Hedvig Kjellström (Sidenbladh)

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Danica KragicProfessor of Computer Science, KTH - Royal Institute of TechnologyVerified email at kth.se
Cheng ZhangPrincipal Researcher, Microsoft Research, Cambridge, UKVerified email at kth.se
Michael J. BlackMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Judith BütepageSenior Research Engineer, SEED @ EAVerified email at kth.se
Taras KucherenkoResearch Scientist at SEED - Electronic Arts (EA)Verified email at ea.com
Javier RomeroReality Labs Research, MetaVerified email at tuebingen.mpg.de
Sofia BrooméML R&D engineer @Therapanacea. Previously a PhD student, KTH Royal Institute of Technology.Verified email at kth.se
Gustav Eje HenterKTH Royal Institute of Technology, Stockholm, SwedenVerified email at kth.se
Olov EngwallProfessor in Speech Communication, KTH (Royal Institute of Technology); Stockholm, SwedenVerified email at kth.se
Ruibo TuKTH Royal Institute of TechnologyVerified email at kth.se
Pia Haubro AndersenProfessor emer Large Animal Surgery, Swedish Agricultural UniversityVerified email at slu.se
Jonas BeskowProfessor, KTH Speech, Music and HearingVerified email at kth.se
Pier Luigi DovesiSilo AIVerified email at silo.ai
Elin HernlundSwedish University of Agricultural SciencesVerified email at slu.se
Iolanda LeiteAssociate Professor at KTH Royal Institute of TechnologyVerified email at kth.se
joakim gustafsonProfessor in Speech Technology, KTHVerified email at speech.kth.se
Pawel Andrzej HermanAssociate Professor at KTH Royal Institute of TechnologyVerified email at kth.se
Silvia ZuffiIMATI-CNRVerified email at mi.imati.cnr.it
Ci LiKTH Royal Institute of TechnologyVerified email at kth.se
Hossein AzizpourAssociate Professor, KTH (Royal Institute of Technology)Verified email at kth.se

Hedvig Kjellström (Sidenbladh)

Professor at KTH Royal Institute of Technology, 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 Computer Vision—ECCV 2000: 6th European Conference on Computer Vision …, 2000	1031	2000
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	715	2019
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	441	2017
Implicit probabilistic models of human motion for synthesis and tracking H Sidenbladh, MJ Black, L Sigal Computer Vision—ECCV 2002: 7th European Conference on Computer Vision …, 2002	441	2002
Multi-target particle filtering for the probability hypothesis density H Sidenbladh International Conference on Information Fusion, 2003	358	2003
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	290	2011
Learning the statistics of people in images and video H Sidenbladh, MJ Black International Journal of Computer Vision 54, 183-209, 2003	185	2003
Learning image statistics for Bayesian tracking H Sidenbladh, MJ Black IEEE International Conference on Computer Vision, 2001	183	2001
Gesticulator: A framework for semantically-aware speech-driven gesture generation T Kucherenko, P Jonell, S van Waveren, GE Henter, S Alexanderson, ... ACM International Conference on Multimodal Interaction, 2020	154*	2020
Learning and tracking cyclic human motion D Ormoneit, H Sidenbladh, M Black, T Hastie Advances in Neural Information Processing Systems 13, 2000	154	2000
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	150	2010
Detecting human motion with support vector machines H Sidenbladh IAPR International Conference on Pattern Recognition, 2004	148	2004
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	140	2019
Tracking random sets of vehicles in terrain H Sidenbladh, SL Wirkander 2003 Conference on Computer Vision and Pattern Recognition Workshop 9, 98-98, 2003	132	2003
A person following behaviour for a mobile robot H Sidenbladh, D Kragic, HI Christensen Proceedings 1999 IEEE International Conference on Robotics and Automation …, 1999	128	1999
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	120*	2018
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	120	2009
Simultaneous visual recognition of manipulation actions and manipulated objects H Kjellström, J Romero, D Martínez, D Kragić Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008	115	2008
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	96	2005
Representing cyclic human motion using functional analysis D Ormoneit, MJ Black, T Hastie, H Kjellström Image and Vision Computing 23 (14), 1264-1276, 2005	95	2005

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