Prof. Dr. Rainer Lienhart

Lehrstuhlinhaber

Lehrstuhl für Maschinelles Lernen und Maschinelles Sehen

Telefon:	+49 (821) 598 5703
E-Mail:	rainer.lienhart@uni-auni-a.de ()
Raum:	1013 (N)
Sprechzeiten:	Mittwoch, 14 - 15 Uhr
Adresse:	Universit?tsstra?e 6a, 86159 Augsburg

Kontakt (.vcf)

Sekretariat:

Yasemin Sancak

Telefon: +49 821 598-2378

E-mail: yasemin.sancak@uni-a.de

Lebenslauf

Rainer Lienhart is a full professor in the computer science department of the 威尼斯赌博游戏_威尼斯赌博app-【官网】 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 威尼斯赌博游戏_威尼斯赌博app-【官网】 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 威尼斯赌博游戏_威尼斯赌博app-【官网】 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 威尼斯赌博游戏_威尼斯赌博app-【官网】ia 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 威尼斯赌博游戏_威尼斯赌博app-【官网】ia 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 + ?bung, Seminar, Oberseminar, Praktikum)

Name	Dozent	Typ
Seminar über Multimediale Datenverarbeitung (Bachelor)	Phatak Mrunmai Vivek Phatak, Lorenz Julian Lorenz, Lienhart Rainer Lienhart, Kienzle Daniel Kienzle, Sch?n Robin Sch?n, Ludwig Katja Ludwig, Sancak Yasemin Sancak	Seminar
Machine Learning and Computer Vision - WIN	Lienhart Rainer Lienhart, Kienzle Daniel Kienzle, Ludwig Katja Ludwig, Sancak Yasemin Sancak	Vorlesung
Seminar über Multimedia und Maschinelles Sehen (Master)	Phatak Mrunmai Vivek Phatak, Lorenz Julian Lorenz, Lienhart Rainer Lienhart, Kienzle Daniel Kienzle, Sch?n Robin Sch?n, Ludwig Katja Ludwig, Sancak Yasemin Sancak	Seminar
Multimedia Projekt	Phatak Mrunmai Vivek Phatak, Lorenz Julian Lorenz, Lienhart Rainer Lienhart, Kienzle Daniel Kienzle, Ludwig Katja Ludwig, Sancak Yasemin Sancak	Praktikum
Machine Learning and Computer Vision	Lienhart Rainer Lienhart, Kienzle Daniel Kienzle, Sch?n Robin Sch?n, Ludwig Katja Ludwig, Sancak Yasemin Sancak	Vorlesung
Oberseminar Multimedia Computing	Einfalt Moritz Werner Amadeus Einfalt, Lorenz Julian Lorenz, Lienhart Rainer Lienhart, Kienzle Daniel Kienzle, Sch?n Robin Sch?n, Ludwig Katja Ludwig	Oberseminar
Foundation Models in Deep Learning	Phatak Mrunmai Vivek Phatak, Lorenz Julian Lorenz, Lienhart Rainer Lienhart, Kienzle Daniel Kienzle, Sch?n Robin Sch?n, Ludwig Katja Ludwig, Sancak Yasemin Sancak	Vorlesung

Publikationen

Eingeladene Vortr?ge

Prof. Rainer Lienhart, Machine Learning and Computer Vision Lab, Universit?t 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, Universit?t 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.?

Vollst?ndige Publikationsliste

2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2016 | 2015 | 2013 | 2012 | 2010 | 2008 | 2007 | 2006 | 2005 | 2003 | 2002 | 1999 | 1997

2025

Katja Ludwig, Yuliia Oksymets, Robin Sch?n, Daniel Kienzle and Rainer Lienhart. in press. Efficient 2D to full 3D human pose uplifting including joint rotations. In IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR 2025 Workshops). IEEE, Piscataway, NJ DOI: 10.48550/arXiv.2504.09953
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Katja Ludwig, Julian Lorenz, Daniel Kienzle, Tuan Bui and Rainer Lienhart. in press. Leveraging anthropometric measurements to improve human mesh estimation and ensure consistent body shapes. In IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR 2025 Workshops). IEEE, Piscataway, NJ DOI: 10.48550/arXiv.2409.17671
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Robin Sch?n, Julian Lorenz, Daniel Kienzle and Rainer Lienhart. in press. SkipClick: combining quick responses and low-level features for interactive segmentation in winter sports contexts. In Proceedings of the Winter Conference on Applications of Computer Vision (WACVW) Workshops 2025, 28 February - 4 March 2025, Tucson, AZ, USA. IEEE, Piscataway, NJ, 1247-1256 DOI: 10.48550/arXiv.2501.07960
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Daniel Kienzle, Robin Sch?n, Rainer Lienhart and Shin'Ichi Satoh. in press. Towards ball spin and trajectory analysis in table tennis broadcast videos via physically grounded synthetic-to-real transfer. In 2025 IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 10-17, 2025, Nashville, Tennessee, USA. IEEE
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2024

