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ORCIDHedvig Kjellström
Hedvig Sidenbladh
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- affiliation: Royal Institute of Technology, Stockholm, Sweden
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2020 – today
- 2024
[c77]Silvia Zuffi, Ylva Mellbin, Ci Li, Markus Höschle, Hedvig Kjellström, Senya Polikovsky, Elin Hernlund, Michael J. Black:
VAREN: Very Accurate and Realistic Equine Network. CVPR 2024: 5374-5383- [i56]Ricardo Vinuesa, Jean Rabault, Hossein Azizpour, Stefan Bauer, Bingni W. Brunton, Arne Elofsson, Elias Jarlebring, Hedvig Kjellström, Stefano Markidis, David Marlevi, Paola Cinnella, Steven L. Brunton:
Opportunities for machine learning in scientific discovery. CoRR abs/2405.04161 (2024) - [i55]Ruibo Tu, Zineb Senane, Lele Cao, Cheng Zhang, Hedvig Kjellström, Gustav Eje Henter:
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework. CoRR abs/2406.08311 (2024) - [i54]Ci Li, Elin Hernlund, Hedvig Kjellström, Silvia Zuffi:
CLHOP: Combined Audio-Video Learning for Horse 3D Pose and Shape Estimation. CoRR abs/2407.01244 (2024) - 2023
- [j19]Sofia Broomé
, Marcelo Feighelstein, Anna Zamansky, Gabriel Carreira Lencioni, Pia Haubro Andersen, Francisca Pessanha, Marwa Mahmoud, Hedvig Kjellström, Albert Ali Salah:
Going Deeper than Tracking: A Survey of Computer-Vision Based Recognition of Animal Pain and Emotions. Int. J. Comput. Vis. 131(2): 572-590 (2023) - [j18]Benjamin Christoffersen, Behrang Mahjani, Mark Clements, Hedvig Kjellström, Keith Humphreys:
Quasi-Monte Carlo Methods for Binary Event Models with Complex Family Data. J. Comput. Graph. Stat. 32(4): 1393-1401 (2023) - [j17]Marcus Klasson, Hedvig Kjellström, Cheng Zhang:
Learn the Time to Learn: Replay Scheduling in Continual Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c76]Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Härenstam-Nielsen, Hossein Azizpour, Hedvig Kjellström, Daniel Cremers, Matteo Poggi:
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. ICCV 2023: 16502-16513 - [c75]Wenjie Yin, Ruibo Tu, Hang Yin, Danica Kragic, Hedvig Kjellström, Mårten Björkman:
Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models. RO-MAN 2023: 1102-1108 - [c74]Sofia Broomé, Ernest Pokropek, Boyu Li, Hedvig Kjellström:
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition. WACV 2023: 4188-4198 - [i53]Wenjie Yin, Ruibo Tu, Hang Yin, Danica Kragic, Hedvig Kjellström, Mårten Björkman:
Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models. CoRR abs/2304.04681 (2023) - [i52]Ernest Pokropek, Sofia Broomé, Pia Haubro Andersen, Hedvig Kjellström:
Predictive Modeling of Equine Activity Budgets Using a 3D Skeleton Reconstructed from Surveillance Recordings. CoRR abs/2306.05311 (2023) - [i51]Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Härenstam-Nielsen, Hossein Azizpour, Hedvig Kjellström, Daniel Cremers, Matteo Poggi:
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. CoRR abs/2307.15063 (2023) - 2022
- [j16]Atsuto Maki, Danica Kragic, Hedvig Kjellström, Hossein Azizpour, Josephine Sullivan, Mårten Björkman, Patric Jensfelt, Stefan Carlsson, Tony Lindeberg, Yngve Sundblad:
In Memoriam: Jan-Olof Eklundh. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4488-4489 (2022) - [c73]Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill D. F. Campbell:
