Lebenslauf

Rainer Lienhart is a full professor in the computer science department of the University of Augsburg and chair of the Multimedia Computing and Computer Vision Lab (MMC Lab). His group is focusing on all aspects of (1) large-scale image, video, humans pose, sensor and data mining algorithms, (2) object, human pose and action detection/recognition as well as (3) image, video, human pose and action retrieval.

Since April 2010, he is also the executive director of the Institute for Computer Science at the University of Augsburg. From August 2017 to March 2018 he spent his sabbatical at FXPAL, while in 2009, he spent his sabbatical at Willow Garage – a robotic company, which is working on laying the groundwork for the industry that will be needed to enable personal robotics applications by investing in open source such as OpenCV and open platform adoption models. Rainer Lienhart has always been an active contributor to OpenCV. From August 1998 to July 2004 he was a Staff Researcher at Intel's Microprocessor Research Lab in Santa Clara, California, where he worked on transforming a network of heterogeneous, distributed computing platforms into an array of audio/video sensors and actuators capable of performing complex DSP tasks such as distributed beamforming, audio rendering, audio/visual tracking, and camera array processing. In particular, this requires putting distributed heterogeneous computing platforms with audio -visual sensors into a common time and space coordinate system. At the same time, he was also continuing his work on media mining, where he is well known for his work in video content analysis with contributions in text detection/recognition, commercial detection, face detection (see also here), shot and scene detection, and automatic video abstraction. He received his Ph.D. in Computer Science from the University of Mannheim, Germany, in 1998, where he was a member of the Movie Content Analysis Project (MoCA).

The scientific work of Rainer Lienhart covers more than 80 refereed publications and more than 20+ patents. He was a general co-chair of ACM Multimedia 2017, ACM Multimedia 2007 and SPIE Storage and Retrieval of Media Databases 2004 & 2005. He serves in the editorial boards of 3 international journals. For more than a decade he is a committee member of ACM Multimedia, IEEE ICME, SPIE Storage and Retrieval of Media Databases, and many more conferences. From July 2009 till June 2017 he was the vice chair of SIGMM.

Forschungsschwerpunkte

  • Computer vision: 
    Object detection/recognition, human pose estimation, image/video captioning, automated visual inspection and error classification, medical image analysis

  • Machine learning
    Esp. deep learning & statistical computing, explainable AI

  • Automatic content analysis, mining and retrieval of multimedia data
    (multimedia = multiple signals from different sources)

  • Data and (multimodal) signal mining in general

Lehrveranstaltungen

(Angewandte Filter: Semester: aktuelles | Institutionen: Multimedia und maschinelles Sehen | Vorlesungsarten: Vorlesung, Vorlesung + Übung, Seminar, Oberseminar, Praktikum)
Name Dozent Typ
Grundlagen der Signalverarbeitung und des Maschinellen Lernens für Medizininformatiker Einfalt

Moritz Werner Amadeus Einfalt,

Lorenz

Julian Lorenz,

Lienhart

Rainer Lienhart,

Kienzle

Daniel Kienzle,

Schön

Robin Schön,

Ludwig

Katja Ludwig,

Scherer

Sebastian Scherer

Vorlesung
Grundlagen der Signalverarbeitung und des Maschinellen Lernens (Multimedia Grundlagen I) Einfalt

