Judith Bütepage
Judith Bütepage
Research Scientist, Spotify
Verified email at kth.se - Homepage
Title
Cited by
Cited by
Year
Advances in variational inference
C Zhang, J Bütepage, H Kjellström, S Mandt
IEEE transactions on pattern analysis and machine intelligence 41 (8), 2008-2026, 2018
1912018
Deep representation learning for human motion prediction and classification
J Bütepage, M Black, D Kragic, H Kjellström
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
1862017
Joint action: mental representations, shared information and general mechanisms for coordinating with others
C Vesper, E Abramova, J Bütepage, F Ciardo, B Crossey, A Effenberg, ...
Frontiers in Psychology 7, 2039, 2017
652017
Anticipating many futures: Online human motion prediction and generation for human-robot interaction
J Bütepage, H Kjellström, D Kragic
2018 IEEE International Conference on Robotics and Automation (ICRA), 1-9, 2018
42*2018
A sensorimotor reinforcement learning framework for physical human-robot interaction
A Ghadirzadeh, J Bütepage, A Maki, D Kragic, M Björkman
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
292016
Human-robot collaboration: from psychology to social robotics
J Bütepage, D Kragic
arXiv preprint arXiv:1705.10146, 2017
222017
Self-learning and adaptation in a sensorimotor framework
A Ghadirzadeh, J Bütepage, D Kragic, M Björkman
2016 IEEE International Conference on Robotics and Automation (ICRA), 551 - 558, 2016
122016
Black, Danica Kragic, and Hedvig Kjellstrom. 2017. Deep representation learning for human motion prediction and classification
J Butepage, J Michael
Proceedings of the IEEE conference on computer vision and pattern …, 0
7
From visual understanding to complex object manipulation
J Bütepage, S Cruciani, M Kokic, M Welle, D Kragic
Annual Review of Control, Robotics, and Autonomous Systems 2, 161-179, 2019
62019
A Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling
J Bütepage, H Kjellström, D Kragic
arXiv preprint arXiv:1809.08875, 2018
6*2018
Imitating by generating: deep generative models for imitation of interactive tasks
J Bütepage, A Ghadirzadeh, ÖÖ Karadag, M Björkman, D Kragic
arXiv preprint arXiv:1910.06031, 2019
42019
Modeling assumptions and evaluation schemes: On the assessment of deep latent variable models.
J Bütepage, P Poklukar, D Kragic
CVPR Workshops, 9-12, 2019
42019
A database for reproducible manipulation research: CapriDB–Capture, Print, Innovate
FT Pokorny, Y Bekiroglu, K Pauwels, J Butepage, C Scherer, D Kragic
Data in brief 11, 491-498, 2017
32017
Predicting the What and How-a Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling
J Butepage, H Kjellstrom, D Kragic
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
22019
Informed Priors for Deep Representation Learning
J Bütepage, J He, C Zhang, L Sigal, G Mori, S Mandt
22018
Social Sensorimotor Contingencies
J Bütepage
KTH Royal Institute of Technology, Stockholm, Sweden, 2016
22016
Social Affordance Tracking over Time-A Sensorimotor Account of False-Belief Tasks
J Bütepage, H Kjellström, D Kragic
Proc. 38th Annual Meeting of the Cognitive Science Society (CogSci), 1014-1019, 2016
12016
Imitating by Generating
J Bütepage, A Ghadirzadeh, Ö Öztimur Karadaǧ, M Björkman, D Kragic
Frontiers Research Foundation, 2020
2020
Fashion Landmark Detection and Category Classification for Robotics
T Ziegler, J Butepage, MC Welle, A Varava, T Novkovic, D Kragic
2020 IEEE International Conference on Autonomous Robot Systems and …, 2020
2020
Seeing the whole picture instead of a single point: Self-supervised likelihood learning for deep generative models
P Poklukar, J Bütepage, D Kragic
2nd Symposium on Advances in Approximate Bayesian Inference, 2019
2019
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