Prof. Dr. Hildegard Kuehne(nee Koehler)____________________________________________________________________________________________ |
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Assistant Professor at CVAI Group, Goethe University Frankfurt Affiliated Professor at MIT-IBM Watson Lab Please contact me under: |
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Projects |
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Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogerio Feris, David Harwath, James Glass, Hilde Kuehne. Everything at Once -- Multi-modal Fusion Transformer for Video Retrieval, CVPR 2022
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Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogerio Feris, Leonid Karlinsky. Unsupervised Domain Generalization by Learning a Bridge Across Domains, CVPR 2022
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Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen. Monotonic Differentiable Sorting Networks, ICLR 2022
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Felix Petersen, Bastian Goldluecke, Oliver Deussen, Hilde Kuehne. Style Agnostic 3D Reconstruction via Adversarial Style Transfer, WACV 2022
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Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen. Learning with Algorithmic Supervision via Continuous Relaxations, NeurIPS 2021
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Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogerio Feris, Leonid Karlinsky. Detector-Free Weakly Supervised Grounding by Separation, ICCV 2021 (oral)
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Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie Boggust, Rameswar Panda, Brian Kingsbury, Rogerio Feris, David Harwath, James Glass, Michael Picheny, Shih-Fu Chang. Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos, ICCV 2021
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Anna Kukleva, Hilde Kuehne, Bernt Schiele. Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting, ICCV 2021
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Andrew Rouditchenko, Angie Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogerio Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James Glass. AVLnet: Learning Audio-Visual Language Representations from Instructional Videos, Interspeech 2021
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Andrew Rouditchenko, Angie Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogerio Feris, Brian Kingsbury, Michael Picheny, James Glass. Cascaded Multilingual Audio-Visual Learning from Videos, Interspeech 2021
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Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen. Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision, accepted for ICML 2021
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Aisha Urooj Khan, Hilde Kuehne, Kevin Duarte, Chuang Gan, Niels Lobo, Mubarak Shah. Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules, CVPR 2021
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Sirnam Swetha, Hilde Kuehne, Yogesh S Rawat, Mubarak Shah. Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activities, arxiv
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Rosaura G VidalMata, Walter J Scheirer, Anna Kukleva, David Cox, Hilde Kuehne. Joint visual-temporal embedding for unsupervised learning of actions in untrimmed sequences, WACV 2021
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Quanfu Fan, Chun-Fu (Richard) Chen, Hilde Kuehne, Marco Pistoia, David Cox. More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation, NeurIPS 2019
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A. Kukleva*, H. Kuehne*, F. Sener, J. Gall. Unsupervised learning of action classes with continuous temporal embedding. CVPR 2019 (accepted)
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Hilde Kuehne*, Alexander Richard*, Juergen Gall, A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019 (open access)
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Alexander Richard, Hilde Kuehne, Ahsan Iqbal, Juergen Gall. NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
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Alexander Richard, Hilde Kuehne, Juergen Gall. Action Sets: Weakly Supervised Action Segmentation without Ordering Constraints. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
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Ahsan Iqbal, Alexander Richard, Hilde Kuehne, Juergen Gall. Recurrent Residual Learning for Action Recognition, German Conference on Pattern Recognition (GCPR), 2017 (Best Master's Award)
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A. Richard, H. Kuehne and J. Gall. Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling, CVPR 2017 (oral) |
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H. Kuehne, A. Richard and J. Gall. Weakly supervised learning of actions from transcripts, CVIU (in press) |
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H. Kuehne, J. Gall and T. Serre. An end-to-end generative framework for video segmentation and recognition, WACV 2016 |
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H. Kuehne, A. B. Arslan and T. Serre. The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities, CVPR 2014 |
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H. Kuehne, D. Gehrig, T. Schultz, R. Stiefelhagen. On-line Action Recognition from sparse Feature Flow, International Conference on Computer Vision Theory and Applications 2012
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H. Kuehne, H. Jhuang, E. Garrote, T. Poggio, T. Serre. HMDB: A Large Video Database for Human Motion Recognition, ICCV 2011 |
Visapp
2010
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H. Kuehne, A. Woerner. Motion Segmentation
of Articulated Structures by Integration of Visula Perception Criteria,
International
Conference on Computer Vision Theory and Applications (VisApp), Angers,
France, 2010 |
ICCV 2009,
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A.
