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2020 – today
- 2024
[c19]Jona Braun, Sammy Joe Christen, Muhammed Kocabas, Emre Aksan, Otmar Hilliges:
Physically Plausible Full-Body Hand-Object Interaction Synthesis. 3DV 2024: 464-473- [c18]Korrawe Karunratanakul, Konpat Preechakul, Emre Aksan, Thabo Beeler, Supasorn Suwajanakorn, Siyu Tang:
Optimizing Diffusion Noise Can Serve As Universal Motion Priors. CVPR 2024: 1334-1345 - 2023
- [i17]Jona Braun
, Sammy Joe Christen, Muhammed Kocabas, Emre Aksan, Otmar Hilliges:
Physically Plausible Full-Body Hand-Object Interaction Synthesis. CoRR abs/2309.07907 (2023) - [i16]Korrawe Karunratanakul, Konpat Preechakul, Emre Aksan, Thabo Beeler, Supasorn Suwajanakorn, Siyu Tang:
Optimizing Diffusion Noise Can Serve As Universal Motion Priors. CoRR abs/2312.11994 (2023) - 2022
- [b1]Emre Aksan:
Learning Representations for Generative Modeling of Human Dynamics. ETH Zurich, Zürich, Switzerland, 2022 - [c17]Xi Wang, Gen Li, Yen-Ling Kuo, Muhammed Kocabas, Emre Aksan, Otmar Hilliges:
Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors. 3DV 2022: 353-362 - [c16]Sammy Joe Christen, Muhammed Kocabas, Emre Aksan, Jemin Hwangbo, Jie Song, Otmar Hilliges:
D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions. CVPR 2022: 20545-20554 - [c15]Emre Aksan, Shugao Ma, Akin Caliskan, Stanislav Pidhorskyi, Alexander Richard, Shih-En Wei, Jason M. Saragih, Otmar Hilliges:
LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space. ECCV (26) 2022: 92-110 - [i15]Emre Aksan, Shugao Ma, Akin Caliskan, Stanislav Pidhorskyi, Alexander Richard, Shih-En Wei, Jason M. Saragih, Otmar Hilliges:
LiP-Flow: Learning Inference-time Priors for Codec Avatars via Normalizing Flows in Latent Space. CoRR abs/2203.07881 (2022) - [i14]Xi Wang, Gen Li, Yen-Ling Kuo, Muhammed Kocabas, Emre Aksan, Otmar Hilliges:
Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors. CoRR abs/2209.02485 (2022) - 2021
- [j2]Sammy Joe Christen, Lukás Jendele, Emre Aksan, Otmar Hilliges:
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks With Path Planning. IEEE Robotics Autom. Lett. 6(2): 3623-3630 (2021) - [c14]Emre Aksan, Manuel Kaufmann, Peng Cao, Otmar Hilliges:
A Spatio-temporal Transformer for 3D Human Motion Prediction. 3DV 2021: 565-574 - [i13]Sammy Joe Christen, Muhammed Kocabas, Emre Aksan, Jemin Hwangbo, Jie Song, Otmar Hilliges:
D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions. CoRR abs/2112.03028 (2021) - 2020
- [c13]Manuel Kaufmann, Emre Aksan, Jie Song, Fabrizio Pece, Remo Ziegler, Otmar Hilliges:
Convolutional Autoencoders for Human Motion Infilling. 3DV 2020: 918-927 - [c12]Seonwook Park, Emre Aksan, Xucong Zhang, Otmar Hilliges:
Towards End-to-End Video-Based Eye-Tracking. ECCV (12) 2020: 747-763 - [c11]Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi, Otmar Hilliges:
CoSE: Compositional Stroke Embeddings. NeurIPS 2020 - [i12]Lukás Jendele, Sammy Joe Christen, Emre Aksan, Otmar Hilliges:
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks. CoRR abs/2002.05954 (2020) - [i11]Philippe Gervais, Thomas Deselaers, Emre Aksan, Otmar Hilliges:
The DIDI dataset: Digital Ink Diagram data. CoRR abs/2002.09303 (2020) - [i10]Emre Aksan, Peng Cao, Manuel Kaufmann, Otmar Hilliges:
Attention, please: A Spatio-temporal Transformer for 3D Human Motion Prediction. CoRR abs/2004.08692 (2020) - [i9]Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi, Otmar Hilliges:
CoSE: Compositional Stroke Embeddings. CoRR abs/2006.09930 (2020) - [i8]Seonwook Park, Emre Aksan, Xucong Zhang, Otmar Hilliges:
Towards End-to-end Video-based Eye-Tracking. CoRR abs/2007.13120 (2020) - [i7]Manuel Kaufmann, Emre Aksan, Jie Song, Fabrizio Pece, Remo Ziegler, Otmar Hilliges:
Convolutional Autoencoders for Human Motion Infilling. CoRR abs/2010.11531 (2020)
2010 – 2019
- 2019
- [c10]Emre Aksan, Manuel Kaufmann, Otmar Hilliges:
Structured Prediction Helps 3D Human Motion Modelling. ICCV 2019: 7143-7152 - [c9]Emre Aksan, Otmar Hilliges:
STCN: Stochastic Temporal Convolutional Networks. ICLR (Poster) 2019 - [i6]Emre Aksan, Otmar Hilliges:
STCN: Stochastic Temporal Convolutional Networks. CoRR abs/1902.06568 (2019) - [i5]Emre Aksan, Manuel Kaufmann, Otmar Hilliges:
Structured Prediction Helps 3D Human Motion Modelling. CoRR abs/1910.09070 (2019) - 2018
- [j1]Yinghao Huang, Manuel Kaufmann, Emre Aksan, Michael J. Black, Otmar Hilliges, Gerard Pons-Moll:
Deep inertial poser: learning to reconstruct human pose from sparse inertial measurements in real time. ACM Trans. Graph. 37(6): 185 (2018) - [c8]Emre Aksan, Fabrizio Pece, Otmar Hilliges:
DeepWriting: Making Digital Ink Editable via Deep Generative Modeling. CHI 2018: 205 - [i4]Emre Aksan, Fabrizio Pece, Otmar Hilliges:
DeepWriting: Making Digital Ink Editable via Deep Generative Modeling. CoRR abs/1801.08379 (2018) - [i3]Yinghao Huang, Manuel Kaufmann, Emre Aksan, Michael J. Black, Otmar Hilliges, Gerard Pons-Moll:
Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time. CoRR abs/1810.04703 (2018) - 2017
- [c7]Partha Ghosh, Jie Song, Emre Aksan, Otmar Hilliges:
Learning Human Motion Models for Long-Term Predictions. 3DV 2017: 458-466 - [c6]Adrian Spurr, Emre Aksan, Otmar Hilliges:
Guiding InfoGAN with Semi-supervision. ECML/PKDD (1) 2017: 119-134 - [i2]Partha Ghosh, Jie Song, Emre Aksan, Otmar Hilliges:
Learning Human Motion Models for Long-term Predictions. CoRR abs/1704.02827 (2017) - [i1]Adrian Spurr, Emre Aksan, Otmar Hilliges:
Guiding InfoGAN with Semi-Supervision. CoRR abs/1707.04487 (2017) - 2015
- [c5]Orhan Firat, Emre Aksan, Ilke Öztekin, Fatos T. Yarman-Vural:
Learning Deep Temporal Representations for fMRI Brain Decoding. MLMMI@ICML 2015: 25-34 - [c4]Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural:
Bilişsel durum analizi i~in beyin Aği modeli. SIU 2015: 1688-1692 - 2014
- [c3]Burak Velioglu, Emre Aksan, Itir Onal, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural:
Functional networks of anatomic brain regions. ICCI*CC 2014: 53-60 - [c2]Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Ilke Öztekin, Fatos T. Yarman-Vural:
Modeling the Brain Connectivity for Pattern Analysis. ICPR 2014: 3339-3344 - [c1]Itir Önal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Like Oztekin, Fatos T. Yarman-Vural:
Estimating brain connectivity for pattern analysis. SIU 2014: 1806-1809
Coauthor Index
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