Mårten Björkman

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 85

Top Venues

Publications

Wenjie Yin, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman
Scalable Motion Style Transfer with Constrained Diffusion Generation. AAAI (2024)
Wenjie Yin, Xuejiao Zhao, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman
LM2D: Lyrics- and Music-Driven Dance Synthesis. CoRR (2024)
Yuchong Zhang, Nona Rajabi, Farzaneh Taleb, Andrii Matviienko, Yong Ma, Mårten Björkman, Danica Kragic
Mind Meets Robots: A Review of EEG-Based Brain-Robot Interaction Systems. CoRR (2024)
Yuchong Zhang, Miguel Vasco, Mårten Björkman, Danica Kragic
Will You Participate? Exploring the Potential of Robotics Competitions on Human-centric Topics. CoRR (2024)
Yuchong Zhang, Miguel Vasco, Mårten Björkman, Danica Kragic
Will You Participate? Exploring the Potential of Robotics Competitions on Human-Centric Topics. HCI (2) (2024)
Xiaomeng Zhu, Talha Bilal, Pär Mårtensson, Lars Hanson, Mårten Björkman, Atsuto Maki
Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset. CoRR (2024)
Matteo Gamba, Hossein Azizpour, Mårten Björkman
On the Lipschitz Constant of Deep Networks and Double Descent. BMVC (2023)
Parag Khanna, Mårten Björkman, Christian Smith
Data-driven Grip Force Variation in Robot-Human Handovers. CoRR (2023)
Wenjie Yin, Qingyuan Yao, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman
Music- and Lyrics-driven Dance Synthesis. CoRR (2023)
Parag Khanna, Elmira Yadollahi, Mårten Björkman, Iolanda Leite, Christian Smith
Effects of Explanation Strategies to Resolve Failures in Human-Robot Collaboration. CoRR (2023)
Wenjie Yin, Ruibo Tu, Hang Yin, Danica Kragic, Hedvig Kjellström, Mårten Björkman
Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models. RO-MAN (2023)
Xiaomeng Zhu, Talha Bilal, Pär Mårtensson, Lars Hanson, Mårten Björkman, Atsuto Maki
Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset. CVPR Workshops (2023)
Nona Rajabi, Charles Chernik, Alfredo Reichlin, Farzaneh Taleb, Miguel Vasco, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic
Mental Face Image Retrieval Based on a Closed-Loop Brain-Computer Interface. HCI (9) (2023)
Reza Dadfar, Sanaz Sabzevari, Mårten Björkman, Danica Kragic
TD-GEM: Text-Driven Garment Editing Mapper. CoRR (2023)
Temitayo A. Olugbade, Marta Bienkiewicz, Giulia Barbareschi, Vincenzo D'Amato, Luca Oneto, Antonio Camurri, Catherine Holloway, Mårten Björkman, Peter E. Keller, Martin Clayton, Amanda C. de C. Williams, Nicolas Gold, Cristina Becchio, Benoît G. Bardy, Nadia Bianchi-Berthouze
Human Movement Datasets: An Interdisciplinary Scoping Review. ACM Comput. Surv. 55 (6) (2023)
Tanay Rastogi, Mårten Björkman
Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequence. CoRR (2023)
Wenjie Yin, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman
Scalable Motion Style Transfer with Constrained Diffusion Generation. CoRR (2023)
Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Diffusion-based Time Series Data Imputation for Microsoft 365. CoRR (2023)
Parag Khanna, Elmira Yadollahi, Mårten Björkman, Iolanda Leite, Christian Smith
Effects of Explanation Strategies to Resolve Failures in Human-Robot Collaboration. RO-MAN (2023)
Parag Khanna, Elmira Yadollahi, Iolanda Leite, Mårten Björkman, Christian Smith
How do Humans take an Object from a Robot: Behavior changes observed in a User Study. HAI (2023)
Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365. ESEC/SIGSOFT FSE (2023)
Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman
Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations. ICLR (2023)
Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour
Deep Double Descent via Smooth Interpolation. Trans. Mach. Learn. Res. 2023 (2023)
Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman
Dance Style Transfer with Cross-modal Transformer. WACV (2023)