Bachmann, H. Kuehne. An Iterative Scheme for Motion-Based Scene Segmentation.
ICCV 2009, Workshop on Dynamical Vision (DV), pp. 735-742, Kyoto, Japan,
October 2009
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Publications |
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A. Kukleva*, H. Kuehne*, F. Sener, J. Gall. Unsupervised learning of action classes with continuous temporal embedding. CVPR 2019 (accepted)
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Hilde Kuehne*, Alexander Richard*, Juergen Gall, A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019
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Alexander Richard, Hilde Kuehne, Ahsan Iqbal, Juergen Gall. NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 |
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Alexander Richard, Hilde Kuehne, Juergen Gall. Action Sets: Weakly Supervised Action Segmentation without Ordering Constraints. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 |
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Ahsan Iqbal, Alexander Richard, Hilde Kuehne, Juergen Gall. Recurrent Residual Learning for Action Recognition, German Conference on Pattern Recognition (GCPR), 2017 (Best Master's Award)
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A. Richard, H. Kuehne and J. Gall. Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling, CVPR 2017 |
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H. Kuehne, A. Richard and J. Gall. Weakly supervised learning of actions from transcripts (under review) |
arXiv:1508.06073 |
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Cooking in the kitchen: Recognizing and Segmenting Human Activities in Videos, arxiv |
WACV 2016 |
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H. Kuehne, J. Gall and T. Serre. An end-to-end generative framework for video segmentation and recognition, WACV 2016 |
PhD |
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H. Kuehne. Analysis and recognition of human actions with flow features and temporal models, Karlsruhe Institute of Technology, 2015 |
CVPR 2014 |
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H. Kuehne, A. B. Arslan and T. Serre. The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities, CVPR 2014 |
Visapp 2012 |
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H. Kuehne, D. Gehrig, T. Schultz, R. Stiefelhagen. On-line Action Recognition from sparse Feature Flow, International Conference on Computer Vision Theory and Applications 2012 |
ICCV 2011 |
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H. Kuehne, H. Jhuang, E. Garrote, T. Poggio, T. Serre. HMDB: A Large Video Database for Human Motion Recognition, ICCV 2011 |
IROS 2011 |
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P. Krauthausen, L. Rybok, U. D. Hanebeck, D. Gehrig, H. Kuehne, T. Schultz, R. Stiefelhagen. Combined Intention, Activity, and Motion Recognition for a Humanoid Household Robot, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2011 |
Visapp
2010
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H. Kuehne, A. Woerner. Motion Segmentation
of Articulated Structures by Integration of Visula Perception Criteria,
International
Conference on Computer Vision Theory and Applications (VisApp), Angers,
France, 2010 |
Humanoids
2009 |
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D.
Gehrig, H. Kuehne, A. Woerner, T. Schultz. HMM-based Human Motion Recognition
with Optical Flow Data. Humanoids 2009, Humanoids 2009, Paris, France,
09. December 2009 |
ICCV 2009,
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A.
Bachmann, H. Kuehne. An Iterative Scheme for Motion-Based Scene Segmentation.
ICCV 2009, Workshop on Dynamical Vision (DV), pp. 735-742, Kyoto, Japan,
October 2009
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VisApp
2009 |
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H.
Kuehne, A. Woerner. Motion-Based Feature Clustering for Articulated
Body Tracking, International Conference on Computer Vision Theory and
Applications (VisApp), Lisboa, Portugal, February 2009
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Humanoids
2008 |
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D. Gehrig, A. Fischer, H. Kuehne, T. Stein, A. Woerner, H. Schwameder and T. Schultz. Online Recognition of Daily-Life Movements. IEEE-RAS International Conference on Humanoid Robots (Humanoids 2008), Workshop Imitation and Coaching in Humanoid Robots. Daejeon, Korea, December 2008 |
Humanoids
2008 |
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M. Do,
D. Gehrig, H. Kuehne, P. Azad, P. Pastor, T. Asfour, T. Schultz, A.
Woerner, R. Dillmann. Transfer
of Human Movements to Humanoid Robots. IEEE-RAS International Conference
on Humanoid Robots (Humanoids 2008). Workshop Imitation and Coaching
in Humanoid Robots. Daejeon, Korea, December 2008
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ESM
2008 |
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M. Pruzinec,
H. Koehler, A. Woerner. Localisation
of Joint Rotation Centres for 3D Human Motion Simulation. 22nd annual
European Simulation and Modelling Conference. October 2008. LeHavre,
France.
