Using hints to reduce the read miss penalty for flat COMA protocols. - Mårten Björkman; Fredrik Dahlgren; Per Stenström (HICSS (1), 1995)

Reducing the Read-Miss Penalty for Flat COMA Protocols. - Fredrik Dahlgren; Per Stenström; Mårten Björkman (Comput. J., 1997)

Real-Time Epipolar Geometry Estimation and Disparity. - Mårten Björkman; Jan-Olof Eklundh (ICCV, 1999)

A Real-Time System for Epipolar Geometry and Ego-Motion Estimation. - Mårten Björkman; Jan-Olof Eklundh (CVPR, 2000)

Visual Cues for a Fixating Active Agent. - Mårten Björkman; Jan-Olof Eklundh (RobVis, 2001)

Real-Time Epipolar Geometry Estimation of Binocular Stereo Heads. - Mårten Björkman; Jan-Olof Eklundh (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Attending, Foveating and Recognizing Objects in Real World Scenes. - Mårten Björkman; Jan-Olof Eklundh (BMVC, 2004)

Combination of Foveal and Peripheral Vision for Object Recognition and Pose Estimation. - Mårten Björkman; Danica Kragic (ICRA, 2004)

Foveated Figure-Ground Segmentation and Its Role in Recognition. - Mårten Björkman; Jan-Olof Eklundh (BMVC, 2005)

Vision for robotic object manipulation in domestic settings. - Danica Kragic; Mårten Björkman; Henrik I. Christensen; Jan-Olof Eklundh (Robotics Auton. Syst., 2005)

A Framework for Vision Based bearing only 3D SLAM. - Patric Jensfelt; Danica Kragic; John Folkesson; Mårten Björkman (ICRA, 2006)

Strategies for Object Manipulation using Foveal and Peripheral Vision. - Danica Kragic; Mårten Björkman (ICVS, 2006)

Vision in the real world: Finding, attending and recognizing objects. - Mårten Björkman; Jan-Olof Eklundh (Int. J. Imaging Syst. Technol., 2006)

Integration of Visual and Shape Attributes for Object Action Complexes. - Kai Huebner; Mårten Björkman; Babak Rasolzadeh; Martina Schmidt; Danica Kragic (ICVS, 2008)

Active 3D Segmentation through Fixation of Previously Unseen Objects. - Mårten Björkman; Danica Kragic (BMVC, 2010)

Active 3D scene segmentation and detection of unknown objects. - Mårten Björkman; Danica Kragic (ICRA, 2010)

Strategies for multi-modal scene exploration. - Jeannette Bohg; Matthew Johnson-Roberson; Mårten Björkman; Danica Kragic (IROS, 2010)

Attention-based active 3D point cloud segmentation. - Matthew Johnson-Roberson; Jeannette Bohg; Mårten Björkman; Danica Kragic (IROS, 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)

Scene Understanding through Autonomous Interactive Perception. - Niklas Bergström; Carl Henrik Ek; Mårten Björkman; Danica Kragic (ICVS, 2011)

Generating object hypotheses in natural scenes through human-robot interaction. - Niklas Bergström; Mårten Björkman; Danica Kragic (IROS, 2011)

YES - YEt another object segmentation: Exploiting camera movement. - Lazaros Nalpantidis; Mårten Björkman; Danica Kragic (IROS, 2012)

Enhancing visual perception of shape through tactile glances. - Mårten Björkman; Yasemin Bekiroglu; Virgile Hogman; Danica Kragic (IROS, 2013)

Interactive object classification using sensorimotor contingencies. - Virgile Hogman; Mårten Björkman; Danica Kragic (IROS, 2013)

Learning to disambiguate object hypotheses through self-exploration. - Mårten Björkman; Yasemin Bekiroglu (Humanoids, 2014)

Intrinsic camera and hand-eye calibration for a robot vision system using a point marker. - Ivan Lundberg; Mårten Björkman; Petter Ögren (Humanoids, 2014)

Learning visual forward models to compensate for self-induced image motion. - Ali Ghadirzadeh; Gert Kootstra; Atsuto Maki; Mårten Björkman (RO-MAN, 2014)

Detecting, segmenting and tracking unknown objects using multi-label MRF inference. - Mårten Björkman; Niklas Bergström; Danica Kragic (Comput. Vis. Image Underst., 2014)

A sensorimotor approach for self-learning of hand-eye coordination. - Ali Ghadirzadeh; Atsuto Maki; Mårten Björkman (IROS, 2015)

