(Hedvig Sidenbladh) Kjellstrom Kjellström
Hedvig Kjellstr
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Publications

My publications, citations, and h-index can also be found on Google Scholar Citations, DBLP, and ResearchGate. I changed my last name from Sidenbladh to Kjellström in September 2005.

Popular Scientific

Paper in pdf Hedvig Kjellström. Datorer som ser människor. I Sinnen, signaler och tolkningar av verkligheten, Kungliga vetenskaps- och vitterhetssamhället, sid 119-128, 2006.

2017

Paper in pdf Cheng Zhang, Judith Bütepage, Hedvig Kjellström, and Stephan Mandt. Advances in Variational Inference, http://arxiv.org/abs/1711.05597, 2017.
Paper in pdf Marcus Klasson, Kun Zhang, Bo Christer Bertilson, Cheng Zhang, and Hedvig Kjellström. Causality refined diagnostic prediction. In NIPS Workshop on Machine Learning for Health, 2017.
Paper in pdf Yanxia Zhang, Jonas Beskow, and Hedvig Kjellström. Look but don't stare: Mutual gaze interaction in social robots. In International Conference on Social Robotics, 2017.
Paper in pdf Patrik Jonell, Joseph Mendelson, Thomas Storskog, Göran Hagman, Per Östberg, Iolanda Leite, Taras Kucherenko, Olga Mikheeva, Ulrika Akenine, Vesna Jelic, Alina Solomon, Jonas Beskow, Joakim Gustafson, Miia Kivipelto, and Hedvig Kjellström. Machine Learning and Social Robotics for Detecting Early Signs of Dementia, http://arxiv.org/abs/1709.01613, 2017.
Paper in pdf Cheng Zhang, Hedvig Kjellström, and Stephan Mandt. Determinantal point processes for mini-batch diversification. In Conference on Uncertainty in Artificial Intelligence, 2017.
Paper in pdf 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.
Paper in pdf Taras Kucherenko and Hedvig Kjellström. Towards context-preserving human to robot motion mapping. In Swedish Symposium on Deep Learning, 2017.
Paper in pdf Kelly Karipidou, Josefin Ahnlund, Anders Friberg, Simon Alexanderson, and Hedvig Kjellström. Computer analysis of sentiment interpretation in musical conducting. In IEEE Conference on Automatic Face and Gesture Recognition, 2017.
Dataset and videos from the paper here.

2016

Cheng Zhang, Hedvig Kjellström, and Bo Christer Bertilson. Diagnostic prediction using discomfort drawings. In NIPS Workshop on Machine Learning for Health, 2016.
Paper in pdf An Qu, Cheng Zhang, Paul Ackermann, and Hedvig Kjellström. Bridging medical data inference to Achilles tendon rupture rehabilitation. In NIPS Workshop on Machine Learning for Health, 2016.
Cheng Zhang, Stephan Mandt, and Hedvig Kjellström. Balanced population stochastic variational inference. In NIPS Workshop on Advances in Approximate Bayesian Inference, 2016.
Paper in pdf David Geronimo and Hedvig Kjellström. Generative One-Class Models for Text-based Person Retrieval in Forensic Applications. http://arxiv.org/abs/1611.05915, 2016.
Paper in pdf Sergio Caccamo, Püren Güler, Hedvig Kjellström, and Danica Kragic. Active perception and modeling of deformable surfaces using Gaussian processes and position-based dynamics. In IEEE-RAS International Conference on Humanoid Robots, 2016.
Paper in pdf Cheng Zhang, Hedvig Kjellström, and Carl Henrik Ek. Inter-battery topic representation learning. In European Conference on Computer Vision, 2016.
Paper in pdf Cheng Zhang, Hedvig Kjellström, Carl Henrik Ek, and Bo Christer Bertilson. Diagnostic prediction using discomfort drawings with IBTM. In Machine Learning in Health Care, 2016.
Paper in pdf Judith Bütepage, Hedvig Kjellström, and Danica Kragic. Social affordance tracking over time - A sensorimotor account of false-belief tasks. In 38th Annual Conference of the Cognitive Science Society, 2016.
Paper in pdf Alessandro Pieropan, Niklas Bergström, Masatoshi Ishikawa, Danica Kragic, and Hedvig Kjellström. Robust tracking of unknown objects through adaptive size estimation and appearance learning. In IEEE International Conference on Robotics and Automation, 2016.
Cheng Zhang, Hedvig Kjellström, and Bo Christer Bertilson. Diagnostic prediction using discomfort drawings with Multi-Modal Topic Model. In UAI Workshop on Machine Learning for Health, 2016.
Paper in pdf Alessandro Pieropan, Niklas Bergström, Masatoshi Ishikawa, and Hedvig Kjellström. Robust and adaptive keypoint-based object tracking. Advanced Robotics 30(4):258-269, 2016.
André Eriksson and Hedvig Kjellström. A formal approach to anomaly detection. In International Conference on Pattern Recognition Applications and Methods, 2016.

