Mårten Björkman

146 papers A* 16A 21B 11C 4Misc 1Journal 74Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Design and Evaluation of an Assisted Programming Interface for Behavior Trees in Robotics. CoRR Jonathan Styrud, Matteo Iovino, Rebecca Stower, Mart Kartasev, Mikael Norrlöf, Mårten Björkman, Christian Smith
2026	J	`jnl`	Early detection of human handover intentions in human-robot collaboration: Comparing EEG, gaze, and hand motion. Robotics Auton. Syst. Parag Khanna, Nona Rajabi, Sümeyra Demir Kanik, Danica Kragic, Mårten Björkman, Christian Smith
2025	A	`conf`	Adapting Robot's Explanation for Failures Based on Observed Human Behavior in Human-Robot Collaboration. IROS Andreas Naoum, Parag Khanna, Elmira Yadollahi, Mårten Björkman, Christian Smith
2025	J	`jnl`	Adapting Robot's Explanation for Failures Based on Observed Human Behavior in Human-Robot Collaboration. CoRR Andreas Naoum, Parag Khanna, Elmira Yadollahi, Mårten Björkman, Christian Smith
2025	J	`jnl`	Automated assembly quality inspection by deep learning with 2D and 3D synthetic CAD data. J. Intell. Manuf. Xiaomeng Zhu, Pär Mårtensson, Lars Hanson, Mårten Björkman, Atsuto Maki
2025	A*	`conf`	Automatic Behavior Tree Expansion with LLMs for Robotic Manipulation. ICRA Jonathan Styrud, Matteo Iovino, Mikael Norrlöf, Mårten Björkman, Christian Smith
2025	J	`jnl`	Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision. CoRR Alberta Longhini, Marcel Büsching, Bardienus Pieter Duisterhof, Jens Lundell, Jeffrey Ichnowski, Mårten Björkman, Danica Kragic
2025	J	`jnl`	DLO-Splatting: Tracking Deformable Linear Objects Using 3D Gaussian Splatting. CoRR Holly Dinkel, Marcel Büsching, Alberta Longhini, Brian Coltin, Trey Smith, Danica Kragic, Mårten Björkman, Timothy Bretl
2025	A*	`conf`	Domain Randomization for Object Detection in Manufacturing Applications Using Synthetic Data: A Comprehensive Study. ICRA Xiaomeng Zhu, Jacob Henningsson, Duruo Li, Pär Mårtensson, Lars Hanson, Mårten Björkman, Atsuto Maki
2025	J	`jnl`	Domain Randomization for Object Detection in Manufacturing Applications using Synthetic Data: A Comprehensive Study. CoRR Xiaomeng Zhu, Jacob Henningsson, Duruo Li, Pär Mårtensson, Lars Hanson, Mårten Björkman, Atsuto Maki
2025	J	`jnl`	Early Detection of Human Handover Intentions in Human-Robot Collaboration: Comparing EEG, Gaze, and Hand Motion. CoRR Parag Khanna, Nona Rajabi, Sümeyra Demir Kanik, Danica Kragic, Mårten Björkman, Christian Smith
2025	J	`jnl`	How do Humans take an Object from a Robot: Behavior changes observed in a User Study. CoRR Parag Khanna, Elmira Yadollahi, Iolanda Leite, Mårten Björkman, Christian Smith
2025	A*	`conf`	Human-Aligned Image Models Improve Visual Decoding from the Brain. ICML Nona Rajabi, Antônio H. Ribeiro, Miguel Vasco, Farzaneh Taleb, Mårten Björkman, Danica Kragic
2025	J	`jnl`	Human-Aligned Image Models Improve Visual Decoding from the Brain. CoRR Nona Rajabi, Antônio H. Ribeiro, Miguel Vasco, Farzaneh Taleb, Mårten Björkman, Danica Kragic
2025	J	`jnl`	Impact of Object Weight in Handovers: Inspiring Robotic Grip Release and Motion from Human Handovers. CoRR Parag Khanna, Mårten Björkman, Christian Smith
2025	J	`jnl`	Mind Meets Robots: A Review of EEG-Based Brain-Robot Interaction Systems. Int. J. Hum. Comput. Interact. Yuchong Zhang, Nona Rajabi, Farzaneh Taleb, Andrii Matviienko, Yong Ma, Mårten Björkman, Danica Kragic