Julian Lorenz, Alexander Pest, Daniel Kienzle, Katja Ludwig and Rainer Lienhart. 2024. A fair ranking and new model for panoptic scene graph generation. In Ale? Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol (Eds.). Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29 – October 4, 2024, proceedings, part LXI. Springer, Berlin, 148-164 DOI: 10.1007/978-3-031-73030-6_9
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Julian Lorenz, Robin Sch?n, Katja Ludwig and Rainer Lienhart. 2024. A review and efficient implementation of scene graph generation metrics. In Eric Mortensen (Ed.). 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Jun 16-22, 2024, Seattle, WA, USA. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, 2567-2575 DOI: 10.1109/CVPRW63382.2024.00263
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Robin Sch?n, Julian Lorenz, Katja Ludwig and Rainer Lienhart. 2024. Adapting the segment anything model during usage in novel situations. In Eric Mortensen (Ed.). IEEE / CVF Computer Vision and Pattern Recognition Conference Workshops (CVPRW), Jun 17th-21st, 2024, Seattle, WA, USA. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, 3616-3626 DOI: 10.1109/CVPRW63382.2024.00365
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Nikolas Klug. 2024. Computing minimal solutions to the ring loading problem. Information Processing Letters 185, 106466. DOI: 10.1016/j.ipl.2023.106466
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Kathrin Baumgartner, Paul T?ufer, Michelle Lienhart, Rainer Lienhart and Christoph Westerhausen. 2024. Pulsed surface acoustic waves accelerate wound healing and reveal new parameter limits for cell stimulation in vitro. Journal of Physics D: Applied Physics 57, 15, 155401. DOI: 10.1088/1361-6463/ad18fa
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Daniel Kienzle, Marco Kantonis, Robin Sch?n and Rainer Lienhart. 2024. Segformer++: ef?cient token-merging strategies for high-resolution semantic segmentation. In Guan-Ming Su, Homer Chen, Ming-Ching Chang, Mohan Kankanhalli, Prabhakaran Balakrishnan, Dae Yeol Lee (Eds.). IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) 2024, San Jose, CA, USA, August 7-9, 2024. IEEE, Piscataway, NJ, 75-81 DOI: 10.1109/MIPR62202.2024.00019
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Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Sch?n, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schr?ter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matias Nicolas Bossa, Abel Diaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken and Marie-Pierre Revel Dubios. 2024. The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. 威尼斯赌博游戏_威尼斯赌博app-【官网】ical Image Analysis 97, 103230. DOI: 10.1016/j.media.2024.103230
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Daniel Kienzle, Katja Ludwig, Julian Lorenz and Rainer Lienhart. 2024. Towards learning monocular 3D object localization from 2D labels using the physical laws of motion. In Theodora Kontogianni, Akihiro Sugimoto, Gopal Sharma (Eds.). International Conference on 3D Vision 2024 (3DV), March 18-21, 2024, Davos, Switzerland. IEEE, Piscataway, NJ, 1564-1573 DOI: 10.1109/3DV62453.2024.00155
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Robin Sch?n, Daniel Kienzle and Rainer Lienhart. 2024. WSESeg: introducing a dataset for the segmentation of winter sports equipment with a baseline for interactive segmentation. In 2024 21st International Conference on Content-based Multimedia Indexing (CBMI), 18-20 September 2024, Reykjavik, Iceland. IEEE, Piscataway, NJ, 1-7 DOI: 10.1109/CBMI62980.2024.10859243
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2023

Mohamed Benouis, Yekta Said Can and Elisabeth André. 2023. A privacy-preserving multi-task learning framework for emotion and identity recognition from multimodal physiological signals. In 2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 10-13 September 2023, Cambridge, MA, USA. IEEE, Piscataway, NJ, 1-8 DOI: 10.1109/aciiw59127.2023.10388160
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Katja Ludwig, Julian Lorenz, Robin Sch?n and Rainer Lienhart. 2023. All keypoints you need: detecting arbitrary keypoints on the body of triple, high, and long jump athletes. In 2023 IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 17 2023 to June 24 2023, Vancouver, BC, Canada. IEEE, Piscataway, NJ, 5179-5187 DOI: 10.1109/CVPRW59228.2023.00546
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René Sedlak, Andreas Welscher, Patrick Hannawald, Sabine Wüst, Rainer Lienhart and Michael Bittner. 2023. Analysis of 2D airglow imager data with respect to dynamics using machine learning. Atmospheric Measurement Techniques 16, 12, 3141-3153. DOI: 10.5194/amt-16-3141-2023
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Daniel Kienzle, Julian Lorenz, Robin Sch?n, Katja Ludwig and Rainer Lienhart. 2023. COVID detection and severity prediction with 3D-ConvNeXt and custom pretrainings. In Leonid Karlinsky, Tomer Michaeli, Ko Nishino (Eds.). Computer Vision – ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part VII. Springer, Berlin, 500-516 DOI: 10.1007/978-3-031-25082-8_33
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Katja Ludwig, Daniel Kienzle, Julian Lorenz and Rainer Lienhart. 2023. Detecting arbitrary keypoints on limbs and skis with sparse partly correct segmentation masks. In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Jan. 3 2023 to Jan. 7 2023, Waikoloa, HI, USA. IEEE, Piscataway, NJ, 1-10 DOI: 10.1109/WACVW58289.2023.00051
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Julian Lorenz, Florian Barthel, Daniel Kienzle and Rainer Lienhart. 2023. Haystack: a panoptic scene graph dataset to evaluate rare predicate classes. In 2023 IEEE International Conference on Computer Vision Workshops (ICCVW), October 2-6, 2023, Paris, France. IEEE, Piscataway, NJ, 62-70 DOI: 10.1109/ICCVW60793.2023.00013
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Robin Sch?n, Katja Ludwig and Rainer Lienhart. 2023. Impact of pseudo depth on open world object segmentation with minimal user guidance. In 2023 IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 17 2023 to June 24 2023, Vancouver, BC, Canada. IEEE, Piscataway, NJ, 4809-4819 DOI: 10.1109/CVPRW59228.2023.00509
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Moritz Einfalt, Katja Ludwig and Rainer Lienhart. 2023. Uplift and upsample: efficient 3D human pose estimation with uplifting transformers. In Tamara Berg, Ryan Farrell, Eric Mortensen (Eds.). IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2-7 January 2023. IEEE, Piscataway, NJ, 2902-2912 DOI: 10.1109/WACV56688.2023.00292
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2022