Sanaz Sabzevari, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic
PG-3DVTON: Pose-Guided 3D Virtual Try-on Network. VISIGRAPP (4: VISAPP) (2023)
Matteo Gamba, Hossein Azizpour, Mårten Björkman
On the Lipschitz Constant of Deep Networks and Double Descent. CoRR (2023)
Jia Fu, Jiarui Tan, Wenjie Yin, Sepideh Pashami, Mårten Björkman
Component attention network for multimodal dance improvisation recognition. ICMI (2023)
Wenjie Yin, Ruibo Tu, Hang Yin, Danica Kragic, Hedvig Kjellström, Mårten Björkman
Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models. CoRR (2023)
Jia Fu, Jiarui Tan, Wenjie Yin, Sepideh Pashami, Mårten Björkman
Component attention network for multimodal dance improvisation recognition. CoRR (2023)
Marcel Büsching, Josef Bengtson, David Nilsson, Mårten Björkman
FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes. CoRR (2023)
Nona Rajabi, Parag Khanna, Sümeyra Demir Kanik, Elmira Yadollahi, Miguel Vasco, Mårten Björkman, Christian Smith, Danica Kragic
Detecting the Intention of Object Handover in Human-Robot Collaborations: An EEG Study. RO-MAN (2023)
Parag Khanna, Mårten Björkman, Christian Smith
A Multimodal Data Set of Human Handovers with Design Implications for Human-Robot Handovers. RO-MAN (2023)
Reza Dadfar, Sanaz Sabzevari, Mårten Björkman, Danica Kragic
TD-GEM: Text-Driven Garment Editing Mapper. BMVC (2023)
Tanay Rastogi, Mårten Björkman
Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequences. ITSC (2023)
Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman
Multimodal dance style transfer. Mach. Vis. Appl. 34 (4) (2023)
Parag Khanna, Elmira Yadollahi, Mårten Björkman, Iolanda Leite, Christian Smith
User Study Exploring the Role of Explanation of Failures by Robots in Human Robot Collaboration Tasks. CoRR (2023)
Parag Khanna, Mårten Björkman, Christian Smith
A Multimodal Data Set of Human Handovers with Design Implications for Human-Robot Handovers. CoRR (2023)
Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Mårten Björkman
Are All Linear Regions Created Equal? AISTATS (2022)
Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour
Deep Double Descent via Smooth Interpolation. CoRR (2022)
Parag Khanna, Mårten Björkman, Christian Smith
Human Inspired Grip-Release Technique for Robot-Human Handovers. Humanoids (2022)
Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman
Dance Style Transfer with Cross-modal Transformer. CoRR (2022)
Gustaf Tegnér, Alfredo Reichlin, Hang Yin, Mårten Björkman, Danica Kragic
On the Subspace Structure of Gradient-Based Meta-Learning. CoRR (2022)
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) (2022)
Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Mårten Björkman
Are All Linear Regions Created Equal? CoRR (2022)
Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman
Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models. J. Mach. Learn. Res. 23 (2022)
Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models. CoRR (2022)
Jón R. Baldvinsson, Milad Ganjalizadeh, Abdulrahman Alabbasi, Mårten Björkman, Amir Hossein Payberah
IL-GAN: Rare Sample Generation via Incremental Learning in GANs. GLOBECOM (2022)
Jonathan Styrud, Matteo Iovino, Mikael Norrlöf, Mårten Björkman, Christian Smith
Combining Planning and Learning of Behavior Trees for Robotic Assembly. ICRA (2022)
Sumeyra Demir Kanik, Wenjie Yin, Arzu Guneysu Ozgur, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic
Improving EEG-based Motor Execution Classification for Robot Control. HCI (14) (2022)
Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman
Monte Carlo Filtering Objectives. IJCAI (2021)
Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mårten Björkman, Danica Kragic
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms. CoRR (2021)
Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mårten Björkman, Danica Kragic