2025	A*	`conf`	REFLEX Dataset: A Multimodal Dataset of Human Reactions to Robot Failures and Explanations. HRI Parag Khanna, Andreas Naoum, Elmira Yadollahi, Mårten Björkman, Christian Smith
2025	J	`jnl`	REFLEX Dataset: A Multimodal Dataset of Human Reactions to Robot Failures and Explanations. CoRR Parag Khanna, Andreas Naoum, Elmira Yadollahi, Mårten Björkman, Christian Smith
2025	J	`jnl`	SmartTBD: Smart Tracking for Resource-constrained Object Detection. ACM Trans. Embed. Comput. Syst. Shihang Zhou, Alejandra C. Hernández, Clara Gómez, Wenjie Yin, Mårten Björkman
2025	—	`conf`	Towards Automated Assembly Quality Inspection with Synthetic Data and Domain Randomization. ICCVW Xiaomeng Zhu, Jacob Henningsson, Duruo Li, Pär Mårtensson, Lars Hanson, Mårten Björkman, Atsuto Maki
2025	B	`conf`	YCB-Handovers Dataset: Analyzing Object Weight Impact on Human Handovers to Adapt Robotic Handover Motion. RO-MAN Parag Khanna, Karen Jane Dsouza, Chunyu Wang, Mårten Björkman, Christian Smith
2025	J	`jnl`	YCB-Handovers Dataset: Analyzing Object Weight Impact on Human Handovers to Adapt Robotic Handover Motion. CoRR Parag Khanna, Karen Jane Dsouza, Chunyu Wang, Mårten Björkman, Christian Smith
2024	J	`jnl`	Automatic Behavior Tree Expansion with LLMs for Robotic Manipulation. CoRR Jonathan Styrud, Matteo Iovino, Mikael Norrlöf, Mårten Björkman, Christian Smith
2024	A*	`conf`	Can Transformers Smell Like Humans? NeurIPS Farzaneh Taleb, Miguel Vasco, Antônio H. Ribeiro, Mårten Björkman, Danica Kragic
2024	J	`jnl`	Can Transformers Smell Like Humans? CoRR Farzaneh Taleb, Miguel Vasco, Antônio H. Ribeiro, Mårten Björkman, Danica Kragic
2024	—	`conf`	Challenging Deep Learning Methods for EEG Signal Denoising under Data Corruption. EMBC Farzaneh Taleb, Miguel Vasco, Nona Rajabi, Mårten Björkman, Danica Kragic
2024	Misc	`conf`	Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision. CoRL Alberta Longhini, Marcel Büsching, Bardienus Pieter Duisterhof, Jens Lundell, Jeffrey Ichnowski, Mårten Björkman, Danica Kragic
2024	—	`conf`	FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes. CVPR Workshops Marcel Büsching, Josef Bengtson, David Nilsson, Mårten Björkman
2024	J	`jnl`	Hand It to Me Formally! Data-Driven Control for Human-Robot Handovers With Signal Temporal Logic. IEEE Robotics Autom. Lett. Parag Khanna, Jonathan Fredberg, Mårten Björkman, Christian Smith, Alexis Linard
2024	J	`jnl`	LM2D: Lyrics- and Music-Driven Dance Synthesis. CoRR Wenjie Yin, Xuejiao Zhao, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman
2024	J	`jnl`	Mind Meets Robots: A Review of EEG-Based Brain-Robot Interaction Systems. CoRR Yuchong Zhang, Nona Rajabi, Farzaneh Taleb, Andrii Matviienko, Yong Ma, Mårten Björkman, Danica Kragic
2024	J	`jnl`	Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks. CoRR Alfredo Reichlin, Gustaf Tegnér, Miguel Vasco, Hang Yin, Mårten Björkman, Danica Kragic
2024	J	`jnl`	Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks. Trans. Mach. Learn. Res. Alfredo Reichlin, Gustaf Tegnér, Miguel Vasco, Hang Yin, Mårten Björkman, Danica Kragic
2024	—	`conf`	Reinforcement Learning for FACTS Setpoint Control with Limited Information. ISGT EUROPE Magnus Tarle, Mats Larsson, Gunnar Ingeström, Mårten Björkman
2024	A*	`conf`	Scalable Motion Style Transfer with Constrained Diffusion Generation. AAAI Wenjie Yin, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman
2024	J	`jnl`	Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset. CoRR Xiaomeng Zhu, Talha Bilal, Pär Mårtensson, Lars Hanson, Mårten Björkman, Atsuto Maki