Aligned Multi-Task Gaussian Process. AISTATS 2022: 2970-2988 - [c72]Taras Kucherenko, Rajmund Nagy, Michael Neff, Hedvig Kjellström, Gustav Eje Henter:
Multimodal Analysis of the Predictability of Hand-gesture Properties. AAMAS 2022: 770-779 - [c71]Ruibo Tu, Kun Zhang, Hedvig Kjellström, Cheng Zhang:
Optimal Transport for Causal Discovery. ICLR 2022 - [c70]Maheen Rashid, Sofia Broomé, Katrina Ask, Elin Hernlund, Pia Haubro Andersen, Hedvig Kjellström, Yong Jae Lee:
Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation. WACV 2022: 152-162 - [i50]Ruibo Tu, Kun Zhang, Hedvig Kjellström, Cheng Zhang:
Optimal transport for causal discovery. CoRR abs/2201.09366 (2022) - [i49]Sofia Broomé, Marcelo Feighelstein, Anna Zamansky, Gabriel Carreira Lencioni, Pia Haubro Andersen, Francisca Pessanha, Marwa Mahmoud, Hedvig Kjellström, Albert Ali Salah:
Going Deeper than Tracking: a Survey of Computer-Vision Based Recognition of Animal Pain and Affective States. CoRR abs/2206.08405 (2022) - [i48]Marcus Klasson, Hedvig Kjellström, Cheng Zhang:
Learn the Time to Learn: Replay Scheduling in Continual Learning. CoRR abs/2209.08660 (2022) - 2021
- [j15]Patrik Jonell, Birger Moëll, Krister Håkansson, Gustav Eje Henter, Taras Kucherenko, Olga Mikheeva, Göran Hagman, Jasper Holleman, Miia Kivipelto, Hedvig Kjellström, Joakim Gustafson, Jonas Beskow:
Multimodal Capture of Patient Behaviour for Improved Detection of Early Dementia: Clinical Feasibility and Preliminary Results. Frontiers Comput. Sci. 3: 642633 (2021) - [j14]Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko, Gustav Eje Henter, Hedvig Kjellström:
Moving Fast and Slow: Analysis of Representations and Post-Processing in Speech-Driven Automatic Gesture Generation. Int. J. Hum. Comput. Interact. 37(14): 1300-1316 (2021) - [c69]Benjamin Christoffersen, Mark Clements, Keith Humphreys, Hedvig Kjellström:
Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types. ACML 2021: 870-885 - [c68]Rajmund Nagy, Taras Kucherenko, Birger Moëll, André Pereira, Hedvig Kjellström, Ulysses Bernardet:
A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents. AAMAS 2021: 1779-1781 - [c67]Moein Sorkhei, Gustav Eje Henter, Hedvig Kjellström:
Full-Glow: Fully Conditional Glow for More Realistic Image Generation. GCPR 2021: 697-711 - [c66]Taras Kucherenko, Rajmund Nagy, Patrik Jonell, Michael Neff, Hedvig Kjellström, Gustav Eje Henter:
Speech2Properties2Gestures: Gesture-Property Prediction as a Tool for Generating Representational Gestures from Speech. IVA 2021: 145-147 - [i47]Chenda Zhang, Hedvig Kjellström:
A Subjective Model of Human Decision Making Based on Quantum Decision Theory. CoRR abs/2101.05851 (2021) - [i46]Benjamin Christoffersen, Mark Clements, Keith Humphreys, Hedvig Kjellström:
Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types. CoRR abs/2102.02642 (2021) - [i45]Zhenghong Li, Sofia Broomé, Pia Haubro Andersen, Hedvig Kjellström:
Automated Detection of Equine Facial Action Units. CoRR abs/2102.08983 (2021) - [i44]Rajmund Nagy, Taras Kucherenko, Birger Moëll, André Pereira, Hedvig Kjellström, Ulysses Bernardet:
A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents. CoRR abs/2102.12302 (2021) - [i43]Sofia Broomé, Katrina Ask, Maheen Rashid, Pia Haubro Andersen, Hedvig Kjellström:
Sharing Pain: Using Domain Transfer Between Pain Types for Recognition of Sparse Pain Expressions in Horses. CoRR abs/2105.10313 (2021) - [i42]Ci Li, Nima Ghorbani, Sofia Broomé, Maheen Rashid, Michael J. Black, Elin Hernlund, Hedvig Kjellström, Silvia Zuffi:
hSMAL: Detailed Horse Shape and Pose Reconstruction for Motion Pattern Recognition. CoRR abs/2106.10102 (2021) - [i41]Taras Kucherenko, Rajmund Nagy, Patrik Jonell, Michael Neff, Hedvig Kjellström, Gustav Eje Henter:
Speech2Properties2Gestures: Gesture-Property Prediction as a Tool for Generating Representational Gestures from Speech. CoRR abs/2106.14736 (2021) - [i40]Taras Kucherenko, Rajmund Nagy, Michael Neff, Hedvig Kjellström, Gustav Eje Henter:
Multimodal analysis of the predictability of hand-gesture properties. CoRR abs/2108.05762 (2021) - [i39]Maheen Rashid, Sofia Broomé, Katrina Ask, Elin Hernlund, Pia Haubro Andersen, Hedvig Kjellström, Yong Jae Lee:
Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation. CoRR abs/2108.13258 (2021) - [i38]Carles Balsells Rodas, Ruibo Tu, Hedvig Kjellström:
Causal discovery from conditionally stationary time-series. CoRR abs/2110.06257 (2021) - [i37]Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill D. F. Campbell:
Aligned Multi-Task Gaussian Process. CoRR abs/2110.15761 (2021) - [i36]Sofia Broomé, Ernest Pokropek, Boyu Li, Hedvig Kjellström:
Recur, Attend or Convolve? Frame Dependency Modeling Matters for Cross-Domain Robustness in Action Recognition. CoRR abs/2112.12175 (2021) - 2020
- [j13]Marcus Klasson, Cheng Zhang, Hedvig Kjellström:
Using Variational Multi-view Learning for Classification of Grocery Items. Patterns 1(8): 100143 (2020) - [c65]Joonatan Mänttäri, Sofia Broomé, John Folkesson, Hedvig Kjellström:
Interpreting Video Features: A Comparison of 3D Convolutional Networks and Convolutional LSTM Networks. ACCV (5) 2020: 411-426 - [c64]Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel:
Non-Parametric Calibration for Classification. AISTATS 2020: 178-190 - [c63]Taras Kucherenko, Patrik Jonell, Sanne van Waveren, Gustav Eje Henter, Simon Alexandersson, Iolanda Leite, Hedvig Kjellström:
Gesticulator: A framework for semantically-aware speech-driven gesture generation. ICMI 2020: 242-250 - [c62]Carl Ringqvist, Judith Bütepage, Hedvig Kjellström, Henrik Hult:
Interpolation in Auto Encoders with Bridge Processes. ICPR 2020: 5973-5980 - [c61]Pier Luigi Dovesi, Matteo Poggi, Lorenzo Andraghetti, Miquel Martí, Hedvig Kjellström, Alessandro Pieropan, Stefano Mattoccia:
Real-Time Semantic Stereo Matching. ICRA 2020: 10780-10787 - [c60]Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellström, Kun Zhang, Cheng Zhang:
How do fair decisions fare in long-term qualification? NeurIPS 2020 - [c59]Maheen Rashid, Hedvig Kjellström, Yong Jae Lee:
Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks. WACV 2020: 604-613 - [i35]Taras Kucherenko, Patrik Jonell, Sanne van Waveren, Gustav Eje Henter, Simon Alexanderson, Iolanda Leite, Hedvig Kjellström:
Gesticulator: A framework for semantically-aware speech-driven gesture generation. CoRR abs/2001.09326 (2020) - [i34]Olga Mikheeva, Ieva Kazlauskaite, Hedvig Kjellström, Carl Henrik Ek:
Bayesian nonparametric shared multi-sequence time series segmentation. CoRR abs/2001.09886 (2020) - [i33]Joonatan Mänttäri, Sofia Broomé, John Folkesson, Hedvig Kjellström:
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks. CoRR abs/2002.00367 (2020) - [i32]Maheen Rashid, Hedvig Kjellström, Yong Jae Lee:
Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks. CoRR abs/2002.01449 (2020) - [i31]Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko, Gustav Eje Henter, Hedvig Kjellström:
Moving fast and slow: Analysis of representations and post-processing in speech-driven automatic gesture generation. CoRR abs/2007.09170 (2020) - [i30]Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellström, Kun Zhang, Cheng Zhang:
How Do Fair Decisions Fare in Long-term Qualification? CoRR abs/2010.11300 (2020) - [i29]Moein Sorkhei, Gustav Eje Henter, Hedvig Kjellström:
Full-Glow: Fully conditional Glow for more realistic image generation. CoRR abs/2012.05846 (2020)
2010 – 2019
- 2019
- [j12]Cheng Zhang, Judith Bütepage, Hedvig Kjellström, Stephan Mandt:
Advances in Variational Inference. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 2008-2026 (2019) - [j11]Kalin Stefanov, Giampiero Salvi, Dimosthenis Kontogiorgos, Hedvig Kjellström, Jonas Beskow:
Modeling of Human Visual Attention in Multiparty Open-World Dialogues. ACM Trans. Hum. Robot Interact. 8(2): 8:1-8:21 (2019) - [c58]Ruibo Tu, Cheng Zhang, Paul Ackermann, Karthika Mohan, Hedvig Kjellström, Kun Zhang:
Causal Discovery in the Presence of Missing Data. AISTATS 2019: 1762-1770 - [c57]Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko, Gustav Eje Henter, Hedvig Kjellström:
On the Importance of Representations for Speech-Driven Gesture Generation. AAMAS 2019: 2072-2074 - [c56]Sara Eriksson, Åsa Unander-Scharin, Vincent Trichon, Carl Unander-Scharin, Hedvig Kjellström, Kristina Höök:
Dancing With Drones: Crafting Novel Artistic Expressions Through Intercorporeality. CHI 2019: 617 - [c55]Judith Bütepage, Hedvig Kjellström, Danica Kragic:
Predicting the What and How - a Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling. CVPR Workshops 2019: 2923-2926 - [c54]Sofia Broomé, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellström:
Dynamics Are Important for the Recognition of Equine Pain in Video. CVPR 2019: 12667-12676 - [c53]Taras Kucherenko, Dai Hasegawa, Gustav Eje Henter, Naoshi Kaneko, Hedvig Kjellström:
Analyzing Input and Output Representations for Speech-Driven Gesture Generation. IVA 2019: 97-104 - [c52]Charles Hamesse, Ruibo Tu, Paul Ackermann, Hedvig Kjellström, Cheng Zhang:
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation. MLHC 2019: 614-640 - [c51]Ruibo Tu, Kun Zhang, Bo C. Bertilson, Hedvig Kjellström, Cheng Zhang:
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation. NeurIPS 2019: 12773-12784 - [c50]Marcus Klasson, Cheng Zhang, Hedvig Kjellström:
A Hierarchical Grocery Store Image Dataset With Visual and Semantic Labels. WACV 2019: 491-500 - [i28]Marcus Klasson, Cheng Zhang, Hedvig Kjellström:
A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels. CoRR abs/1901.00711 (2019) - [i27]Sofia Broomé, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellström:
Dynamics are Important for the Recognition of Equine Pain in Video. CoRR abs/1901.02106 (2019) - [i26]Taras Kucherenko, Dai Hasegawa, Gustav Eje Henter, Naoshi Kaneko, Hedvig Kjellström:
Analyzing Input and Output Representations for Speech-Driven Gesture Generation. CoRR abs/1903.03369 (2019) - [i25]Ruibo Tu, Kun Zhang, Bo Christer Bertilson, Hedvig Kjellström, Cheng Zhang:
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation. CoRR abs/1906.01732 (2019) - [i24]Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel:
Non-Parametric Calibration for Classification. CoRR abs/1906.04933 (2019) - [i23]Pier Luigi Dovesi, Matteo Poggi, Lorenzo Andraghetti, Miquel Martí, Hedvig Kjellström, Alessandro Pieropan, Stefano Mattoccia:
Real-Time Semantic Stereo Matching. CoRR abs/1910.00541 (2019) - 2018
- [c49]Olga Mikheeva, Carl Henrik Ek, Hedvig Kjellström:
Perceptual Facial Expression Representation. FG 2018: 179-186 - [c48]Judith Bütepage, Hedvig Kjellström, Danica Kragic:
Anticipating Many Futures: Online Human Motion Prediction and Generation for Human-Robot Interaction. ICRA 2018: 1-9 - [c47]Charles Hamesse, Hedvig Kjellström, Paul Ackermann, Cheng Zhang:
Simultaneous measurement imputation and outcome prediction for Achilles tendon rupture rehabilitation. AIH@IJCAI 2018: 82-86 - [i22]Sergio Caccamo, Püren Güler, Hedvig Kjellström, Danica Kragic:
Active Perception and Modeling of Deformable Surfaces using Gaussian Processes and Position-based Dynamics. CoRR abs/1802.04691 (2018) - [i21]Taras Kucherenko, Hedvig Kjellström:
A Neural Network Approach to Missing Marker Reconstruction. CoRR abs/1803.02665 (2018) - [i20]Ruibo Tu, Cheng Zhang, Paul Ackermann, Hedvig Kjellström, Kun Zhang:
Causal discovery in the presence of missing data. CoRR abs/1807.04010 (2018) - [i19]Judith Bütepage, Hedvig Kjellström, Danica Kragic:
Classify, predict, detect, anticipate and synthesize: Hierarchical recurrent latent variable models for human activity modeling. CoRR abs/1809.08875 (2018) - [i18]Charles Hamesse, Ruibo Tu, Paul Ackermann, Hedvig Kjellström, Cheng Zhang:
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation. CoRR abs/1810.03435 (2018) - [i17]Samuel Murray, Hedvig Kjellström:
Mixed Likelihood Gaussian Process Latent Variable Model. CoRR abs/1811.07627 (2018) - 2017
- [c46]Judith Bütepage, Michael J. Black, Danica Kragic, Hedvig Kjellström:
Deep Representation Learning for Human Motion Prediction and Classification. CVPR 2017: 1591-1599 - [c45]Kelly Karipidou, Josefin Ahnlund, Anders Friberg, Simon Alexanderson, Hedvig Kjellström:
Computer Analysis of Sentiment Interpretation in Musical Conducting. FG 2017: 400-405 - [c44]Yanxia Zhang, Jonas Beskow, Hedvig Kjellström:
Look but Don't Stare: Mutual Gaze Interaction in Social Robots. ICSR 2017: 556-566 - [c43]Cheng Zhang, Hedvig Kjellström, Stephan Mandt:
Balanced Mini-batch Sampling for SGD Using Determinantal Point Processes. UAI 2017 - [i16]Judith Bütepage, Michael J. Black, Danica Kragic, Hedvig Kjellström:
Deep representation learning for human motion prediction and classification. CoRR abs/1702.07486 (2017) - [i15]Judith Bütepage, Hedvig Kjellström, Danica Kragic:
Anticipating many futures: Online human motion prediction and synthesis for human-robot collaboration. CoRR abs/1702.08212 (2017) - [i14]Cheng Zhang, Hedvig Kjellström, Stephan Mandt:
Stochastic Learning on Imbalanced Data: Determinantal Point Processes for Mini-batch Diversification. CoRR abs/1705.00607 (2017) - [i13]Patrik Jonell, Joseph Mendelson, Thomas Storskog, Goran Hagman, Per Östberg, Iolanda Leite, Taras Kucherenko, Olga Mikheeva, Ulrika Akenine, Vesna Jelic, Alina Solomon, Jonas Beskow, Joakim Gustafson, Miia Kivipelto, Hedvig Kjellström:
Machine Learning and Social Robotics for Detecting Early Signs of Dementia. CoRR abs/1709.01613 (2017) - [i12]Cheng Zhang, Judith Bütepage, Hedvig Kjellström, Stephan Mandt:
Advances in Variational Inference. CoRR abs/1711.05597 (2017) - [i11]Marcus Klasson, Kun Zhang, Bo C. Bertilson, Cheng Zhang, Hedvig Kjellström:
Causality Refined Diagnostic Prediction. CoRR abs/1711.10915 (2017) - 2016
- [j10]Alessandro Pieropan, Niklas Bergström, Masatoshi Ishikawa, Hedvig Kjellström:
Robust and adaptive keypoint-based object tracking. Adv. Robotics 30(4): 258-269 (2016) - [c42]Judith Bütepage, Hedvig Kjellström, Danica Kragic:
Social Affordance Tracking over Time - A Sensorimotor Account of False-Belief Tasks. CogSci 2016 - [c41]Cheng Zhang, Hedvig Kjellström, Carl Henrik Ek:
Inter-battery Topic Representation Learning. ECCV (8) 2016: 210-226 - [c40]Sergio Caccamo, Püren Güler, Hedvig Kjellström, Danica Kragic:
Active perception and modeling of deformable surfaces using Gaussian processes and position-based dynamics. Humanoids 2016: 530-537 - [c39]André Eriksson, Hedvig Kjellström:
A Formal Approach to Anomaly Detection. ICPRAM 2016: 317-326 - [c38]Alessandro Pieropan, Niklas Bergström, Masatoshi Ishikawa, Danica Kragic, Hedvig Kjellström:
Robust tracking of unknown objects through adaptive size estimation and appearance learning. ICRA 2016: 559-566 - [c37]Cheng Zhang, Hedvig Kjellström, Carl Henrik Ek, Bo C. Bertilson:
Diagnostic Prediction Using Discomfort Drawings with IBTM. MLHC 2016: 226-238 - [i10]Cheng Zhang, Hedvig Kjellström, Carl Henrik Ek:
Inter-Battery Topic Representation Learning. CoRR abs/1605.06155 (2016) - [i9]Cheng Zhang, Hedvig Kjellström, Carl Henrik Ek, Bo C. Bertilson:
Diagnostic Prediction Using Discomfort Drawings with IBTM. CoRR abs/1607.08206 (2016) - [i8]David Gerónimo, Hedvig Kjellström:
Generative One-Class Models for Text-based Person Retrieval in Forensic Applications. CoRR abs/1611.05915 (2016) - [i7]Cheng Zhang, Hedvig Kjellström, Bo C. Bertilson:
Diagnostic Prediction Using Discomfort Drawings. CoRR abs/1612.01356 (2016) - [i6]An Qu, Cheng Zhang, Paul Ackermann, Hedvig Kjellström:
Bridging Medical Data Inference to Achilles Tendon Rupture Rehabilitation. CoRR abs/1612.02490 (2016) - 2015
- [c36]Piiren Giiler, Karl Pauwels, Alessandro Pieropan, Hedvig Kjellström, Danica Kragic:
Estimating the deformability of elastic materials using optical flow and position-based dynamics. Humanoids 2015: 965-971 - [c35]Alessandro Pieropan, Niklas Bergström, Masatoshi Ishikawa, Hedvig Kjellström:
Robust 3D tracking of unknown objects. ICRA 2015: 2410-2417 - 2014
- [c34]Cheng Zhang, Hedvig Kjellström:
How to Supervise Topic Models. ECCV Workshops (2) 2014: 500-515 - [c33]Alessandro Pieropan, Carl Henrik Ek, Hedvig Kjellström:
Recognizing object affordances in terms of spatio-temporal object-object relationships. Humanoids 2014: 52-58 - [c32]David Gerónimo, Hedvig Kjellström:
Unsupervised Surveillance Video Retrieval Based on Human Action and Appearance. ICPR 2014: 4630-4635 - [c31]Alessandro Pieropan, Giampiero Salvi, Karl Pauwels, Hedvig Kjellström:
Audio-visual classification and detection of human manipulation actions. IROS 2014: 3045-3052 - [c30]Alessandro Pieropan, Hedvig Kjellström:
Unsupervised object exploration using context. RO-MAN 2014: 499-506 - 2013
- [j9]Javier Romero, Hedvig Kjellström, Carl Henrik Ek, Danica Kragic:
Non-parametric hand pose estimation with object context. Image Vis. Comput. 31(8): 555-564 (2013) - [j8]Javier Romero, Thomas Feix, Carl Henrik Ek, Hedvig Kjellström, Danica Kragic:
Extracting Postural Synergies for Robotic Grasping. IEEE Trans. Robotics 29(6): 1342-1352 (2013) - [c29]Akshaya Thippur, Carl Henrik Ek, Hedvig Kjellström:
Inferring hand pose: A comparative study of visual shape features. FG 2013: 1-8 - [c28]Cheng Zhang, Carl Henrik Ek, Xavi Gratal, Florian T. Pokorny, Hedvig Kjellström:
Supervised Hierarchical Dirichlet Processes with Variational Inference. ICCV Workshops 2013: 254-261 - [c27]Martin Hjelm, Carl Henrik Ek, Renaud Detry, Hedvig Kjellström, Danica Kragic:
Sparse summarization of robotic grasping data. ICRA 2013: 1082-1087 - [c26]Alessandro Pieropan, Carl Henrik Ek, Hedvig Kjellström:
Functional object descriptors for human activity modeling. ICRA 2013: 1282-1289 - [c25]Cheng Zhang, Dan Song, Hedvig Kjellström:
Contextual modeling with labeled multi-LDA. IROS 2013: 2264-2271 - [c24]Cheng Zhang, Carl Henrik Ek, Hedvig Kjellström:
Factorized Topic Models. ICLR (Workshop Poster) 2013 - [i5]Cheng Zhang, Hedvig Kjellström:
Multi-Class Detection and Segmentation of Objects in Depth. CoRR abs/1301.5582 (2013) - 2012
- [c23]Florian T. Pokorny, Carl Henrik Ek, Hedvig Kjellström, Danica Kragic:
Persistent Homology for Learning Densities with Bounded Support. NIPS 2012: 1826-1834 - [i4]Saad Akram, Jonas Beskow, Hedvig Kjellström:
Visual Recognition of Isolated Swedish Sign Language Signs. CoRR abs/1211.3901 (2012) - 2011
- [j7]San Mohan, Volker Krüger, Danica Kragic, Hedvig Kjellström:
Primitive-Based Action Representation and Recognition. Adv. Robotics 25(6-7): 871-891 (2011) - [j6]Hedvig Kjellström, Javier Romero, Danica Kragic:
Visual object-action recognition: Inferring object affordances from human demonstration. Comput. Vis. Image Underst. 115(1): 81-90 (2011) - [p1]Hedvig Kjellström:
Contextual Action Recognition. Visual Analysis of Humans 2011: 355-376 - 2010
- [c22]Hedvig Kjellström, Danica Kragic, Michael J. Black:
Tracking people interacting with objects. CVPR 2010: 747-754 - [c21]Javier Romero, Hedvig Kjellström, Danica Kragic:
Hands in action: real-time 3D reconstruction of hands in interaction with objects. ICRA 2010: 458-463 - [c20]Javier Romero, Thomas Feix, Hedvig Kjellström, Danica Kragic:
Spatio-temporal modeling of grasping actions. IROS 2010: 2103-2108
2000 – 2009
- 2009
- [j5]Hedvig Kjellström, Olov Engwall:
Audiovisual-to-articulatory inversion. Speech Commun. 51(3): 195-209 (2009) - [c19]Javier Romero, Hedvig Kjellström, Danica Kragic:
Monocular real-time 3D articulated hand pose estimation. Humanoids 2009: 87-92 - [c18]Martin Do, Javier Romero, Hedvig Kjellström, Pedram Azad, Tamim Asfour, Danica Kragic, Rüdiger Dillmann:
Grasp recognition and mapping on humanoid robots. Humanoids 2009: 465-471 - [c17]Javier Romero, Hedvig Kjellström, Danica Kragic:
Modeling and evaluation of human-to-robot mapping of grasps. ICAR 2009: 1-6 - 2008
- [c16]Hedvig Kjellström, Javier Romero, David Martínez Mercado, Danica Kragic:
Simultaneous Visual Recognition of Manipulation Actions and Manipulated Objects. ECCV (2) 2008: 336-349 - [c15]Hedvig Kjellström, Javier Romero, Danica Kragic:
Visual recognition of grasps for human-to-robot mapping. IROS 2008: 3192-3199 - 2007