Moritz Werner Amadeus Einfalt,

Lorenz

Julian Lorenz,

Lienhart

Rainer Lienhart,

Kienzle

Daniel Kienzle,

Schön

Robin Schön,

Ludwig

Katja Ludwig,

Scherer

Sebastian Scherer

Vorlesung
Advanced Machine Learning and Computer Vision Einfalt

Moritz Werner Amadeus Einfalt,

Lienhart

Rainer Lienhart,

Kienzle

Daniel Kienzle,

Schön

Robin Schön

Vorlesung
Multimedia Projekt Einfalt

Moritz Werner Amadeus Einfalt,

Lorenz

Julian Lorenz,

Lienhart

Rainer Lienhart,

Kienzle

Daniel Kienzle,

Ludwig

Katja Ludwig,

Scherer

Sebastian Scherer

Praktikum
Advanced Deep Learning Einfalt

Moritz Werner Amadeus Einfalt,

Lienhart

Rainer Lienhart,

Kienzle

Daniel Kienzle,

Ludwig

Katja Ludwig,

Scherer

Sebastian Scherer

Vorlesung
Ü01: Mo 14:00 Ü-SVML Kienzle

Daniel Kienzle,

Ludwig

Katja Ludwig

Vorlesung
Oberseminar Multimedia Computing Harzig

Philipp Harzig,

Einfalt

Moritz Werner Amadeus Einfalt,

Lienhart

Rainer Lienhart,

Ludwig

Katja Ludwig,

Scherer

Sebastian Scherer,

Brehm

Stephan Brehm

Oberseminar
Ü03: Di 14:00 Ü-SVML Kienzle

Daniel Kienzle,

Ludwig

Katja Ludwig

Vorlesung
Ü06: Fr 8:15 Ü-SVML Kienzle

Daniel Kienzle,

Ludwig

Katja Ludwig

Vorlesung

Publikationen

Eingeladene Vorträge

  • Prof. Rainer Lienhart, Machine Learning and Computer Vision Lab, Universität Augsburg, „Follow on Research for Human Pose Estimation in Individual Sports“. 6th Int. Workshop on Computer Vision (CVSports) at CVPR 2020, 16.06.2020, Seattle, USA. 
  • Prof. Rainer Lienhart, Machine Learning and Computer Vision Lab, Universität Augsburg, „Automatische Posenerkennung zur Bestimmung von kinematischen und dynamischen Parametern im Sport“ . Arbeitskreis: Künstliche Intelligenz als Chance für den deutschen Spitzensport. dvs-Hochschultag, 20.09.2019, Berlin. 

 

Vollständige Publikationsliste

2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2003 | 2002 | 1999 | 1997

2023

Katja Ludwig, Daniel Kienzle, Julian Lorenz and Rainer Lienhart. in press. Detecting arbitrary keypoints on limbs and skis with sparse partly correct segmentation masks.
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Moritz Einfalt, Katja Ludwig and Rainer Lienhart. in press. Uplift and upsample: efficient 3D human pose estimation with uplifting transformers.
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2022

Daniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig and Rainer Lienhart. 2022. COVID detection and severity prediction with 3D-ConvNeXt and custom pretrainings. DOI: 10.48550/arXiv.2206.15073
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Sebastian Scherer, Stephan Brehm and Rainer Lienhart. 2022. Consistency regularization for unsupervised domain adaptation in semantic segmentation. DOI: 10.1007/978-3-031-06427-2_42
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Stephan Brehm, Florian Barthel and Rainer Lienhart. 2022. Controlling 3D objects in 2D image synthesis. DOI: 10.1007/s42979-022-01462-w
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Katja Ludwig, Philipp Harzig and Rainer Lienhart. 2022. Detecting arbitrary intermediate keypoints for human pose estimation with vision transformers. DOI: 10.1109/WACVW54805.2022.00073
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Sebastian Scherer, Robin Schön and Rainer Lienhart. in press. Pseudo-label noise suppression techniques for semi-supervised semantic segmentation.
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Katja Ludwig, Daniel Kienzle and Rainer Lienhart. in press. Recognition of freely selected keypoints on human limbs.
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Stephan Brehm, Sebastian Scherer and Rainer Lienhart. in press. Semantically consistent image-to-image translation for unsupervised domain adaptation.
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Philipp Harzig, Moritz Einfalt and Rainer Lienhart. in press. Synchronized audio-visual frames with fractional positional encoding for transformers in video-to-text translation.
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2021