2024	—	`conf`	Will You Participate? Exploring the Potential of Robotics Competitions on Human-Centric Topics. HCI (2) Yuchong Zhang, Miguel Vasco, Mårten Björkman, Danica Kragic
2024	J	`jnl`	Will You Participate? Exploring the Potential of Robotics Competitions on Human-centric Topics. CoRR Yuchong Zhang, Miguel Vasco, Mårten Björkman, Danica Kragic
2023	B	`conf`	A Multimodal Data Set of Human Handovers with Design Implications for Human-Robot Handovers. RO-MAN Parag Khanna, Mårten Björkman, Christian Smith
2023	J	`jnl`	A Multimodal Data Set of Human Handovers with Design Implications for Human-Robot Handovers. CoRR Parag Khanna, Mårten Björkman, Christian Smith
2023	J	`jnl`	Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequence. CoRR Tanay Rastogi, Mårten Björkman
2023	—	`conf`	Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequences. ITSC Tanay Rastogi, Mårten Björkman
2023	B	`conf`	Component attention network for multimodal dance improvisation recognition. ICMI Jia Fu, Jiarui Tan, Wenjie Yin, Sepideh Pashami, Mårten Björkman
2023	J	`jnl`	Component attention network for multimodal dance improvisation recognition. CoRR Jia Fu, Jiarui Tan, Wenjie Yin, Sepideh Pashami, Mårten Björkman
2023	B	`conf`	Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models. RO-MAN Wenjie Yin, Ruibo Tu, Hang Yin, Danica Kragic, Hedvig Kjellström, Mårten Björkman
2023	J	`jnl`	Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models. CoRR Wenjie Yin, Ruibo Tu, Hang Yin, Danica Kragic, Hedvig Kjellström, Mårten Björkman
2023	A	`conf`	Dance Style Transfer with Cross-modal Transformer. WACV Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman
2023	J	`jnl`	Data-driven Grip Force Variation in Robot-Human Handovers. CoRR Parag Khanna, Mårten Björkman, Christian Smith
2023	J	`jnl`	Deep Double Descent via Smooth Interpolation. Trans. Mach. Learn. Res. Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour
2023	B	`conf`	Detecting the Intention of Object Handover in Human-Robot Collaborations: An EEG Study. RO-MAN Nona Rajabi, Parag Khanna, Sümeyra Demir Kanik, Elmira Yadollahi, Miguel Vasco, Mårten Björkman, Christian Smith, Danica Kragic
2023	—	`conf`	Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365. ESEC/SIGSOFT FSE 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
2023	J	`jnl`	Diffusion-based Time Series Data Imputation for Microsoft 365. CoRR 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
2023	B	`conf`	Effects of Explanation Strategies to Resolve Failures in Human-Robot Collaboration. RO-MAN Parag Khanna, Elmira Yadollahi, Mårten Björkman, Iolanda Leite, Christian Smith
2023	J	`jnl`	Effects of Explanation Strategies to Resolve Failures in Human-Robot Collaboration. CoRR Parag Khanna, Elmira Yadollahi, Mårten Björkman, Iolanda Leite, Christian Smith
2023	J	`jnl`	FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes. CoRR Marcel Büsching, Josef Bengtson, David Nilsson, Mårten Björkman
2023	B	`conf`	How do Humans take an Object from a Robot: Behavior changes observed in a User Study. HAI Parag Khanna, Elmira Yadollahi, Iolanda Leite, Mårten Björkman, Christian Smith
2023	J	`jnl`	Human Movement Datasets: An Interdisciplinary Scoping Review. ACM Comput. Surv. 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
2023	A*	`conf`	Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations. ICLR Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman
2023	—	`conf`	Mental Face Image Retrieval Based on a Closed-Loop Brain-Computer Interface. HCI (9) Nona Rajabi, Charles Chernik, Alfredo Reichlin, Farzaneh Taleb, Miguel Vasco, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic
2023	J	`jnl`	Multimodal dance style transfer. Mach. Vis. Appl. Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman
2023	J	`jnl`	Music- and Lyrics-driven Dance Synthesis. CoRR Wenjie Yin, Qingyuan Yao, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman
2023	A	`conf`	On the Lipschitz Constant of Deep Networks and Double Descent. BMVC Matteo Gamba, Hossein Azizpour, Mårten Björkman
2023	J	`jnl`	On the Lipschitz Constant of Deep Networks and Double Descent. CoRR Matteo Gamba, Hossein Azizpour, Mårten Björkman
2023	—	`conf`	PG-3DVTON: Pose-Guided 3D Virtual Try-on Network. VISIGRAPP (4: VISAPP) Sanaz Sabzevari, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic
2023	J	`jnl`	Scalable Motion Style Transfer with Constrained Diffusion Generation. CoRR Wenjie Yin, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman
2023	A	`conf`	TD-GEM: Text-Driven Garment Editing Mapper. BMVC Reza Dadfar, Sanaz Sabzevari, Mårten Björkman, Danica Kragic
2023	J	`jnl`	TD-GEM: Text-Driven Garment Editing Mapper. CoRR Reza Dadfar, Sanaz Sabzevari, Mårten Björkman, Danica Kragic
2023	—	`conf`	Towards Sim-to-Real Industrial Parts Classification with Synthetic Dataset. CVPR Workshops Xiaomeng Zhu, Talha Bilal, Pär Mårtensson, Lars Hanson, Mårten Björkman, Atsuto Maki
2023	J	`jnl`	User Study Exploring the Role of Explanation of Failures by Robots in Human Robot Collaboration Tasks. CoRR Parag Khanna, Elmira Yadollahi, Mårten Björkman, Iolanda Leite, Christian Smith
2022	A	`conf`	Are All Linear Regions Created Equal? AISTATS Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Mårten Björkman
2022	J	`jnl`	Are All Linear Regions Created Equal? CoRR Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan, Hossein Azizpour, Mårten Björkman
2022	A*	`conf`	Combining Planning and Learning of Behavior Trees for Robotic Assembly. ICRA Jonathan Styrud, Matteo Iovino, Mikael Norrlöf, Mårten Björkman, Christian Smith
2022	J	`jnl`	Dance Style Transfer with Cross-modal Transformer. CoRR Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman
2022	J	`jnl`	Deep Double Descent via Smooth Interpolation. CoRR Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour
2022	—	`conf`	Human Inspired Grip-Release Technique for Robot-Human Handovers. Humanoids Parag Khanna, Mårten Björkman, Christian Smith
2022	B	`conf`	IL-GAN: Rare Sample Generation via Incremental Learning in GANs. GLOBECOM Jón R. Baldvinsson, Milad Ganjalizadeh, AbdulRahman Alabbasi, Mårten Björkman, Amir Hossein Payberah
2022	—	`conf`	Improving EEG-based Motor Execution Classification for Robot Control. HCI (14) Sumeyra Demir Kanik, Wenjie Yin, Arzu Guneysu Ozgur, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic
2022	J	`jnl`	In Memoriam: Jan-Olof Eklundh. IEEE Trans. Pattern Anal. Mach. Intell. Atsuto Maki, Danica Kragic, Hedvig Kjellström, Hossein Azizpour, Josephine Sullivan, Mårten Björkman, Patric Jensfelt, Stefan Carlsson, Tony Lindeberg, Yngve Sundblad
2022	J	`jnl`	On the Subspace Structure of Gradient-Based Meta-Learning. CoRR Gustaf Tegnér, Alfredo Reichlin, Hang Yin, Mårten Björkman, Danica Kragic
