Hedvig Kjellström (Sidenbladh)

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Danica KragicProfessor of Computer Science, KTH - Royal Institute of TechnologyVerified email at kth.se
Michael J. BlackMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Cheng ZhangPrincipal Researcher, Microsoft Research, Cambridge, UKVerified email at kth.se
Javier RomeroReality Labs Research, MetaVerified email at tuebingen.mpg.de
Carl Henrik EkUniversity of CambridgeVerified email at cam.ac.uk
Judith BütepageResearch Scientist, SpotifyVerified email at kth.se
Alessandro PieropanHead of products @ Univrses ABVerified email at kth.se
Taras KucherenkoResearch Scientist at EA GamesVerified email at ea.com
Olov EngwallProfessor in Speech Communication, KTH (Royal Institute of Technology); Stockholm, SwedenVerified email at kth.se
Olle BälterKTH Royal Institute of TechnologyVerified email at kth.se
Gustav Eje HenterKTH Royal Institute of Technology, Stockholm, SwedenVerified email at kth.se
Stephan MandtAssistant Professor, University of California, IrvineVerified email at uci.edu
Pontus SvensonRISE SICSVerified email at ri.se
David J FleetGoogle Brain Team; University of Toronto; Universiity of Toronto Scarborough; Vector InstituteVerified email at cs.toronto.edu
Johan SchubertResearch Director, Swedish Defence Research Agency (FOI); Associate Professor, KTHVerified email at foi.se
Sofia BrooméPhD student, KTH Royal Institute of TechnologyVerified email at kth.se
Jonas BeskowProfessor, KTH Speech, Music and HearingVerified email at kth.se
Ruibo TuKTH Royal Institute of TechnologyVerified email at kth.se
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at cmu.edu
Trevor HastieProfessor of Statistics, Stanford UniversityVerified email at stanford.edu

Hedvig Kjellström (Sidenbladh)

Professor at KTH Royal Institute of Technology, Principal AI Scientist at Silo AI, Sweden

Verified email at kth.se - Homepage

Computer Vision Representation Learning Human Behavior Animal Behavior


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Stochastic tracking of 3D human figures using 2D image motion H Sidenbladh, MJ Black, DJ Fleet European conference on computer vision, 702-718, 2000	1022	2000
Implicit probabilistic models of human motion for synthesis and tracking H Sidenbladh, MJ Black, L Sigal European conference on computer vision, 784-800, 2002	438	2002
Advances in variational inference C Zhang, J Bütepage, H Kjellström, S Mandt IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (8), 2008-2026, 2019	424	2019
Multi-target particle filtering for the probability hypothesis density H Sidenbladh International Conference on Information Fusion, 2003	358	2003
Deep representation learning for human motion prediction and classification J Bütepage, MJ Black, D Kragic, H Kjellström IEEE Conference on Computer Vision and Pattern Recognition, 2017	293	2017
Visual object-action recognition: Inferring object affordances from human demonstration H Kjellström, J Romero, D Kragić Computer Vision and Image Understanding 115 (1), 81-90, 2011	271	2011
Learning the statistics of people in images and video H Sidenbladh, MJ Black International Journal of Computer Vision 54 (1), 183-209, 2003	189	2003
Learning image statistics for Bayesian tracking H Sidenbladh, MJ Black IEEE International Conference on Computer Vision, 2001	182	2001
Detecting human motion with support vector machines H Sidenbladh IAPR International Conference on Pattern Recognition, 2004	148	2004
Learning and tracking cyclic human motion D Ormoneit, H Sidenbladh, M Black, T Hastie Advances in Neural Information Processing Systems 13, 2000	146	2000
Tracking random sets of vehicles in terrain H Sidenbladh, SL Wirkander 2003 Conference on Computer Vision and Pattern Recognition Workshop 9, 98-98, 2003	133	2003
Hands in action: real-time 3D reconstruction of hands in interaction with objects J Romero, H Kjellström, D Kragic 2010 IEEE International Conference on Robotics and Automation, 458-463, 2010	132	2010
A person following behaviour for a mobile robot H Sidenbladh, D Kragic, HI Christensen Proceedings 1999 IEEE International Conference on Robotics and Automation …, 1999	125	1999
Simultaneous visual recognition of manipulation actions and manipulated objects H Kjellström, J Romero, D Martínez, D Kragić European conference on computer vision, 336-349, 2008	114	2008
Monocular real-time 3D articulated hand pose estimation J Romero, H Kjellström, D Kragic 2009 9th IEEE-RAS International Conference on Humanoid Robots, 87-92, 2009	113	2009
Wizard-of-Oz test of ARTUR: a computer-based speech training system with articulation correction O Bälter, O Engwall, AM Öster, H Kjellström Proceedings of the 7th international ACM SIGACCESS conference on Computers …, 2005	98	2005
A framework for modeling the appearance of 3D articulated figures H Sidenbladh, F De la Torre, MJ Black Proceedings Fourth IEEE International Conference on Automatic Face and …, 2000	94	2000
Representing cyclic human motion using functional analysis D Ormoneit, MJ Black, T Hastie, H Kjellström Image and Vision Computing 23 (14), 1264-1276, 2005	86	2005
Anticipating many futures: Online human motion prediction and synthesis for human-robot collaboration J Bütepage, H Kjellström, D Kragic IEEE International Conference on Robotics and Automation, 2018	80*	2018
Analyzing input and output representations for speech-driven gesture generation T Kucherenko, D Hasegawa, GE Henter, N Kaneko, H Kjellström ACM Intelligent Virtual Agents Conference, 2019	79	2019

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