Katja Ludwig, Sebastian Scherer, Moritz Einfalt and Rainer Lienhart. 2021. Self-supervised learning for human pose estimation in sports. DOI: 10.1109/ICMEW53276.2021.9456000
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Sebastian Scherer, Robin Schön, Katja Ludwig and Rainer Lienhart. 2021. Unsupervised domain extension for nighttime semantic segmentation in urban scenes. DOI: 10.5220/0010551500380047
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2020

Katja Ludwig, Andrea Fendt and Bernhard Bauer. 2020. An efficient online heuristic for mobile network slice embedding. DOI: 10.1109/icin48450.2020.9059440
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Moritz Einfalt and Rainer Lienhart. 2020. Decoupling video and human motion: towards practical event detection in athlete recordings. DOI: 10.1109/CVPRW50498.2020.00454
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Andrea Fendt, Christian Mannweiler, Katja Ludwig, Lars Christoph Schmelz and Bernhard Bauer. 2020. End-to-end mobile network slice embedding leveraging edge computing. DOI: 10.1109/NOMS47738.2020.9110442
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Nikolas Klug, Moritz Einfalt, Stephan Brehm and Rainer Lienhart. in press. Error bounds of projection models in weakly supervised 3D human pose estimation. DOI: 10.1109/3DV50981.2020.00100
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Y. Tian, C. Snoek, J. Wang, Z. Liu, Rainer Lienhart and S. Boll. 2020. Guest editorial: multimedia computing with interpretable machine learning. DOI: 10.1109/tmm.2020.2991292
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Stephan Brehm, Sebastian Scherer and Rainer Lienhart. 2020. High-resolution dual-stage multi-level feature aggregation for single image and video deblurring. DOI: 10.1109/cvprw50498.2020.00237
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Stephan Brehm, Philipp Harzig, Moritz Einfalt and Rainer Lienhart. 2020. Learning segmentation from object color. DOI: 10.1109/mipr49039.2020.00036
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Katja Ludwig, Moritz Einfalt and Rainer Lienhart. 2020. Robust estimation of flight parameters for ski jumpers. DOI: 10.1109/ICMEW46912.2020.9105973
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Philipp Harzig, Moritz Einfalt, Katja Ludwig and Rainer Lienhart. 2020. Transforming Videos to Text (VTT Task) Team: MMCUniAugsburg.
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2019

Philipp Harzig, Yan-Ying Chen, Francine Chen and Rainer Lienhart. 2019. Addressing data bias problems for chest x-ray image report generation.
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Philipp Harzig, Moritz Einfalt and Rainer Lienhart. 2019. Automatic disease detection and report generation for gastrointestinal tract examinations. DOI: 10.1145/3343031.3356066
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Moritz Einfalt, Rainer Lienhart, Matthew Lee and Lyndon Kennedy. 2019. Detecting speech impairments from temporal Visual facial features of aphasia patients. DOI: 10.1109/MIPR.2019.00026
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Moritz Einfalt, Charles Dampeyrou, Dan Zecha and Rainer Lienhart. 2019. Frame-level event detection in athletics videos with pose-based convolutional sequence networks. DOI: 10.1145/3347318.3355525
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Philipp Harzig, Dan Zecha, Rainer Lienhart, Carolin Kaiser and René Schallner. 2019. Image captioning with clause-focused metrics in a multi-modal setting for marketing. DOI: 10.1109/MIPR.2019.00085
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Dan Zecha, Moritz Einfalt, Christian Eggert and Rainer Lienhart. 2019. Kinematic pose rectification for performance analysis and retrieval in sports. DOI: 10.1109/CVPRW.2018.00232
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Guan-Ming Su, Chengcui Zhang, Haohong Wang, Min Chen, Mohan Kankanhalli and Rainer Lienhart. 2019. Pushing the boundary of multimedia big data: an overview of IEEE MIPR. DOI: 10.1109/mmul.2019.2916957
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Dan Zecha, Moritz Einfalt and Rainer Lienhart. 2019. Refining joint locations for human pose tracking in sports videos. DOI: 10.1109/CVPRW.2019.00308
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Nikolas Klug, Alok Chauhan, V. Vijayakumar and Ramesh Ragala. 2019. k-RNN: Extending NN-heuristics for the TSP. DOI: 10.1007/s11036-019-01258-y
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2018

