Mårten Björkman

According to our database, Mårten Björkman authored at least 93 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Hand It to Me Formally! Data-Driven Control for Human-Robot Handovers With Signal Temporal Logic.

Parag Khanna, Jonathan Fredberg, Mårten Björkman, Christian Smith, Alexis Linard

IEEE Robotics Autom. Lett., October, 2024

Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks.

Alfredo Reichlin, Gustaf Tegnér, Miguel Vasco, Hang Yin, Mårten Björkman, Danica Kragic

CoRR, 2024

Automatic Behavior Tree Expansion with LLMs for Robotic Manipulation.

Jonathan Styrud, Matteo Iovino, Mikael Norrlöf, Mårten Björkman, Christian Smith

CoRR, 2024

LM2D: Lyrics- and Music-Driven Dance Synthesis.

Wenjie Yin, Xuejiao Zhao, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman

CoRR, 2024

Mind Meets Robots: A Review of EEG-Based Brain-Robot Interaction Systems.

Yuchong Zhang, Nona Rajabi, Farzaneh Taleb, Andrii Matviienko, Yong Ma, Mårten Björkman, Danica Kragic

CoRR, 2024

Will You Participate? Exploring the Potential of Robotics Competitions on Human-Centric Topics.

Yuchong Zhang, Miguel Vasco, Mårten Björkman, Danica Kragic

Proceedings of the Human-Computer Interaction, 2024

FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes.

Marcel Büsching, Josef Bengtson, David Nilsson, Mårten Björkman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Scalable Motion Style Transfer with Constrained Diffusion Generation.

Wenjie Yin, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multimodal dance style transfer.

Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman

Mach. Vis. Appl., July, 2023

Deep Double Descent via Smooth Interpolation.

Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour

Trans. Mach. Learn. Res., 2023

Human Movement Datasets: An Interdisciplinary Scoping Review.

Temitayo A. Olugbade, Marta Bienkiewicz, Giulia Barbareschi, Vincenzo Stefano 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

ACM Comput. Surv., 2023

Music- and Lyrics-driven Dance Synthesis.

Wenjie Yin, Qingyuan Yao, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman

CoRR, 2023

Diffusion-based Time Series Data Imputation for Microsoft 365.

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

CoRR, 2023

Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequence.

Tanay Rastogi, Mårten Björkman

CoRR, 2023

User Study Exploring the Role of Explanation of Failures by Robots in Human Robot Collaboration Tasks.

Parag Khanna, Elmira Yadollahi, Mårten Björkman, Iolanda Leite, Christian Smith

CoRR, 2023

Data-driven Grip Force Variation in Robot-Human Handovers.

Parag Khanna, Mårten Björkman, Christian Smith

CoRR, 2023

Dance Style Transfer with Cross-modal Transformer.

Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

PG-3DVTON: Pose-Guided 3D Virtual Try-on Network.

Sanaz Sabzevari, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365.

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

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models.

Wenjie Yin, Ruibo Tu, Hang Yin, Danica Kragic, Hedvig Kjellström, Mårten Björkman

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Detecting the Intention of Object Handover in Human-Robot Collaborations: An EEG Study.

Nona Rajabi, Parag Khanna, Sümeyra Demir Kanik, Elmira Yadollahi, Miguel Vasco, Mårten Björkman, Christian Smith, Danica Kragic

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Effects of Explanation Strategies to Resolve Failures in Human-Robot Collaboration.

Parag Khanna, Elmira Yadollahi, Mårten Björkman, Iolanda Leite, Christian Smith

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

A Multimodal Data Set of Human Handovers with Design Implications for Human-Robot Handovers.

Parag Khanna, Mårten Björkman, Christian Smith

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequences.

Tanay Rastogi, Mårten Björkman

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Component attention network for multimodal dance improvisation recognition.

Jia Fu, Jiarui Tan, Wenjie Yin, Sepideh Pashami, Mårten Björkman

Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations.

Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mental Face Image Retrieval Based on a Closed-Loop Brain-Computer Interface.