2015

Paper in pdf Püren Güler, Karl Pauwels, Alessandro Pieropan, Hedvig Kjellström, and Danica Kragic. Estimating the deformability of elastic materials using optical flow and position-based dynamics. In IEEE-RAS International Conference on Humanoid Robots, 2015.
Alessandro Pieropan, Carl Henrik Ek, and Hedvig Kjellström. Functional descriptors for object affordances. In IROS 2015 Workshop on Learning Object Affordances: A Fundamental Step to Allow Prediction, Planning and Tool Use in Autonomous Robots?, 2015.
Paper in pdf Alessandro Pieropan, Niklas Bergström, Masatoshi Ishikawa, and Hedvig Kjellström. Robust 3D tracking of unknown objects. In IEEE International Conference on Robotics and Automation, 2015.

2014

Paper in pdf Alessandro Pieropan, Carl Henrik Ek, and Hedvig Kjellström. Recognizing object affordances in terms of spatio-temporal object-object relationships. In IEEE-RAS International Conference on Humanoid Robots, 2014.
Paper in pdf Alessandro Pieropan, Giampiero Salvi, Karl Pauwels, and Hedvig Kjellström. Audio-visual classification and detection of human manipulation actions. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014.
Dataset from the paper here.
Paper in pdf Cheng Zhang and Hedvig Kjellström. How to supervise topic models. In ECCV 2014 Workshop on Graphical Models in Computer Vision, 2014.
Paper in pdf Alessandro Pieropan and Hedvig Kjellström. Unsupervised object exploration using context. In IEEE International Symposium on Robot and Human Interactive Communication, 2014.
Alessandro Pieropan, Niklas Bergström, Hedvig Kjellström, and Masatoshi Ishikawa. Robust tracking through learning. In 32nd Annual Conference of the Robotics Society of Japan, 2014.
Paper in pdf David Geronimo and Hedvig Kjellström. Unsupervised surveillance video retrieval based on human action and appearance. In IAPR International Conference on Pattern Recognition, 2014.
Alessandro Pieropan, Carl Henrik Ek, and Hedvig Kjellström. On object affordances. In ICRA 2014 Workshop on Autonomous Grasping and Manipulation: An Open Challenge, 2014.
Alessandro Pieropan, Giampiero Salvi, Karl Pauwels, and Hedvig Kjellström. A dataset of human manipulation actions. In ICRA 2014 Workshop on Autonomous Grasping and Manipulation: An Open Challenge, 2014.
Jie Sun, Ketao Zhang, Jian S. Dai, Carl Henrik Ek, Hedvig Kjellström, and Danica Kragic. Benchmarking for the Metamorphic Hand based on a Dimensionality Reduction Model. Technical report, King's College London, 2014.