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms. IROS (2021)
Jonathan Styrud, Matteo Iovino, Mikael Norrlöf, Mårten Björkman, Christian Smith
Combining Planning and Learning of Behavior Trees for Robotic Assembly. CoRR (2021)
Wenjie Yin, Hang Yin, Danica Kragic, Mårten Björkman
Graph-based Normalizing Flow for Human Motion Generation and Reconstruction. CoRR (2021)
Ali Ghadirzadeh, Xi Chen, Wenjie Yin, Zhengrong Yi, Mårten Björkman, Danica Kragic
Human-Centered Collaborative Robots With Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 6 (2) (2021)
Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman
Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series. CoRR (2021)
M. M. N. Bienkiewicz, A. Smykovskyi, Temitayo A. Olugbade, S. Janaqi, Antonio Camurri, Nadia Bianchi-Berthouze, Mårten Björkman, Benoît G. Bardy
Bridging the gap between emotion and joint action. CoRR (2021)
Wenjie Yin, Hang Yin, Danica Kragic, Mårten Björkman
Graph-based Normalizing Flow for Human Motion Generation and Reconstruction. RO-MAN (2021)
Artur Czeszumski, Anna L. Gert, Ashima Keshava, Ali Ghadirzadeh, Tilman Kalthoff, Benedikt V. Ehinger, Max Tiessen, Mårten Björkman, Danica Kragic, Peter König
Coordinating With a Robot Partner Affects Neural Processing Related to Action Monitoring. Frontiers Neurorobotics 15 (2021)
Magnus Tarle, Mårten Björkman, Mats Larsson, Lars Nordström, Gunnar Ingeström
A World Model Based Reinforcement Learning Architecture for Autonomous Power System Control. SmartGridComm (2021)
Ali Ghadirzadeh, Petra Poklukar, Ville Kyrki, Danica Kragic, Mårten Björkman
Data-efficient visuomotor policy training using reinforcement learning and generative models. CoRR (2020)
Ali Ghadirzadeh, Xi Chen, Wenjie Yin, Zhengrong Yi, Mårten Björkman, Danica Kragic
Human-centered collaborative robots with deep reinforcement learning. CoRR (2020)
Judith Bütepage, Ali Ghadirzadeh, Özge Öztimur Karadag, Mårten Björkman, Danica Kragic
Imitating by Generating: Deep Generative Models for Imitation of Interactive Tasks. Frontiers Robotics AI 7 (2020)
Fangkai Yang, Wenjie Yin, Tetsunari Inamura, Mårten Björkman, Christopher E. Peters
Group Behavior Recognition Using Attention- and Graph-Based Neural Networks. ECAI (2020)
Matteo Gamba, Stefan Carlsson, Hossein Azizpour, Mårten Björkman
Hyperplane Arrangements of Trained ConvNets Are Biased. CoRR (2020)
Shuangshuang Chen, Sihao Ding, L. Srikar Muppirisetty, Yiannis Karayiannidis, Mårten Björkman
Amortized Variational Inference for Road Friction Estimation. IV (2020)
Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
Adversarial Feature Training for Generalizable Robotic Visuomotor Control. ICRA (2020)
Gabriela Zarzar Gandler, Carl Henrik Ek, Mårten Björkman, Rustam Stolkin, Yasemin Bekiroglu
Object shape estimation and modeling, based on sparse Gaussian process implicit surfaces, combining visual data and tactile exploration. Robotics Auton. Syst. 126 (2020)
Fangkai Yang, Wenjie Yin, Mårten Björkman, Christopher Peters
Impact of Trajectory Generation Methods on Viewer Perception of Robot Approaching Group Behaviors. RO-MAN (2020)
Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
Adversarial Feature Training for Generalizable Robotic Visuomotor Control. CoRR (2019)
Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
Meta-Learning for Multi-objective Reinforcement Learning. IROS (2019)
Matteo Gamba, Hossein Azizpour, Stefan Carlsson, Mårten Björkman
On the Geometry of Rectifier Convolutional Neural Networks. ICCV Workshops (2019)
Elena Sibirtseva, Ali Ghadirzadeh, Iolanda Leite, Mårten Björkman, Danica Kragic
Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality. CoRR (2019)
Elena Sibirtseva, Ali Ghadirzadeh, Iolanda Leite, Mårten Björkman, Danica Kragic
Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality. HCI (10) (2019)