Nona Rajabi, Charles Chernik, Alfredo Reichlin, Farzaneh Taleb, Miguel Vasco, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic

Proceedings of the Augmented Cognition, 2023

How do Humans take an Object from a Robot: Behavior changes observed in a User Study.

Parag Khanna, Elmira Yadollahi, Iolanda Leite, Mårten Björkman, Christian Smith

Proceedings of the International Conference on Human-Agent Interaction, 2023

Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset.

Xiaomeng Zhu, Talha Bilal, Pär Mårtensson, Lars Hanson, Mårten Björkman, Atsuto Maki

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

On the Lipschitz Constant of Deep Networks and Double Descent.

Matteo Gamba, Hossein Azizpour, Mårten Björkman

Proceedings of the 34th British Machine Vision Conference 2023, 2023

TD-GEM: Text-Driven Garment Editing Mapper.

Reza Dadfar, Sanaz Sabzevari, Mårten Björkman, Danica Kragic

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

In Memoriam: Jan-Olof Eklundh.

Atsuto Maki, Danica Kragic, Hedvig Kjellström, Hossein Azizpour, Josephine Sullivan, Mårten Björkman, Patric Jensfelt, Stefan Carlsson, Tony Lindeberg, Yngve Sundblad

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models.

Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman

J. Mach. Learn. Res., 2022

On the Subspace Structure of Gradient-Based Meta-Learning.

Gustaf Tegnér, Alfredo Reichlin, Hang Yin, Mårten Björkman, Danica Kragic

CoRR, 2022

Combining Planning and Learning of Behavior Trees for Robotic Assembly.

Jonathan Styrud, Matteo Iovino, Mikael Norrlöf, Mårten Björkman, Christian Smith

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Human Inspired Grip-Release Technique for Robot-Human Handovers.

Parag Khanna, Mårten Björkman, Christian Smith

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

Improving EEG-based Motor Execution Classification for Robot Control.

Sumeyra Demir Kanik, Wenjie Yin, Arzu Guneysu Ozgur, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic

Proceedings of the Social Computing and Social Media: Design, User Experience and Impact, 2022

IL-GAN: Rare Sample Generation via Incremental Learning in GANs.

Jón R. Baldvinsson, Milad Ganjalizadeh, Abdulrahman Alabbasi, Mårten Björkman, Amir Hossein Payberah

Proceedings of the IEEE Global Communications Conference, 2022

Are All Linear Regions Created Equal?

Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Mårten Björkman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Human-Centered Collaborative Robots With Deep Reinforcement Learning.

Ali Ghadirzadeh, Xi Chen, Wenjie Yin, Zhengrong Yi, Mårten Björkman, Danica Kragic

IEEE Robotics Autom. Lett., 2021

Coordinating With a Robot Partner Affects Neural Processing Related to Action Monitoring.

Artur Czeszumski, Anna L. Gert, Ashima Keshava, Ali Ghadirzadeh, Tilman Kalthoff, Benedikt V. Ehinger, Max Tiessen, Mårten Björkman, Danica Kragic, Peter König

Frontiers Neurorobotics, 2021

Bridging the gap between emotion and joint action.

M. M. N. Bienkiewicz, A. Smykovskyi, Temitayo A. Olugbade, S. Janaqi, Antonio Camurri, Nadia Bianchi-Berthouze, Mårten Björkman, Benoît G. Bardy

CoRR, 2021

Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series.

Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman

CoRR, 2021

A World Model Based Reinforcement Learning Architecture for Autonomous Power System Control.

Magnus Tarle, Mårten Björkman, Mats Larsson, Lars Nordström, Gunnar Ingeström

Proceedings of the IEEE International Conference on Communications, 2021

Graph-based Normalizing Flow for Human Motion Generation and Reconstruction.

Wenjie Yin, Hang Yin, Danica Kragic, Mårten Björkman

Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms.

Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mårten Björkman, Danica Kragic

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Monte Carlo Filtering Objectives.

Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Object shape estimation and modeling, based on sparse Gaussian process implicit surfaces, combining visual data and tactile exploration.

Gabriela Zarzar Gandler, Carl Henrik Ek, Mårten Björkman, Rustam Stolkin, Yasemin Bekiroglu

Robotics Auton. Syst., 2020

Imitating by Generating: Deep Generative Models for Imitation of Interactive Tasks.

Judith Bütepage, Ali Ghadirzadeh, Özge Öztimur Karadag, Mårten Björkman, Danica Kragic

Frontiers Robotics AI, 2020

Data-efficient visuomotor policy training using reinforcement learning and generative models.

Ali Ghadirzadeh, Petra Poklukar, Ville Kyrki, Danica Kragic, Mårten Björkman

CoRR, 2020

Hyperplane Arrangements of Trained ConvNets Are Biased.

Matteo Gamba, Stefan Carlsson, Hossein Azizpour, Mårten Björkman

CoRR, 2020

Impact of Trajectory Generation Methods on Viewer Perception of Robot Approaching Group Behaviors.

Fangkai Yang, Wenjie Yin, Mårten Björkman, Christopher Peters

Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

Amortized Variational Inference for Road Friction Estimation.

Shuangshuang Chen, Sihao Ding, L. Srikar Muppirisetty, Yiannis Karayiannidis, Mårten Björkman

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Adversarial Feature Training for Generalizable Robotic Visuomotor Control.

Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Group Behavior Recognition Using Attention- and Graph-Based Neural Networks.

Fangkai Yang, Wenjie Yin, Tetsunari Inamura, Mårten Björkman, Christopher E. Peters

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Meta-Learning for Multi-objective Reinforcement Learning.

Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

On the Geometry of Rectifier Convolutional Neural Networks.

Matteo Gamba, Hossein Azizpour, Stefan Carlsson, Mårten Björkman

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality.

Elena Sibirtseva, Ali Ghadirzadeh, Iolanda Leite, Mårten Björkman, Danica Kragic

Proceedings of the Virtual, Augmented and Mixed Reality. Applications and Case Studies, 2019

2018

Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments.

Xi Chen, Ali Ghadirzadeh, John Folkesson, Mårten Björkman, Patric Jensfelt

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Deep predictive policy training using reinforcement learning.

Ali Ghadirzadeh, Atsuto Maki, Danica Kragic, Mårten Björkman

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

A Sensorimotor Learning Framework for Object Categorization.

Virgile Hogman, Mårten Björkman, Atsuto Maki, Danica Kragic

IEEE Trans. Cogn. Dev. Syst., 2016

Feature Descriptors for Tracking by Detection: a Benchmark.

Alessandro Pieropan, Mårten Björkman, Niklas Bergström, Danica Kragic

CoRR, 2016

A sensorimotor reinforcement learning framework for physical Human-Robot Interaction.

Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki, Danica Kragic, Mårten Björkman

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Self-learning and adaptation in a sensorimotor framework.

Ali Ghadirzadeh, Judith Bütepage, Danica Kragic, Mårten Björkman

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

A sensorimotor approach for self-learning of hand-eye coordination.

Ali Ghadirzadeh, Atsuto Maki, Mårten Björkman

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014

Detecting, segmenting and tracking unknown objects using multi-label MRF inference.

Mårten Björkman, Niklas Bergström, Danica Kragic

Comput. Vis. Image Underst., 2014

Learning visual forward models to compensate for self-induced image motion.

Ali Ghadirzadeh, Gert Kootstra, Atsuto Maki, Mårten Björkman

Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014

Intrinsic camera and hand-eye calibration for a robot vision system using a point marker.

Ivan Lundberg, Mårten Björkman, Petter Ögren

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

Learning to disambiguate object hypotheses through self-exploration.

Mårten Björkman, Yasemin Bekiroglu

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013

Interactive object classification using sensorimotor contingencies.

Virgile Hogman, Mårten Björkman, Danica Kragic

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Enhancing visual perception of shape through tactile glances.