Self-learning and adaptation in a sensorimotor framework. - Ali Ghadirzadeh; Judith Bütepage; Danica Kragic; Mårten Björkman (ICRA, 2016)

A sensorimotor reinforcement learning framework for physical Human-Robot Interaction. - Ali Ghadirzadeh; Judith Bütepage; Atsuto Maki; Danica Kragic; Mårten Björkman (IROS, 2016)

Feature Descriptors for Tracking by Detection: a Benchmark. - Alessandro Pieropan; Mårten Björkman; Niklas Bergström; Danica Kragic (CoRR, 2016)

A Sensorimotor Learning Framework for Object Categorization. - Virgile Hogman; Mårten Björkman; Atsuto Maki; Danica Kragic (IEEE Trans. Cogn. Dev. Syst., 2016)

Deep predictive policy training using reinforcement learning. - Ali Ghadirzadeh; Atsuto Maki; Danica Kragic; Mårten Björkman (IROS, 2017)

Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments. - Xi Chen 051; Ali Ghadirzadeh; John Folkesson; Mårten Björkman; Patric Jensfelt (IROS, 2018)

Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality. - Elena Sibirtseva; Ali Ghadirzadeh; Iolanda Leite; Mårten Björkman; Danica Kragic (HCI (10), 2019)

On the Geometry of Rectifier Convolutional Neural Networks. - Matteo Gamba; Hossein Azizpour; Stefan Carlsson; Mårten Björkman (ICCV Workshops, 2019)

Meta-Learning for Multi-objective Reinforcement Learning. - Xi Chen 051; Ali Ghadirzadeh; Mårten Björkman; Patric Jensfelt (IROS, 2019)

Group Behavior Recognition Using Attention- and Graph-Based Neural Networks. - Fangkai Yang; Wenjie Yin; Tetsunari Inamura; Mårten Björkman; Christopher Peters 001 (ECAI, 2020)

Adversarial Feature Training for Generalizable Robotic Visuomotor Control. - Xi Chen 051; Ali Ghadirzadeh; Mårten Björkman; Patric Jensfelt (ICRA, 2020)

Amortized Variational Inference for Road Friction Estimation. - Shuangshuang Chen; Sihao Ding 002; L. Srikar Muppirisetty; Yiannis Karayiannidis; Mårten Björkman (IV, 2020)

Impact of Trajectory Generation Methods on Viewer Perception of Robot Approaching Group Behaviors. - Fangkai Yang; Wenjie Yin; Mårten Björkman; Christopher Peters 001 (RO-MAN, 2020)

Hyperplane Arrangements of Trained ConvNets Are Biased. - Matteo Gamba; Stefan Carlsson; Hossein Azizpour; Mårten Björkman (CoRR, 2020)

Data-efficient visuomotor policy training using reinforcement learning and generative models. - Ali Ghadirzadeh; Petra Poklukar; Ville Kyrki; Danica Kragic; Mårten Björkman (CoRR, 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)

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)

Monte Carlo Filtering Objectives. - Shuangshuang Chen; Sihao Ding 002; Yiannis Karayiannidis; Mårten Björkman (IJCAI, 2021)

Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms. - Ali Ghadirzadeh; Xi Chen 051; Petra Poklukar; Chelsea Finn; Mårten Björkman; Danica Kragic (IROS, 2021)

Graph-based Normalizing Flow for Human Motion Generation and Reconstruction. - Wenjie Yin; Hang Yin 001; Danica Kragic; Mårten Björkman (RO-MAN, 2021)

A World Model Based Reinforcement Learning Architecture for Autonomous Power System Control. - Magnus Tarle; Mårten Björkman; Mats Larsson; Lars Nordström; Gunnar Ingeström (SmartGridComm, 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 002; Yiannis Karayiannidis; Mårten Björkman (CoRR, 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)

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)

Human-Centered Collaborative Robots With Deep Reinforcement Learning. - Ali Ghadirzadeh; Xi Chen 051; Wenjie Yin; Zhengrong Yi; Mårten Björkman; Danica Kragic (IEEE Robotics Autom. Lett., 2021)

Are All Linear Regions Created Equal? - Matteo Gamba; Adrian Chmielewski-Anders; Josephine Sullivan; Hossein Azizpour; Mårten Björkman (AISTATS, 2022)

IL-GAN: Rare Sample Generation via Incremental Learning in GANs. - Jón R. Baldvinsson; Milad Ganjalizadeh; Abdulrahman Alabbasi; Mårten Björkman; Amir Hossein Payberah (GLOBECOM, 2022)