Dan Zecha, Christian Eggert, Moritz Einfalt, Stephan Brehm and Rainer Lienhart. 2018. A convolutional sequence to sequence model for multimodal dynamics prediction in ski jumps. DOI: 10.1145/3265845.3265855
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Moritz Einfalt, Dan Zecha and Rainer Lienhart. 2018. Activity-conditioned continuous human pose estimation for performance analysis of athletes using the example of swimming. DOI: 10.1109/wacv.2018.00055
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Rainer Lienhart, Moritz Einfalt and Dan Zecha. 2018. Mining automatically estimated poses from video recordings of top athletes. DOI: 10.2478/ijcss-2018-0005
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Philipp Harzig, Stephan Brehm, Rainer Lienhart, Carolin Kaiser and Rene Schallner. 2018. Multimodal image captioning for marketing analysis. DOI: 10.1109/mipr.2018.00035
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Philipp Harzig, Christian Eggert and Rainer Lienhart. 2018. Visual question answering with a hybrid convolution recurrent model. DOI: 10.1145/3206025.3206054
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2017

Christian Eggert, Stephan Brehm, Anton Winschel, Dan Zecha and Rainer Lienhart. 2017. A closer look: small object detection in faster R-CNN. DOI: 10.1109/icme.2017.8019550
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Christian Eggert, Dan Zecha, Stephan Brehm and Rainer Lienhart. 2017. Improving small object proposals for company logo detection. DOI: 10.1145/3078971.3078990
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Dan Zecha, Christian Eggert and Rainer Lienhart. 2017. Pose estimation for deriving kinematic parameters of competitive swimmers.
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2016

Christian Eggert, Anton Winschel, Dan Zecha and Rainer Lienhart. 2016. Saliency-guided selective magnification for company logo detection. DOI: 10.1109/icpr.2016.7899708
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2015

Alexander Schiendorfer, Christoph Lassner, Gerrit Anders, Wolfgang Reif and Rainer Lienhart. 2015. Active learning for model abstraction.
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Fabian Richter, Christian X. Ries and Rainer Lienhart. 2015. Evaluation of discriminative models for the reconstruction of hand-torn documents. DOI: 10.1007/978-3-319-16811-1_44
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Fabian Richter, Christian Eggert and Rainer Lienhart. 2015. Fisher vector encoding of micro color features for (real world) jigsaw puzzles. DOI: 10.1109/icdar.2015.7333816
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Zheng-Jun Zha, Yan Liu, Shin’ichi Satoh, Xinguo Yu and Rainer Lienhart. 2015. Guest editorial: selected papers from ICIMCS 2012. DOI: 10.1007/s00530-015-0461-x
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Dan Zecha and Rainer Lienhart. 2015. Key-pose prediction in cyclic human motion. DOI: 10.1109/wacv.2015.19
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Christoph Lassner and Rainer Lienhart. 2015. Norm-induced entropies for decision forests. DOI: 10.1109/wacv.2015.134
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Christian Eggert, Anton Winschel and Rainer Lienhart. 2015. On the benefit of synthetic data for company logo detection. DOI: 10.1145/2733373.2806407
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Christoph Lassner and Rainer Lienhart. 2015. The fertilized forests decision forest library. DOI: 10.1145/2733373.2807407
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2014

Christian X. Ries, Fabian Richter, Stefan Romberg and Rainer Lienhart. 2014. Automatic object annotation from weakly labeled data with latent structured SVM. DOI: 10.1109/cbmi.2014.6849838
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Christian Eggert, Stefan Romberg and Rainer Lienhart. 2014. Improving VLAD: hierarchical coding and a refined local coordinate system. DOI: 10.1109/icip.2014.7025610
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Fabian Richter, Christian X. Ries, Stefan Romberg and Rainer Lienhart. 2014. Partial contour matching for document pieces with content-based prior. DOI: 10.1109/icme.2014.6890237
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Christian X. Ries, Fabian Richter and Rainer Lienhart. 2014. Towards automatic bounding box annotations from weakly labeled images. DOI: 10.1007/s11042-014-2434-z
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2013