2022	J	`jnl`	Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models. J. Mach. Learn. Res. Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman
2022	J	`jnl`	Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models. CoRR Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman
2021	—	`conf`	A World Model Based Reinforcement Learning Architecture for Autonomous Power System Control. SmartGridComm Magnus Tarle, Mårten Björkman, Mats Larsson, Lars Nordström, Gunnar Ingeström
2021	A	`conf`	Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms. IROS Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mårten Björkman, Danica Kragic
2021	J	`jnl`	Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms. CoRR Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mårten Björkman, Danica Kragic
2021	J	`jnl`	Bridging the gap between emotion and joint action. CoRR M. M. N. Bienkiewicz, A. Smykovskyi, Temitayo A. Olugbade, S. Janaqi, Antonio Camurri, Nadia Bianchi-Berthouze, Mårten Björkman, Benoît G. Bardy
2021	J	`jnl`	Combining Planning and Learning of Behavior Trees for Robotic Assembly. CoRR Jonathan Styrud, Matteo Iovino, Mikael Norrlöf, Mårten Björkman, Christian Smith
2021	J	`jnl`	Coordinating With a Robot Partner Affects Neural Processing Related to Action Monitoring. Frontiers Neurorobotics Artur Czeszumski, Anna L. Gert, Ashima Keshava, Ali Ghadirzadeh, Tilman Kalthoff, Benedikt V. Ehinger, Max Tiessen, Mårten Björkman, Danica Kragic, Peter König
2021	B	`conf`	Graph-based Normalizing Flow for Human Motion Generation and Reconstruction. RO-MAN Wenjie Yin, Hang Yin, Danica Kragic, Mårten Björkman
2021	J	`jnl`	Graph-based Normalizing Flow for Human Motion Generation and Reconstruction. CoRR Wenjie Yin, Hang Yin, Danica Kragic, Mårten Björkman
2021	J	`jnl`	Human-Centered Collaborative Robots With Deep Reinforcement Learning. IEEE Robotics Autom. Lett. Ali Ghadirzadeh, Xi Chen, Wenjie Yin, Zhengrong Yi, Mårten Björkman, Danica Kragic
2021	A*	`conf`	Monte Carlo Filtering Objectives. IJCAI Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman
2021	J	`jnl`	Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series. CoRR Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman
2020	A*	`conf`	Adversarial Feature Training for Generalizable Robotic Visuomotor Control. ICRA Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
2020	C	`conf`	Amortized Variational Inference for Road Friction Estimation. IV Shuangshuang Chen, Sihao Ding, L. Srikar Muppirisetty, Yiannis Karayiannidis, Mårten Björkman
2020	J	`jnl`	Data-efficient visuomotor policy training using reinforcement learning and generative models. CoRR Ali Ghadirzadeh, Petra Poklukar, Ville Kyrki, Danica Kragic, Mårten Björkman
2020	A	`conf`	Group Behavior Recognition Using Attention- and Graph-Based Neural Networks. ECAI Fangkai Yang, Wenjie Yin, Tetsunari Inamura, Mårten Björkman, Christopher Peters
2020	J	`jnl`	Human-centered collaborative robots with deep reinforcement learning. CoRR Ali Ghadirzadeh, Xi Chen, Wenjie Yin, Zhengrong Yi, Mårten Björkman, Danica Kragic
2020	J	`jnl`	Hyperplane Arrangements of Trained ConvNets Are Biased. CoRR Matteo Gamba, Stefan Carlsson, Hossein Azizpour, Mårten Björkman
2020	J	`jnl`	Imitating by Generating: Deep Generative Models for Imitation of Interactive Tasks. Frontiers Robotics AI Judith Bütepage, Ali Ghadirzadeh, Özge Öztimur Karadag, Mårten Björkman, Danica Kragic
