| 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 | 1043 | 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 | 899 | 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 | 522 | 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 | 451 | 2002 |
| Multi-target particle filtering for the probability hypothesis density H Sidenbladh International Conference on Information Fusion, 2003 | 363 | 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 | 306 | 2011 |
| 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 | 207* | 2020 |
| Learning the statistics of people in images and video H Sidenbladh, MJ Black International Journal of Computer Vision 54, 183-209, 2003 | 188 | 2003 |
| Learning image statistics for Bayesian tracking H Sidenbladh, MJ Black IEEE International Conference on Computer Vision, 2001 | 185 | 2001 |
| 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 | 178 | 2019 |
| Learning and tracking cyclic human motion D Ormoneit, H Sidenbladh, M Black, T Hastie Advances in Neural Information Processing Systems 13, 2000 | 160 | 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 | 155 | 2010 |
| Detecting human motion with support vector machines H Sidenbladh IAPR International Conference on Pattern Recognition, 2004 | 152 | 2004 |
| 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 | 146* | 2018 |
| 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 |
| 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 | 130 | 2009 |
| 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 |
| 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 | 113 | 2008 |
| Non-Parametric Calibration for Classification J Wenger, H Kjellström, R Triebel International Conference on Artificial Intelligence and Statistics, 2020 | 106 | 2020 |
| Representing cyclic human motion using functional analysis D Ormoneit, MJ Black, T Hastie, H Kjellström Image and Vision Computing 23 (14), 1264-1276, 2005 | 106 | 2005 |
Danica KragicProfessor of Computer Science, KTH - Royal Institute of Technologykth.se의 이메일 확인됨