Stefan Romberg and Rainer Lienhart. 2013. Bundle min-hashing for logo recognition. DOI: 10.1145/2461466.2461486
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Stefan Romberg and Rainer Lienhart. 2013. Bundle min-hashing: speeded-up object retrieval. DOI: 10.1007/s13735-013-0040-x
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Fabian Richter, Christian X. Ries, Nicolas Cebron and Rainer Lienhart. 2013. Learning to reassemble shredded documents. DOI: 10.1109/tmm.2012.2235415
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Christoph Lassner and Rainer Lienhart. 2013. Methods and applications for distance based ANN training. DOI: 10.1109/icmla.2013.120
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Christian X. Ries, Fabian Richter and Rainer Lienhart. 2013. Towards automatic object annotations from global image labels. DOI: 10.1145/2461466.2461501
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2012

Christian X. Ries and Rainer Lienhart. 2012. A survey on visual adult image recognition. DOI: 10.1007/s11042-012-1132-y
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Nicolas Cebron. 2012. Active improvement of hierarchical object features under budget constraints. DOI: 10.1007/s11704-012-2857-5
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Nicolas Cebron, Fabian Richter and Rainer Lienhart. 2012. Decision tree induction from counterexamples. DOI: 10.5220/0003730405250528
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Christian X. Ries and Rainer Lienhart. 2012. Deriving a discriminative color model for a given object class from weakly labeled training data. DOI: 10.1145/2324796.2324848
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J. Schels, J. Liebelt and Rainer Lienhart. 2012. Learning an object class representation on a continuous viewsphere. DOI: 10.1109/cvpr.2012.6248051
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Stefan Romberg, Rainer Lienhart and Eva Hörster. 2012. Multimodal image retrieval: fusing modalities with multilayer multimodal pLSA. DOI: 10.1007/s13735-012-0006-4
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Stefan Romberg, Moritz August, Christian X. Ries and Rainer Lienhart. 2012. Robust feature bundling. DOI: 10.1007/978-3-642-34778-8_5
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Robert Lorenz, Markus Huber, Christoph Etzel and Dan Zecha. 2012. SYNOPS – generation of partial languages and synthesis of Petri nets.
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2011

Johannes Schels, Jorg Liebelt, Klaus Schertler and Rainer Lienhart. 2011. Building a semantic part-based object class detector from synthetic 3D models. DOI: 10.1109/icme.2011.6011850
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Stefan Romberg, Lluis Garcia Pueyo, Rainer Lienhart and Roelof van Zwol. 2011. Scalable logo recognition in real-world images. DOI: 10.1145/1991996.1992021
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Johannes Schels, Joerg Liebelt and Rainer Lienhart. 2011. Self-calibrating 3D context for retrieving people with luggage. DOI: 10.1109/iccvw.2011.6130483
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Johannes Schels, Jörg Liebelt, Klaus Schertler and Rainer Lienhart. 2011. Synthetically trained multi-view object class and viewpoint detection for advanced image retrieval. DOI: 10.1145/1991996.1991999
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Nicolas Cebron, Fabian Richter and Rainer Lienhart. 2011. Towards learning with complementary labels.
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2010

Nicolas Cebron. 2010. Active improvement of hierarchical object features under budget constraints. DOI: 10.1109/icdm.2010.74
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Nicolas Cebron and Michael R. Berthold. 2010. Active learning in parallel universes. DOI: 10.1145/1871437.1871688
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Thomas Gloe, Nicolas Cebron and Rainer Böhme. 2010. An ML perspective on feature-based forensic camera model identification.
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Fabian Richter, Stefan Romberg, Eva Hörster and Rainer Lienhart. 2010. Leveraging community metadata for multimodal image ranking. DOI: 10.1007/s11042-010-0554-7
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Ina Döhring and Rainer Lienhart. 2010. Mining TV broadcasts 24/7 for recurring video sequences. DOI: 10.1007/978-3-642-12900-1_13
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Nicolas Cebron. 2010. Towards learning with objects in a hierarchical representation.
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2009