2013

Paper in pdf Javier Romero, Thomas Feix, Carl Henrik Ek, Hedvig Kjellström, and Danica Kragic. Extracting postural synergies for robotic grasping. IEEE Transactions on Robotics, 29(6):1342-1352, 2013.
Paper in pdf Cheng Zhang, Carl Henrik Ek, Xavi Gratal, Florian T. Pokorny, and Hedvig Kjellström. Supervised hierarchical Dirichlet process with variational inference. In ICCV 2013 Workshop on Inference for Probabilistic Graphical Models, 2013.
Paper in pdf Cheng Zhang, Dan Song, and Hedvig Kjellström. Contextual modeling with labeled multi-LDA. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013.
Paper in pdf Javier Romero, Hedvig Kjellström, Carl Henrik Ek, and Danica Kragic. Non-parametric hand pose estimation with object context. Image and Vision Computing, 31(8):555-564, 2013.
Paper in pdf Akshaya Thippur, Anders Askenfelt, and Hedvig Kjellström. Probabilistic modeling of bowing gestures for gesture-based violin sound synthesis. In Stockholm Music Acoustics Conference, 2013.
Paper in pdf Alessandro Pieropan, Carl Henrik Ek, and Hedvig Kjellström. Functional object descriptors for human activity modeling. In IEEE International Conference on Robotics and Automation, 2013.
Paper in pdf Martin Hjelm, Carl Henrik Ek, Renaud Detry, Hedvig Kjellström, and Danica Kragic. Sparse summarization of robotic grasp data. In IEEE International Conference on Robotics and Automation, 2013.
Paper in pdf Cheng Zhang, Carl Henrik Ek, Andreas Damianou, and Hedvig Kjellström. Factorized topic models. In International Conference on Learning Representations, 2013.
Paper in pdf Akshaya Thippur, Carl Henrik Ek, and Hedvig Kjellström. Inferring hand pose: A comparative study of visual shape features. In IEEE International Conference on Automatic Face and Gesture Recognition, 2013.
Paper in pdf Cheng Zhang and Hedvig Kjellström. Multi-Class Detection and Segmentation of Objects in Depth. http://arxiv.org/abs/1301.5582, 2013.

2012

Paper in pdf Florian T. Pokorny, Carl Henrik Ek, Hedvig Kjellström, and Danica Kragic. Persistent homology for learning densities with bounded support. In Advances in Neural Information Processing Systems 25, 2012.
Florian T. Pokorny, Carl Henrik Ek, Hedvig Kjellström, and Danica Kragic. Topological constraints and kernel based density estimation. In NIPS 2012 Workshop on Algebraic Topology and Machine Learning, 2012.
Paper in pdf Saad Akram, Jonas Beskow, and Hedvig Kjellström. Visual Recognition of Isolated Swedish Sign Language Signs. http://arxiv.org/abs/1211.3901, 2012.

2011

Chapter in pdf Hedvig Kjellström. Contextual action recognition. In T. B. Moeslund, A. Hilton, V. Krüger, and L. Sigal (eds), Guide to Visual Analysis of Humans: Looking at People, Springer, pp 355-376, 2011.
Paper in pdf Sanmohan, Volker Krüger, Danica Kragic, and Hedvig Kjellström. Primitive-based action representation and recognition. Advanced Robotics, 25(6-7):871-891, 2011.
Paper in pdf 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.

2010

Paper in pdf Javier Romero, Thomas Feix, Hedvig Kjellström, and Danica Kragic. Spatio-temporal modeling of grasping actions. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010.
Paper in pdf Hedvig Kjellström, Danica Kragic, and Michael J. Black. Tracking people interacting with objects. In IEEE Conference on Computer Vision and Pattern Recognition, 2010.
Paper in pdf Javier Romero, Hedvig Kjellström, and Danica Kragic. Hands in action: Real-time 3D reconstruction of hands in interaction with objects. In IEEE International Conference on Robotics and Automation, 2010.