- [j4]Simon Ahlberg, Pontus Hörling, Katarina Johansson, Karsten Jöred, Hedvig Kjellström, Christian Mårtenson, Göran Neider, Johan Schubert, Pontus Svenson, Per Svensson:
An information fusion demonstrator for tactical intelligence processing in network-based defense. Inf. Fusion 8(1): 84-107 (2007) - [c14]Sy Bor Wang, David Demirdjian, Trevor Darrell, Hedvig Kjellström:
Multimodal communication error detection for driver-car interaction. ICINCO-RA (1) 2007: 365-371 - [c13]Hedvig Kjellström, Olov Engwall, Sherif Mahdy Abdou, Olle Bälter:
Audio-visual phoneme classification for pronunciation training applications. INTERSPEECH 2007: 702-705 - 2006
- [j3]Olov Engwall, Olle Bälter, Anne-Marie Öster, Hedvig Kjellström:
Designing the user interface of the computer-based speech training system ARTUR based on early user tests. Behav. Inf. Technol. 25(4): 353-365 (2006) - [c12]Olov Engwall, Olle Bälter, Anne-Marie Öster, Hedvig Kjellström:
Feedback management in the pronunciation training system ARTUR. CHI Extended Abstracts 2006: 231-234 - [c11]Hedvig Kjellström, Olov Engwall, Olle Bälter:
Reconstructing tongue movements from audio and video. INTERSPEECH 2006 - 2005
- [j2]Dirk Ormoneit, Michael J. Black, Trevor Hastie, Hedvig Kjellström:
Representing cyclic human motion using functional analysis. Image Vis. Comput. 23(14): 1264-1276 (2005) - [c10]Olle Bälter, Olov Engwall, Anne-Marie Öster, Hedvig Kjellström:
Wizard-of-Oz test of ARTUR: a computer-based speech training system with articulation correction. ASSETS 2005: 36-43 - 2004
- [c9]Hedvig Sidenbladh:
Detecting Human Motion with Support Vector Machines. ICPR (2) 2004: 188-191 - [i3]Hedvig Sidenbladh, Pontus Svenson, Johan Schubert:
Comparing Multi-Target Trackers on Different Force Unit Levels. CoRR cs.AI/0411071 (2004) - 2003
- [j1]Hedvig Sidenbladh, Michael J. Black:
Learning the Statistics of People in Images and Video. Int. J. Comput. Vis. 54(1-3): 183-209 (2003) - [c8]Hedvig Sidenbladh, Sven-Lennart Wirkander:
Tracking Random Sets of Vehicles in Terrain. CVPR Workshops 2003: 98 - [i2]Hedvig Sidenbladh:
Multi-target particle filtering for the probability hypothesis density. CoRR cs.AI/0303018 (2003) - [i1]Pontus Svenson, Hedvig Sidenbladh:
Determining possible avenues of approach using ANTS. CoRR nlin.AO/0304006 (2003) - 2002
- [c7]Hedvig Sidenbladh, Michael J. Black, Leonid Sigal:
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking. ECCV (1) 2002: 784-800 - [c6]Matthieu Bray, Hedvig Sidenbladh, Jan-Olof Eklundh:
Recognition of Gestures in the Context of Speech. ICPR (1) 2002: 356-359 - 2001
- [c5]Hedvig Sidenbladh, Michael J. Black:
Learning Image Statistics for Bayesian Tracking. ICCV 2001: 709-716 - 2000
- [c4]Hedvig Sidenbladh, Michael J. Black, David J. Fleet:
Stochastic Tracking of 3D Human Figures Using 2D Image Motion. ECCV (2) 2000: 702-718 - [c3]Hedvig Sidenbladh, Fernando De la Torre, Michael J. Black:
A Framework for Modeling the Appearance of 3D Articulated Figures. FG 2000: 368-377 - [c2]Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black, Trevor Hastie:
Learning and Tracking Cyclic Human Motion. NIPS 2000: 894-900
1990 – 1999
- 1999
- [c1]Hedvig Sidenbladh, Danica Kragic, Henrik I. Christensen:
A Person Following Behaviour for a Mobile Robot. ICRA 1999: 670-675
Coauthor Index
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