2020	B	`conf`	Impact of Trajectory Generation Methods on Viewer Perception of Robot Approaching Group Behaviors. RO-MAN Fangkai Yang, Wenjie Yin, Mårten Björkman, Christopher Peters
2020	J	`jnl`	Object shape estimation and modeling, based on sparse Gaussian process implicit surfaces, combining visual data and tactile exploration. Robotics Auton. Syst. Gabriela Zarzar Gandler, Carl Henrik Ek, Mårten Björkman, Rustam Stolkin, Yasemin Bekiroglu
2019	J	`jnl`	Adversarial Feature Training for Generalizable Robotic Visuomotor Control. CoRR Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
2019	—	`conf`	Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality. HCI (10) Elena Sibirtseva, Ali Ghadirzadeh, Iolanda Leite, Mårten Björkman, Danica Kragic
2019	J	`jnl`	Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality. CoRR Elena Sibirtseva, Ali Ghadirzadeh, Iolanda Leite, Mårten Björkman, Danica Kragic
2019	J	`jnl`	Imitating by generating: deep generative models for imitation of interactive tasks. CoRR Judith Bütepage, Ali Ghadirzadeh, Özge Öztimur Karadag, Mårten Björkman, Danica Kragic
2019	A	`conf`	Meta-Learning for Multi-objective Reinforcement Learning. IROS Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
2019	—	`conf`	On the Geometry of Rectifier Convolutional Neural Networks. ICCV Workshops Matteo Gamba, Hossein Azizpour, Stefan Carlsson, Mårten Björkman
2018	A	`conf`	Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments. IROS Xi Chen, Ali Ghadirzadeh, John Folkesson, Mårten Björkman, Patric Jensfelt
2018	J	`jnl`	Meta-Learning for Multi-objective Reinforcement Learning. CoRR Xi Chen, Ali Ghadirzadeh, Mårten Björkman, Patric Jensfelt
2017	J	`jnl`	Deep Predictive Policy Training using Reinforcement Learning. CoRR Ali Ghadirzadeh, Atsuto Maki, Danica Kragic, Mårten Björkman
2017	A	`conf`	Deep predictive policy training using reinforcement learning. IROS Ali Ghadirzadeh, Atsuto Maki, Danica Kragic, Mårten Björkman
2016	J	`jnl`	A Sensorimotor Learning Framework for Object Categorization. IEEE Trans. Cogn. Dev. Syst. Virgile Hogman, Mårten Björkman, Atsuto Maki, Danica Kragic
2016	J	`jnl`	A Sensorimotor Reinforcement Learning Framework for Physical Human-Robot Interaction. CoRR Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki, Danica Kragic, Mårten Björkman
2016	A	`conf`	A sensorimotor reinforcement learning framework for physical Human-Robot Interaction. IROS Ali Ghadirzadeh, Judith Bütepage, Atsuto Maki, Danica Kragic, Mårten Björkman
2016	J	`jnl`	Feature Descriptors for Tracking by Detection: a Benchmark. CoRR Alessandro Pieropan, Mårten Björkman, Niklas Bergström, Danica Kragic
2016	A*	`conf`	Self-learning and adaptation in a sensorimotor framework. ICRA Ali Ghadirzadeh, Judith Bütepage, Danica Kragic, Mårten Björkman
2016	J	`jnl`	Self-learning and adaptation in a sensorimotor framework. CoRR Ali Ghadirzadeh, Judith Bütepage, Danica Kragic, Mårten Björkman
2015	A	`conf`	A sensorimotor approach for self-learning of hand-eye coordination. IROS Ali Ghadirzadeh, Atsuto Maki, Mårten Björkman
2014	J	`jnl`	Detecting, segmenting and tracking unknown objects using multi-label MRF inference. Comput. Vis. Image Underst. Mårten Björkman, Niklas Bergström, Danica Kragic
2014	—	`conf`	Intrinsic camera and hand-eye calibration for a robot vision system using a point marker. Humanoids Ivan Lundberg, Mårten Björkman, Petter Ögren
2014	—	`conf`	Learning to disambiguate object hypotheses through self-exploration. Humanoids Mårten Björkman, Yasemin Bekiroglu