2009

Paper in pdf Javier Romero, Hedvig Kjellström, and Danica Kragic. Monocular real-time 3D articulated hand pose estimation. In IEEE-RAS International Conference on Humanoid Robots, 2009.
Martin Do, Javier Romero, Hedvig Kjellström, Pedram Azad, Tamim Asfour, Danica Kragic, and Rüdiger Dillmann. Grasp recognition and mapping on humanoid robots. In IEEE-RAS International Conference on Humanoid Robots, 2009.
Paper in pdf Javier Romero, Hedvig Kjellström, and Danica Kragic. Modeling and evaluation of human-to-robot mapping of grasps. In International Conference on Advanced Robotics, 2009.
Paper in pdf Hedvig Kjellström and Olov Engwall. Audiovisual-to-articulatory inversion. Speech Communication, 51(3):195-209, 2009.

2008

Paper in pdf Hedvig Kjellström, Javier Romero, David Martinez, and Danica Kragic. Simultaneous visual recognition of manipulation actions and manipulated objects. In European Conference on Computer Vision, vol 2, pp 336-349, 2008.
Javier Romero, Hedvig Kjellström, and Danica Kragic. Human-to-robot mapping of grasps. In Workshop on Grasp and Task Learning by Imitation (invited paper), 2008.
Paper in pdf Hedvig Kjellström, Javier Romero, and Danica Kragic. Visual recognition of grasps for human-to-robot mapping. In IEEE/RSJ International Conference on Intelligent Robots and Systems, pp 3192-3199, 2008.

2007

Paper in pdf Hedvig Kjellström, Olov Engwall, Sherif Abdou, and Olle Bälter. Audio-visual phoneme classification for pronunciation training applications. In Interspeech, pp 702-705, 2007.
Sy Bor Wang, David Demirdjian, Trevor Darrell, and Hedvig Kjellström. Multimodal communication error detection for driver-car interaction. In IRINCO-RA, pp 365-371, 2007.
Paper in pdf Simon Ahlberg, Pontus Hörling, Hedvig Kjellström, Karsten Jöred, Christian Mårtenson, Göran Neider, Johan Schubert, Pontus Svenson, Per Svensson, Katarina Unden, and Johan Walter. An information fusion demonstrator for tactical intelligence processing in network-based defense. Information Fusion, 8(1):84-107, 2007.

2006

Paper in pdf Hedvig Kjellström, Olov Engwall, and Olle Bälter. Reconstructing tongue movements from audio and video. In Interspeech, pp 2238-2241, 2006.
Paper in pdf Olov Engwall, Olle Bälter, Anne-Marie Öster, and Hedvig Kjellström. Designing the user interface of the computer-based speech training system ARTUR based on early user tests. Behaviour and Information Technology, 25(4):353-365, 2006.
Paper in pdf Olov Engwall, Olle Bälter, Anne-Marie Öster, and Hedvig Kjellström. Feedback management in the pronunciation system ARTUR. In ACM SIGCHI Conference on Human Factors in Computing Systems (extended abstracts), pp 231-234, 2006.

2005

Paper in pdf Dirk Ormoneit, Michael J. Black, Trevor Hastie, and Hedvig Kjellström. Representing cyclic human motion using functional analysis. Image and Vision Computing, 23(14):1264-1276, 2005.
Paper in pdf Josef Grahn and Hedvig Kjellström. Using SVM for efficient detection of human motion. In Joint IEEE Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, pp 231-235, 2005.
Elina Eriksson, Olle Bälter, Olov Engwall, Anne-Marie Öster, and Hedvig Kjellström. Design recommendations for a computer-based speech training system based on end-user interviews. In International Conference on Speech and Computer, pp 483-486, 2005.
Paper in pdf Olle Bälter, Olov Engwall, Anne-Marie Öster, and Hedvig Kjellström. Wizard-of-Oz test of ARTUR - a computer-based speech training system with articulation correction. In International ACM SIGACCESS Conference on Computers and Accessibility, pp 36-43, 2005.
Paper in pdf Hedvig Sidenbladh, Pontus Svenson, and Johan Schubert. Comparing future situation pictures. In International Conference on Information Fusion, 2005.
Johan Schubert and Hedvig Sidenbladh. Sequential clustering with particle filters - estimating the number of clusters from data. In International Conference on Information Fusion, 2005.