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ICMI
2008 |
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H.
Koehler, A. Woerner. Motion-based Feature Tracking For Articulated Motion
Analysis, IEEE Int. Conf. on Multimodal Interfaces (ICMI 2008), Workshop
on Multimodal Interactions Analysis of Users a Controlled Environment.
October 20-22, 2008. Chania, Greece.
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Sporttechnologie
zwischen Theorie und Praxis, 2007 |
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T. Stein,
A. Fischer, I. Boesnach, D. Gehrig, H. Koehler, H. Schwameder. Kinematische
Analyse menschlicher Alltagsbewegungen für die Mensch-Maschine-Interaktion.
In J. Edelmann-Nusser, K. Witte & E.F. Moritz (Hrsg.), Sporttechnologie
zwischen Theorie und Praxis V. Shaker, Aachen
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WSCG
2008 |
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H. Koehler,
M. Pruzinec, T. Feldmann, A. Woerner. Automatic
Human Model Parametrization From 3D Marker Data For Motion Recognition,
WSCG'2008 - 16th International Conference in Central Europe on Computer
Graphics, Visualization and Computer Vision, Pilsen, 2008
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HLR
2006 |
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I. Boesnach,
H. Koehler, D. Gehrig, G. Stelzner, C. Simonidis, A. Fischer, T. Stein. A
large-scale database of human movements to humanize robot motion, French-German
Workshop on Humanoid and Legged Robots (bibtex)
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BMT
2005
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H. Koehler,
T. Wittenberg, D. Paulus. Detection
and Segmentation of cervical cell nuclei, Biomedizinische Technik, Schiele
und Schön, Berlin, 50, Vol. 1, Part 1, S. 588-589, 10/2005
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SPIE
Medical Imaging 2004 |
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H.
Koehler, M. Couprie, S. Bouattour, D. Paulus. Extraction and Analysis
of Coronary-tree from single X-ray Angiographies, S. 810-819, 2004 |
BVM
2004 |
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H.
Koehler, S. Bouattour, D. Paulus, M. Couprie. Analyse
des Herzkranzgefäßbaums für die prä- und post-operative
Diagnose, Bildverarbeitung für die Medizin, Springer Verlag, Springer,
S. 269-273, 2004 |
CV
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Since 3/2019 |
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Researcher at MIT-IBM Watson Lab (https://mitibmwatsonailab.mit.edu )
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Since 1/2016 |
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Co Founder and Head of Research and Development of KS-Research (Dr. Hildegard Kuehne - Dr. Stefan Stein GbR, https://www.ks-research.de )
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2/2016 - 2/2019 |
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PostDoc Computer Vision Group Prof Dr. Juergen Gall, Institute of Computer Science III, University of Bonn
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10/2013 - 1/2016 |
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Researcher at the Fraunhofer Institute for Communication, Information Processing and Ergonomics (FKIE), Bonn, department for Sensor Data and Information Fusion (SDF), Dr. Wolfgang Koch |
8/2006 - 10/2013 |
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PhD student at the Karlsruhe Institute of Technology (KIT), Institute for Anthropomathics, Department of Informatics |
6/2005 – 1/2006 |
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Master thesis ‘Detection and Segmentation of cervical cell nuclei‘ at the University Koblenz-Landau |
6/ 2005 |
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Diploma (master) in computer science with specialization in computational visualistics at the University Koblenz-Landau |
3/2003 - 7/2003 |
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Study thesis ‚Extraction and Analysis of Coronary-tree from single X-ray Angiographies’ at the École Supérieure d'Ingénieurs en Électronique et Électrotechnique, ESIEE, Paris |
2001/2002 |
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Pre-Degree in computer sciences (computational visualistics)at the University Koblenz-Landau |
1999 – 2006 |
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Student of computer sciences (computational visualistics) at the University Koblenz-Landau |