Mårten Björkman, Yasemin Bekiroglu, Virgile Hogman, Danica Kragic

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2012

YES - YEt another object segmentation: Exploiting camera movement.

Lazaros Nalpantidis, Mårten Björkman, Danica Kragic

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011

Generating object hypotheses in natural scenes through human-robot interaction.

Niklas Bergström, Mårten Björkman, Danica Kragic

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Scene Understanding through Autonomous Interactive Perception.

Niklas Bergström, Carl Henrik Ek, Mårten Björkman, Danica Kragic

Proceedings of the Computer Vision Systems - 8th International Conference, 2011

2010

An Active Vision System for Detecting, Fixating and Manipulating Objects in the Real World.

Babak Rasolzadeh, Mårten Björkman, Kai Huebner, Danica Kragic

Int. J. Robotics Res., 2010

Attention-based active 3D point cloud segmentation.

Matthew Johnson-Roberson, Jeannette Bohg, Mårten Björkman, Danica Kragic

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Strategies for multi-modal scene exploration.

Jeannette Bohg, Matthew Johnson-Roberson, Mårten Björkman, Danica Kragic

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Active 3D scene segmentation and detection of unknown objects.

Mårten Björkman, Danica Kragic

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Active 3D Segmentation through Fixation of Previously Unseen Objects.

Mårten Björkman, Danica Kragic

Proceedings of the British Machine Vision Conference, 2010

2008

Integration of Visual and Shape Attributes for Object Action Complexes.

Kai Huebner, Mårten Björkman, Babak Rasolzadeh, Martina Schmidt, Danica Kragic

Proceedings of the Computer Vision Systems, 6th International Conference, 2008

2006

Vision in the real world: Finding, attending and recognizing objects.

Mårten Björkman, Jan-Olof Eklundh

Int. J. Imaging Syst. Technol., 2006

Strategies for Object Manipulation using Foveal and Peripheral Vision.

Danica Kragic, Mårten Björkman

Proceedings of the 2006 IEEE International Conference on Computer Vision Systems, 2006

A Framework for Vision Based bearing only 3D SLAM.

Patric Jensfelt, Danica Kragic, John Folkesson, Mårten Björkman

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2005

Vision for robotic object manipulation in domestic settings.

Danica Kragic, Mårten Björkman, Henrik I. Christensen, Jan-Olof Eklundh

Robotics Auton. Syst., 2005

Foveated Figure-Ground Segmentation and Its Role in Recognition.

Mårten Björkman, Jan-Olof Eklundh

Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005

2004

Combination of Foveal and Peripheral Vision for Object Recognition and Pose Estimation.

Mårten Björkman, Danica Kragic

Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Attending, Foveating and Recognizing Objects in Real World Scenes.

Mårten Björkman, Jan-Olof Eklundh

Proceedings of the British Machine Vision Conference, 2004

2002

Real-Time Epipolar Geometry Estimation of Binocular Stereo Heads.

Mårten Björkman, Jan-Olof Eklundh

IEEE Trans. Pattern Anal. Mach. Intell., 2002

2001

Visual Cues for a Fixating Active Agent.

Mårten Björkman, Jan-Olof Eklundh

Proceedings of the Robot Vision, 2001

2000

A Real-Time System for Epipolar Geometry and Ego-Motion Estimation.

Mårten Björkman, Jan-Olof Eklundh

Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999

Real-Time Epipolar Geometry Estimation and Disparity.

Mårten Björkman, Jan-Olof Eklundh

Proceedings of the International Conference on Computer Vision, 1999

1997

Reducing the Read-Miss Penalty for Flat COMA Protocols.

Fredrik Dahlgren, Per Stenström, Mårten Björkman

Comput. J., 1997

1995

Using hints to reduce the read miss penalty for flat COMA protocols.

Mårten Björkman, Fredrik Dahlgren, Per Stenström

Proceedings of the 28th Annual Hawaii International Conference on System Sciences (HICSS-28), 1995