2004

Johan Schubert, Christian Mårtenson, Hedvig Sidenbladh, Pontus Svenson, and Johan Walter. Methods and system design of the IFD03 information fusion demonstrator. In International Command and Control Research and Technology Symposium, 2004.
Paper in pdf Hedvig Sidenbladh. Detecting human motion with support vector machines. In IAPR International Conference on Pattern Recognition, vol 2, pp 188-191, 2004.
Simon Ahlberg, Pontus Hörling, Karsten Jöred, Björn Lindström, Christian Mårtenson, Göran Neider, Johan Schubert, Hedvig Sidenbladh, Pontus Svenson, Per Svensson, Katarina Unden, and Johan Walter. The IFD03 information fusion demonstrator. In International Conference on Information Fusion, pp 936-943, 2004.
Paper in pdf Hedvig Sidenbladh, Pontus Svenson, and Johan Schubert. Comparing multi-target trackers on different force unit levels. In SPIE Vol. 5429 Signal Processing, Sensor Fusion and Target Recognition XIII, pp 306-314, 2004.

2003

Paper in pdf Hedvig Sidenbladh and Michael J. Black. Learning the statistics of people in images and video. International Journal of Computer Vision, 54(1-3):183-209, 2003.
Paper in pdf Hedvig Sidenbladh. Multi-target particle filtering for the probability hypothesis density. In International Conference on Information Fusion, pp 800-806, 2003.
Paper in pdf Pontus Svenson and Hedvig Sidenbladh. Determining possible avenues of approach using ANTS. In International Conference on Information Fusion, pp 1110-1117, 2003.
Paper in pdf Hedvig Sidenbladh and Sven-Lennart Wirkander. Tracking random sets of vehicles in terrain. In IEEE Workshop on Multi-Object Tracking, 2003.

2002

Matthieu Bray, Hedvig Sidenbladh, and Jan-Olof Eklundh. Recognition of gestures in the context of speech. In IAPR International Conference on Pattern Recognition, vol 1, pp 356-359, 2002.
Paper in pdf 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.

2001

Thesis in pdf Hedvig Sidenbladh. Probabilistic Tracking and Reconstruction of 3D Human Motion in Monocular Video Sequences. PhD Thesis TRITA-NA-0114, ISBN 91-7283-169-3, Dept. of Numerical Analysis and Computer Science, KTH, Sweden 2001.
Paper in pdf Hedvig Sidenbladh and Michael J. Black. Learning image statistics for Bayesian tracking. In IEEE International Conference on Computer Vision, vol 2, pp 709-716, 2001.
Paper in pdf Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black, and Trevor Hastie. Learning and tracking cyclic human motion. In Advances in Neural Information Processing Systems 13, pp 894-900, 2001.

2000

Paper in pdf 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.
Awarded the 2010 Koenderink Prize for Fundamental Contributions in Computer Vision.
The Koenderink Prize is awarded each year at the European Conference on Computer Vision (one of the most prestigious conferences in the field) for a paper published ten years ago at that conference which has withstood the test of time.
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black, Trevor Hastie, and David J. Fleet. Learning and tracking human motion using functional analysis. In IEEE Workshop on Human Modeling, Analysis and Synthesis, 2000.
Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black, and Trevor Hastie. Stochastic modeling and tracking of human motion. In Learning 2000 (abstract), 2000.
Paper in pdf Hedvig Sidenbladh, Fernando De la Torre, and Michael J. Black. A framework for modeling the appearance of 3D articulated figures. In IEEE International Conference on Automatic Face and Gesture Recognition, pp 368-375, 2000.

1999

Paper in pdf Hedvig Sidenbladh, Danica Kragic, and Henrik I. Christensen. A person following behaviour for a mobile robot. In IEEE International Conference on Robotics and Automation, vol 1, pp 670-675, 1999.