Improving EEG-based Motor Execution Classification for Robot Control. - Sumeyra Demir Kanik; Wenjie Yin; Arzu Guneysu Ozgur; Ali Ghadirzadeh; Mårten Björkman; Danica Kragic (HCI (14), 2022)

Human Inspired Grip-Release Technique for Robot-Human Handovers. - Parag Khanna; Mårten Björkman; Christian Smith (Humanoids, 2022)

Combining Planning and Learning of Behavior Trees for Robotic Assembly. - Jonathan Styrud; Matteo Iovino; Mikael Norrlöf; Mårten Björkman; Christian Smith (ICRA, 2022)

On the Subspace Structure of Gradient-Based Meta-Learning. - Gustaf Tegnér; Alfredo Reichlin; Hang Yin 001; Mårten Björkman; Danica Kragic (CoRR, 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)

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)

TD-GEM: Text-Driven Garment Editing Mapper. - Reza Dadfar; Sanaz Sabzevari; Mårten Björkman; Danica Kragic (BMVC, 2023)

On the Lipschitz Constant of Deep Networks and Double Descent. - Matteo Gamba; Hossein Azizpour; Mårten Björkman (BMVC, 2023)

Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset. - Xiaomeng Zhu 003; Talha Bilal; Pär Mårtensson; Lars Hanson; Mårten Björkman; Atsuto Maki (CVPR Workshops, 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 (HAI, 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 (HCI (9), 2023)

Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations. - Shuangshuang Chen; Sihao Ding 002; Yiannis Karayiannidis; Mårten Björkman (ICLR, 2023)

Component attention network for multimodal dance improvisation recognition. - Jia Fu 001; Jiarui Tan; Wenjie Yin; Sepideh Pashami; Mårten Björkman (ICMI, 2023)

Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequences. - Tanay Rastogi; Mårten Björkman (ITSC, 2023)

A Multimodal Data Set of Human Handovers with Design Implications for Human-Robot Handovers. - Parag Khanna; Mårten Björkman; Christian Smith (RO-MAN, 2023)

Effects of Explanation Strategies to Resolve Failures in Human-Robot Collaboration. - Parag Khanna; Elmira Yadollahi; Mårten Björkman; Iolanda Leite; Christian Smith (RO-MAN, 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 (RO-MAN, 2023)

Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models. - Wenjie Yin; Ruibo Tu; Hang Yin 001; Danica Kragic; Hedvig Kjellström; Mårten Björkman (RO-MAN, 2023)

Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365. - Fangkai Yang; Wenjie Yin; Lu Wang 029; Tianci Li; Pu Zhao 004; Bo Liu; Paul Wang; Bo Qiao 001; Yudong Liu; Mårten Björkman; Saravan Rajmohan; Qingwei Lin; et al. (ESEC/SIGSOFT FSE, 2023)

PG-3DVTON: Pose-Guided 3D Virtual Try-on Network. - Sanaz Sabzevari; Ali Ghadirzadeh; Mårten Björkman; Danica Kragic (VISIGRAPP (4: VISAPP), 2023)

Dance Style Transfer with Cross-modal Transformer. - Wenjie Yin; Hang Yin 001; Kim Baraka; Danica Kragic; Mårten Björkman (WACV, 2023)

Data-driven Grip Force Variation in Robot-Human Handovers. - Parag Khanna; Mårten Björkman; Christian Smith (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)

Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequence. - Tanay Rastogi; Mårten Björkman (CoRR, 2023)

Diffusion-based Time Series Data Imputation for Microsoft 365. - Fangkai Yang; Wenjie Yin; Lu Wang 029; Tianci Li; Pu Zhao 004; Bo Liu; Paul Wang; Bo Qiao 001; Yudong Liu; Mårten Björkman; Saravan Rajmohan; Qingwei Lin; et al. (CoRR, 2023)

Music- and Lyrics-driven Dance Synthesis. - Wenjie Yin; Qingyuan Yao; Yi Yu 001; Hang Yin 001; Danica Kragic; Mårten Björkman (CoRR, 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; et al. (ACM Comput. Surv., 2023)

Deep Double Descent via Smooth Interpolation. - Matteo Gamba; Erik Englesson; Mårten Björkman; Hossein Azizpour (Trans. Mach. Learn. Res., 2023)

Multimodal dance style transfer. - Wenjie Yin; Hang Yin 001; Kim Baraka; Danica Kragic; Mårten Björkman (Mach. Vis. Appl., 2023)

Scalable Motion Style Transfer with Constrained Diffusion Generation. - Wenjie Yin; Yi Yu 001; Hang Yin 001; Danica Kragic; Mårten Björkman (AAAI, 2024)

Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision. - Alberta Longhini; Marcel Büsching; Bardienus Pieter Duisterhof; Jens Lundell; Jeffrey Ichnowski; Mårten Björkman; Danica Kragic (CoRL, 2024)

FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes. - Marcel Büsching; Josef Bengtson; David Nilsson; Mårten Björkman (CVPR Workshops, 2024)

Challenging Deep Learning Methods for EEG Signal Denoising under Data Corruption. - Farzaneh Taleb; Miguel Vasco; Nona Rajabi; Mårten Björkman; Danica Kragic (EMBC, 2024)

Will You Participate? Exploring the Potential of Robotics Competitions on Human-Centric Topics. - Yuchong Zhang 001; Miguel Vasco; Mårten Björkman; Danica Kragic (HCI (2), 2024)

Reinforcement Learning for FACTS Setpoint Control with Limited Information. - Magnus Tarle; Mats Larsson; Gunnar Ingeström; Mårten Björkman (ISGT EUROPE, 2024)

Can Transformers Smell Like Humans? - Farzaneh Taleb; Miguel Vasco; Antônio H. Ribeiro; Mårten Björkman; Danica Kragic (NeurIPS, 2024)

Mind Meets Robots: A Review of EEG-Based Brain-Robot Interaction Systems. - Yuchong Zhang 001; Nona Rajabi; Farzaneh Taleb; Andrii Matviienko; Yong Ma 003; Mårten Björkman; Danica Kragic (CoRR, 2024)

LM2D: Lyrics- and Music-Driven Dance Synthesis. - Wenjie Yin; Xuejiao Zhao; Yi Yu 001; Hang Yin 001; Danica Kragic; Mårten Björkman (CoRR, 2024)

Automatic Behavior Tree Expansion with LLMs for Robotic Manipulation. - Jonathan Styrud; Matteo Iovino; Mikael Norrlöf; Mårten Björkman; Christian Smith (CoRR, 2024)

Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks. - Alfredo Reichlin; Gustaf Tegnér; Miguel Vasco; Hang Yin 001; Mårten Björkman; Danica Kragic (Trans. Mach. Learn. Res., 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., 2024)

REFLEX Dataset: A Multimodal Dataset of Human Reactions to Robot Failures and Explanations. - Parag Khanna; Andreas Naoum; Elmira Yadollahi; Mårten Björkman; Christian Smith (HRI, 2025)

Human-Aligned Image Models Improve Visual Decoding from the Brain. - Nona Rajabi; Antônio H. Ribeiro; Miguel Vasco; Farzaneh Taleb; Mårten Björkman; Danica Kragic (CoRR, 2025)

Early Detection of Human Handover Intentions in Human-Robot Collaboration: Comparing EEG, Gaze, and Hand Motion. - Parag Khanna; Nona Rajabi; Sümeyra Demir Kanik; Danica Kragic; Mårten Björkman; Christian Smith (CoRR, 2025)

Impact of Object Weight in Handovers: Inspiring Robotic Grip Release and Motion from Human Handovers. - Parag Khanna; Mårten Björkman; Christian Smith (CoRR, 2025)

SmartTBD: Smart Tracking for Resource-constrained Object Detection. - Shihang Zhou; Alejandra C. Hernández; Clara Gómez; Wenjie Yin; Mårten Björkman (ACM Trans. Embed. Comput. Syst., 2025)

Adapting Robot's Explanation for Failures Based on Observed Human Behavior in Human-Robot Collaboration. - Andreas Naoum; Parag Khanna; Elmira Yadollahi; Mårten Björkman; Christian Smith (CoRR, 2025)

Automated assembly quality inspection by deep learning with 2D and 3D synthetic CAD data. - Xiaomeng Zhu 003; Pär Mårtensson; Lars Hanson; Mårten Björkman; Atsuto Maki (J. Intell. Manuf., 2025)

DLO-Splatting: Tracking Deformable Linear Objects Using 3D Gaussian Splatting. - Holly Dinkel; Marcel Büsching; Alberta Longhini; Brian Coltin; Trey Smith; Danica Kragic; Mårten Björkman; Timothy Bretl (CoRR, 2025)

Domain Randomization for Object Detection in Manufacturing Applications using Synthetic Data: A Comprehensive Study. - Xiaomeng Zhu 003; Jacob Henningsson; Duruo Li; Pär Mårtensson; Lars Hanson; Mårten Björkman; Atsuto Maki (CoRR, 2025)