Marianna Madry

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Danica KragicProfessor of Computer Science, KTH - Royal Institute of TechnologyVerified email at kth.se
Carl Henrik EkUniversity of CambridgeVerified email at cam.ac.uk
Renaud DetryKU LeuvenVerified email at kuleuven.be
Dieter FoxUniversity of Washington and NVIDIAVerified email at cs.washington.edu
Liefeng BoHead of Applied Computer Vision Lab at Alibaba GroupVerified email at cs.washington.edu
Justus PiaterProfessor of Computer Science, University of Innsbruck, AustriaVerified email at uibk.ac.at
Kaiyu HangRice UniversityVerified email at rice.edu
Walter WohlkingerTU Wien, ACIN, Vision4Robotics GroupVerified email at acin.tuwien.ac.at
Antonio MoralesUniversitat Jaume I, Castellon, SpainVerified email at uji.es
Jeannette BohgAssistant Professor, Stanford UniversityVerified email at stanford.edu
Tamim AsfourKarlsruhe Institute of Technology (KIT)Verified email at kit.edu
Aitor AldomaACIN, TU WienVerified email at acin.tuwien.ac.at
Heydar Maboudi Afkham23rd StudioVerified email at kth.se
Stefan CarlssonProfessor of Computer Science, KTHVerified email at csc.kth.se
Beatriz LeónShadow Robot CompanyVerified email at shadowrobot.com
Mathew Magimai DossSenior Researcher, Idiap Research Institute, Martigny, SwitzerlandVerified email at idiap.ch

Marianna Madry

Senior Machine Learning and Computer Vision Specialist

Verified email at kth.se - Homepage

Computer Vision Robotics Object Recognition Object Grasping


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ST-HMP: Unsupervised spatio-temporal feature learning for tactile data M Madry, L Bo, D Kragic, D Fox Robotics and Automation (ICRA), 2014 IEEE International Conference on, 2262-2269, 2014	158	2014
Learning a dictionary of prototypical grasp-predicting parts from grasping experience R Detry, CH Ek, M Madry, D Kragic 2013 IEEE International Conference on Robotics and Automation, 601-608, 2013	139	2013
Generalizing grasps across partly similar objects R Detry, CH Ek, M Madry, J Piater, D Kragic 2012 IEEE International Conference on Robotics and Automation, 3791-3797, 2012	79	2012
From object categories to grasp transfer using probabilistic reasoning M Madry, D Song, D Kragic 2012 IEEE International Conference on Robotics and Automation, 1716-1723, 2012	54	2012
Improving generalization for 3D object categorization with Global Structure Histograms M Madry, CH Ek, R Detry, K Hang, D Kragic Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International …, 2012	47	2012
Task-based grasp adaptation on a humanoid robot J Bohg, K Welke, B León, M Do, D Song, W Wohlkinger, M Madry, ... IFAC Proceedings Volumes 45 (22), 779-786, 2012	30	2012
Analysis of F0 and cepstral features for robust automatic gender recognition M Madry Idiap, 2009	14*	2009
Robot bring me something to drink from”: object representation for transferring task specific grasps M Madry, D Song, CH Ek, D Kragic ICRA Workshop on semantic perception, mapping and exploration, 1-6, 2012	9	2012
Extracting essential local object characteristics for 3D object categorization M Madry, HM Afkham, CH Ek, S Carlsson, D Kragic 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013	8	2013
2D/3D object categorization for task based grasping M Madry, D Song, D Kragic European Robotics Forum, 2011	4	2011
Automatic gender recognition based on audiovisual cues M Madry Master Thesis, 2009	4	2009
Compressing grasping experience into a dictionary of prototypical grasp-predicting parts R Detry, CH Ek, M Madry, D Kragic International workshop on human-friendly robotics, 1-1, 2012	3	2012
Unsupervised Learning of Spatio-Temporal Features for Tactile Data M Madry, L Bo, D Kragic, D Fox

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