2014	B	`conf`	Learning visual forward models to compensate for self-induced image motion. RO-MAN Ali Ghadirzadeh, Gert Kootstra, Atsuto Maki, Mårten Björkman
2013	A	`conf`	Enhancing visual perception of shape through tactile glances. IROS Mårten Björkman, Yasemin Bekiroglu, Virgile Hogman, Danica Kragic
2013	A	`conf`	Interactive object classification using sensorimotor contingencies. IROS Virgile Hogman, Mårten Björkman, Danica Kragic
2012	A	`conf`	YES - YEt another object segmentation: Exploiting camera movement. IROS Lazaros Nalpantidis, Mårten Björkman, Danica Kragic
2011	A	`conf`	Generating object hypotheses in natural scenes through human-robot interaction. IROS Niklas Bergström, Mårten Björkman, Danica Kragic
2011	C	`conf`	Scene Understanding through Autonomous Interactive Perception. ICVS Niklas Bergström, Carl Henrik Ek, Mårten Björkman, Danica Kragic
2010	A	`conf`	Active 3D Segmentation through Fixation of Previously Unseen Objects. BMVC Mårten Björkman, Danica Kragic
2010	A*	`conf`	Active 3D scene segmentation and detection of unknown objects. ICRA Mårten Björkman, Danica Kragic
2010	J	`jnl`	An Active Vision System for Detecting, Fixating and Manipulating Objects in the Real World. Int. J. Robotics Res. Babak Rasolzadeh, Mårten Björkman, Kai Huebner, Danica Kragic
2010	A	`conf`	Attention-based active 3D point cloud segmentation. IROS Matthew Johnson-Roberson, Jeannette Bohg, Mårten Björkman, Danica Kragic
2010	A	`conf`	Strategies for multi-modal scene exploration. IROS Jeannette Bohg, Matthew Johnson-Roberson, Mårten Björkman, Danica Kragic
2008	C	`conf`	Integration of Visual and Shape Attributes for Object Action Complexes. ICVS Kai Huebner, Mårten Björkman, Babak Rasolzadeh, Martina Schmidt, Danica Kragic
2006	A*	`conf`	A Framework for Vision Based bearing only 3D SLAM. ICRA Patric Jensfelt, Danica Kragic, John Folkesson, Mårten Björkman
2006	C	`conf`	Strategies for Object Manipulation using Foveal and Peripheral Vision. ICVS Danica Kragic, Mårten Björkman
2006	J	`jnl`	Vision in the real world: Finding, attending and recognizing objects. Int. J. Imaging Syst. Technol. Mårten Björkman, Jan-Olof Eklundh
2005	A	`conf`	Foveated Figure-Ground Segmentation and Its Role in Recognition. BMVC Mårten Björkman, Jan-Olof Eklundh
2005	J	`jnl`	Vision for robotic object manipulation in domestic settings. Robotics Auton. Syst. Danica Kragic, Mårten Björkman, Henrik I. Christensen, Jan-Olof Eklundh
2004	A	`conf`	Attending, Foveating and Recognizing Objects in Real World Scenes. BMVC Mårten Björkman, Jan-Olof Eklundh
2004	A*	`conf`	Combination of Foveal and Peripheral Vision for Object Recognition and Pose Estimation. ICRA Mårten Björkman, Danica Kragic
2002	J	`jnl`	Real-Time Epipolar Geometry Estimation of Binocular Stereo Heads. IEEE Trans. Pattern Anal. Mach. Intell. Mårten Björkman, Jan-Olof Eklundh
2001	—	`conf`	Visual Cues for a Fixating Active Agent. RobVis Mårten Björkman, Jan-Olof Eklundh
2000	A*	`conf`	A Real-Time System for Epipolar Geometry and Ego-Motion Estimation. CVPR Mårten Björkman, Jan-Olof Eklundh
1999	A*	`conf`	Real-Time Epipolar Geometry Estimation and Disparity. ICCV Mårten Björkman, Jan-Olof Eklundh
1997	J	`jnl`	Reducing the Read-Miss Penalty for Flat COMA Protocols. Comput. J. Fredrik Dahlgren, Per Stenström, Mårten Björkman
1995	—	`conf`	Using hints to reduce the read miss penalty for flat COMA protocols. HICSS (1) Mårten Björkman, Fredrik Dahlgren, Per Stenström