Emre Aksan

Orcid: 0000-0002-9836-9011

According to our database1, Emre Aksan authored at least 25 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Optimizing Diffusion Noise Can Serve As Universal Motion Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Physically Plausible Full-Body Hand-Object Interaction Synthesis.
Proceedings of the International Conference on 3D Vision, 2024

2022
Learning Representations for Generative Modeling of Human Dynamics.
PhD thesis, 2022

LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space.
Proceedings of the Computer Vision - ECCV 2022, 2022

D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors.
Proceedings of the International Conference on 3D Vision, 2022

2021
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks With Path Planning.
IEEE Robotics Autom. Lett., 2021

A Spatio-temporal Transformer for 3D Human Motion Prediction.
Proceedings of the International Conference on 3D Vision, 2021

2020
Attention, please: A Spatio-temporal Transformer for 3D Human Motion Prediction.
CoRR, 2020

The DIDI dataset: Digital Ink Diagram data.
CoRR, 2020

Learning Functionally Decomposed Hierarchies for Continuous Control Tasks.
CoRR, 2020

CoSE: Compositional Stroke Embeddings.
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.
Proceedings of the Computer Vision - ECCV 2020, 2020

Convolutional Autoencoders for Human Motion Infilling.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
STCN: Stochastic Temporal Convolutional Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Structured Prediction Helps 3D Human Motion Modelling.
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.
ACM Trans. Graph., 2018

DeepWriting: Making Digital Ink Editable via Deep Generative Modeling.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
Guiding InfoGAN with Semi-supervision.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Learning Human Motion Models for Long-Term Predictions.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2015
Bilişsel durum analizi i~in beyin Aği modeli.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Learning Deep Temporal Representations for fMRI Brain Decoding.
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

2014
Estimating brain connectivity for pattern analysis.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Modeling the Brain Connectivity for Pattern Analysis.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Functional networks of anatomic brain regions.
Proceedings of the IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, 2014


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