Prof. Dr. Birgit Awiszus
Engineering and engineering trades , Mechanical engineering: forming technology, manufacturing informatics
Perceiving Systems, Max Planck Institute for Intelligent Systems, Germany
Affiliate Professor
Information and Communication Technologies (ICTs), Engineering and engineering trades
Robotics, Computer Vision, Machine Learning, Artificial Intelligence
The general theme of my research is automatic models of perception and production of human non-verbal communicative behavior and activity, in other words, designing machines that can interpret human non-verbal communication and/or produce human-like non-verbal behavior. These ideas are applied in Social Robotics, Performing Arts, and Healthcare.
ICRA Best Reviewer Award 2015, one out of three reviewers who were recognized for performing high-quality reviews for ICRA 2015
Koenderink Prize for Fundamental Contributions in Computer Vision 2010 for the paper H. Sidenbladh, M.J. Black and D.J. Fleet, Stochastic Tracking of 3D Human Figures Using 2D Image Motion, ECCV 2000, this prize is awarded to papers published at ECCV 10 years ago that have withstood the test of time
English, French, Swedish
Hedvig Kjellström is a Professor of Computer Science and the head of the Department of Robotics, Perception, and Learning (RPL) at KTH in Stockholm, Sweden. She received an MSc in Engineering Physics and a PhD in Computer Science from KTH in 1997 and 2001, respectively. The topic of her doctoral thesis was 3D reconstruction of human motion in video. Between 2002 and 2006 she worked as a scientist at the Swedish Defence Research Agency, where she focused on Information Fusion and Sensor Fusion. In 2007 she returned to KTH, pursuing research in activity analysis in video. Her present research focuses on the modeling of perception and production of human non-verbal communicative behavior and activity, with applications in Social Robotics, Performing Arts, and Healthcare.
In 2010, she was awarded the Koenderink Prize for fundamental contributions in Computer Vision for her ECCV 2000 article on human motion reconstruction, written together with Michael Black and David Fleet. She has written around 80 papers in the fields of Robotics, Computer Vision, Information Fusion, Machine Learning, Cognitive Science, Speech, and Human-Computer Interaction. She is mostly active within the areas of Robotics and Computer Vision, where she is an Associate Editor for IEEE TPAMI and IEEE RA-L, and an Area Chair for CVPR 2016, RSS 2016, ICCV 2017, and Humanoids 2017.
Judith Bütepage, Michael J. Black, Danica Kragic, and Hedvig Kjellström. Deep representation learning for human motion prediction and classification. In IEEE Conference on Computer Vision and Pattern Recognition, 2017.
Cheng Zhang, Hedvig Kjellström, and Carl Henrik Ek. Inter-battery topic representation learning. In European Conference on Computer Vision, 2016.
Alessandro Pieropan, Carl Henrik Ek, and Hedvig Kjellström. Functional object descriptors for human activity modeling. In IEEE International Conference on Robotics and Automation, 2013.
Hedvig Kjellström, Javier Romero, and Danica Kragic. Visual object-action recognition: Inferring object affordances from human demonstration. Computer Vision and Image Understanding, 115:81-90, 2011.
Hedvig Kjellström and Olov Engwall. Audiovisual-to-articulatory inversion. Speech Communication, 51(3):195-209, 2009.
Hedvig Sidenbladh. Multi-target particle filtering for the probability hypothesis density. In International Conference on Information Fusion, pp 800-806, 2003.
Hedvig Sidenbladh, Michael J. Black, and Leonid Sigal. Implicit probabilistic models of human motion for synthesis and tracking. In European Conference on Computer Vision, vol 1, pp 784-800, 2002.
Hedvig Sidenbladh, Michael J. Black, and David J. Fleet. Stochastic tracking of 3D human figures using 2D image motion. In European Conference on Computer Vision, vol 2, pp 702-718, 2000.
EquestrianML: Machine Learning methods for recognition of the pain expressions of horses
http://www.csc.kth.se/~hedvig/research.html#HORSE
EACare: Embodied Agent to support elderly mental wellbeing
http://www.csc.kth.se/~hedvig/research.html#EACARE
FOVIAL: FOrensic VIdeo AnaLysis – finding out what really happened
http://www.csc.kth.se/~hedvig/research.html#FOVIAL
TOMSY: TOpology based Motion SYnthesis for dexterous manipulation
http://www.csc.kth.se/~hedvig/research.html#TOMSY
HumanAct: Visual and multi-modal learning of Human Activity and interaction with the surrounding scene
http://www.csc.kth.se/~hedvig/research.html#HUMANACT
Advisory Board member, L3S Research Center
https://www.l3s.de/
Management Group member, Swedish e-Science Research Centre
http://e-science.se/
Associate Editor, IEEE Robotics and Automation Letters
http://www.ieee-ras.org/publications/ra-l
Associate Editor, IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.computer.org/web/tpami
Sveriges Television, June 2017
Live studio interview about face recognition
Sveriges Television, May 2017
Live studio interview about robotics
Ruptly TV, August 2016
Recorded interview about the EACare project
https://www.youtube.com/watch?v=w2Y7yPYPFbE
Dagens Nyheter, July 2016
News article about the EACare project
http://www.dn.se/nyheter/vetenskap/social-robot-ska-upptacka-demens-tidigare/
You can only see the contact information of the academics in the database if you are a registered user of AcademiaNet.
Please register here
Engineering and engineering trades , Mechanical engineering: forming technology, manufacturing informatics
Engineering and engineering trades , Languages, Health, Social and behavioural sciences, Biomedical engineering
Information and Communication Technologies (ICTs), Human-computer interaction
Information and Communication Technologies (ICTs), Mathematics and statistics, Mathematical and Computational Logic