hilliges (3DV, 2024)

Optimizing Diffusion Noise Can Serve As Universal Motion Priors. - Korrawe Karunratanakul; Konpat Preechakul; Emre Aksan; Thabo Beeler; Supasorn Suwajanakorn; Siyu Tang 001 (CVPR, 2024)