Judith Bütepage, Ali Ghadirzadeh, Özge Öztimur Karadag, Mårten Björkman, Danica Kragic
Imitating by generating: deep generative models for imitation of interactive tasks. CoRR (2019)
Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
Meta-Learning for Multi-objective Reinforcement Learning. CoRR (2018)
Xi Chen, Ali Ghadirzadeh, John Folkesson, Mårten Björkman, Patric Jensfelt
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments. IROS (2018)
Ali Ghadirzadeh, Atsuto Maki, Danica Kragic, Mårten Björkman
Deep Predictive Policy Training using Reinforcement Learning. CoRR (2017)
Ali Ghadirzadeh, Atsuto Maki, Danica Kragic, Mårten Björkman
Deep predictive policy training using reinforcement learning. IROS (2017)
Ali Ghadirzadeh, Judith Bütepage, Danica Kragic, Mårten Björkman
Self-learning and adaptation in a sensorimotor framework. CoRR (2016)
Virgile Hogman, Mårten Björkman, Atsuto Maki, Danica Kragic
A Sensorimotor Learning Framework for Object Categorization. IEEE Trans. Cogn. Dev. Syst. 8 (1) (2016)
Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki, Danica Kragic, Mårten Björkman
A sensorimotor reinforcement learning framework for physical Human-Robot Interaction. IROS (2016)
Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki, Danica Kragic, Mårten Björkman
A Sensorimotor Reinforcement Learning Framework for Physical Human-Robot Interaction. CoRR (2016)
Ali Ghadirzadeh, Judith Bütepage, Danica Kragic, Mårten Björkman
Self-learning and adaptation in a sensorimotor framework. ICRA (2016)
Alessandro Pieropan, Mårten Björkman, Niklas Bergström, Danica Kragic
Feature Descriptors for Tracking by Detection: a Benchmark. CoRR (2016)
Ali Ghadirzadeh, Atsuto Maki, Mårten Björkman
A sensorimotor approach for self-learning of hand-eye coordination. IROS (2015)
Mårten Björkman, Niklas Bergström, Danica Kragic
Detecting, segmenting and tracking unknown objects using multi-label MRF inference. Comput. Vis. Image Underst. 118 (2014)
Ivan Lundberg, Mårten Björkman, Petter Ögren
Intrinsic camera and hand-eye calibration for a robot vision system using a point marker. Humanoids (2014)
Mårten Björkman, Yasemin Bekiroglu
Learning to disambiguate object hypotheses through self-exploration. Humanoids (2014)
Ali Ghadirzadeh, Gert Kootstra, Atsuto Maki, Mårten Björkman
Learning visual forward models to compensate for self-induced image motion. RO-MAN (2014)
Mårten Björkman, Yasemin Bekiroglu, Virgile Hogman, Danica Kragic
Enhancing visual perception of shape through tactile glances. IROS (2013)
Virgile Hogman, Mårten Björkman, Danica Kragic
Interactive object classification using sensorimotor contingencies. IROS (2013)
Lazaros Nalpantidis, Mårten Björkman, Danica Kragic
YES - YEt another object segmentation: Exploiting camera movement. IROS (2012)
Niklas Bergström, Mårten Björkman, Danica Kragic
Generating object hypotheses in natural scenes through human-robot interaction. IROS (2011)
Niklas Bergström, Carl Henrik Ek, Mårten Björkman, Danica Kragic
Scene Understanding through Autonomous Interactive Perception. ICVS (2011)
Babak Rasolzadeh, Mårten Björkman, Kai Huebner, Danica Kragic
An Active Vision System for Detecting, Fixating and Manipulating Objects in the Real World. Int. J. Robotics Res. 29 (2-3) (2010)
Jeannette Bohg, Matthew Johnson-Roberson, Mårten Björkman, Danica Kragic
Strategies for multi-modal scene exploration. IROS (2010)
Mårten Björkman, Danica Kragic
Active 3D Segmentation through Fixation of Previously Unseen Objects. BMVC (2010)
Mårten Björkman, Danica Kragic
Active 3D scene segmentation and detection of unknown objects. ICRA (2010)
Matthew Johnson-Roberson, Jeannette Bohg, Mårten Björkman, Danica Kragic
Attention-based active 3D point cloud segmentation. IROS (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mårten Björkman