Thomas Greif and Rainer Lienhart. 2009. Automatische Schwimmerverfolgung und Segmentierung.
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Eva Hörster and Rainer Lienhart. 2009. Optimal placement of multiple visual sensors.
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2008

Eva Hörster and Rainer Lienhart. 2008. Deep networks for image retrieval on large-scale databases. DOI: 10.1145/1459359.1459449
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Simon Hoffmann and Rainer Lienhart. 2008. OpenMP: eine Einführung in die parallele Programmierung mit C/C++. DOI: 10.1007/978-3-540-73123-8
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Alan Hanjalic, Rainer Lienhart, Wei-Ying Ma and John R. Smith. 2008. The holy grail of multimedia information retrieval: so close or yet so far away?. DOI: 10.1109/jproc.2008.916338
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2007

Ina Dohring and Rainer Lienhart. 2007. Fast and effective features for recognizing recurring video clips in very large databases. DOI: 10.1109/iciapw.2007.26
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Rainer Lienhart and Malcolm Slaney. 2007. PLSA on large scale image databases. DOI: 10.1109/icassp.2007.367295
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Eva Hörster, Jochen Lux and Rainer Lienhart. 2007. Recognizing persons in images by learning from videos. DOI: 10.1117/12.705200
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2006

C. G. v. d. Boogaart and Rainer Lienhart. 2006. Audio brush: a tool for computer-assisted smart audio editing. DOI: 10.1145/1178723.1178741
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Eva Hörster and Rainer Lienhart. 2006. Calibrating and optimizing poses of visual sensors in distributed platforms. DOI: 10.1007/s00530-006-0057-6
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E. Horster, Rainer Lienhart, W. Kellermann and J.-Y. Bouguet. 2006. Calibrating visual sensors and actuators in distributed platforms. DOI: 10.1109/cviie.2005.2
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E. Hörster and Rainer Lienhart. 2006. On the optimal placement of multiple visual sensors. DOI: 10.1145/1178782.1178800
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Rainer Lienhart, I. Kozintsev, D. Budnikov, I. Chikalov and V. C. Raykar. 2006. Providing common time and space in distributed AV-sensor networks by self-calibration. DOI: 10.1007/3-540-32367-8_21
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Rainer Lienhart and Eva Hörster. 2006. Results of the algorithm competition on foreground segmentation at VSSN06.
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2005

V.C. Raykar, I.V. Kozintsev and Rainer Lienhart. 2005. Position calibration of microphones and loudspeakers in distributed computing platforms. DOI: 10.1109/tsa.2004.838540
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2003

Rainer Lienhart and J. Maydt. 2003. An extended set of Haar-like features for rapid object detection. DOI: 10.1109/icip.2002.1038171
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Rainer Lienhart, Alexander Kuranov and Vadim Pisarevsky. 2003. Empirical analysis of detection cascades of boosted classifiers for rapid object detection. DOI: 10.1007/978-3-540-45243-0_39
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Rainer Lienhart. 2003. Video OCR: a survey and practitioner's guide. DOI: 10.1007/978-1-4757-6928-9_6
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2002

Rainer Lienhart and A. Wernicke. 2002. Localizing and segmenting text in images and videos. DOI: 10.1109/76.999203
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1999

Rainer Lienhart. 1999. Comparison of automatic shot boundary detection algorithms. DOI: 10.1117/12.333848
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1997

Rainer Lienhart, Silvia Pfeiffer and Wolfgang Effelsberg. 1997. Video abstracting. DOI: 10.1145/265563.265572
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