Sebastian Scherer, Stephan Brehm and Rainer Lienhart. 2022. Consistency regularization for unsupervised domain adaptation in semantic segmentation. Lecture Notes in Computer Science 13231, 500-511. 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. SN Computer Science 4, 1, 48. 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. In Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, USA, January 4-8, 2022. IEEE, Piscataway, NJ, 663-671 DOI: 10.1109/WACVW54805.2022.00073
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Sebastian Scherer, Robin Sch?n and Rainer Lienhart. 2022. Pseudo-label noise suppression techniques for semi-supervised semantic segmentation. In 33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022, proceedings. BMVA Press, London, 829-832
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Katja Ludwig, Daniel Kienzle and Rainer Lienhart. 2022. Recognition of freely selected keypoints on human limbs. In Rama Chellappa, Jiri Matas, Long Quan, Mubarak Shah, Eric Mortensen (Eds.). 2022 IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), New Orleans, LA, USA, 19-24 June 2022. IEEE, Piscataway, NJ, 3530-3538 DOI: 10.1109/CVPRW56347.2022.00397
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Stephan Brehm, Sebastian Scherer and Rainer Lienhart. 2022. Semantically consistent image-to-image translation for unsupervised domain adaptation. In Ana Paula Rocha, Luc Steels, Jaap van den Herik (Eds.). ICAART 2022: Proceedings of the 14th International Conference on Agents and Artificial Intelligence, online streaming, 3-5 February 2022, volume 2. SciTePress, Setúbal, 131-141 DOI: 10.5220/0010786000003116
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Philipp Harzig, Moritz Einfalt and Rainer Lienhart. 2022. Synchronized audio-visual frames with fractional positional encoding for transformers in video-to-text translation. In Yannick Berthoumieu, Pascal Frossard, Giuseppe Valenzise, Thomas Maugey (Eds.). 2022 IEEE International Conference on Image Processing (ICIP), 16-19 October 2022, Bordeaux, France. IEEE, Piscataway, NJ, 2041-2045 DOI: 10.1109/ICIP46576.2022.9897804
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2021

Debesh Jha, Sharib Ali, Steven Hicks, Vajira Thambawita, Hanna Borgli, Pia H. Smedsrud, Thomas de Lange, Konstantin Pogorelov, Xiaowei Wang, Philipp Harzig, Minh-Triet Tran, Wenhua Meng, Trung-Hieu Hoang, Danielle Dias, Tobey H. Ko, Taruna Agrawal, Olga Ostroukhova, Zeshan Khan, Muhammad Atif Tahir, Yang Liu, Yuan Chang, Mathias Kirker?d, Dag Johansen, Mathias Lux, H?vard D. Johansen, Michael A. Riegler and P?l Halvorsen. 2021. A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging. 威尼斯赌博游戏_威尼斯赌博app-【官网】ical Image Analysis 70, 102007. DOI: 10.1016/j.media.2021.102007
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Katja Ludwig, Sebastian Scherer, Moritz Einfalt and Rainer Lienhart. 2021. Self-supervised learning for human pose estimation in sports. In IEEE International Conference on Multimedia and Expo 2021 (ICME), 5-9 July 2021, Shenzhen, China. IEEE, Piscataway, NJ, 1-6 DOI: 10.1109/ICMEW53276.2021.9456000
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Sebastian Scherer, Robin Sch?n, Katja Ludwig and Rainer Lienhart. 2021. Unsupervised domain extension for nighttime semantic segmentation in urban scenes. In Ana Fred, Carlo Sansone and Kurosh Madani (Ed.). Proceedings of the 2nd International Conference on Deep Learning Theory and Applications (DeLTA 2021). SciTePress, Setúbal, 38-47. 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. In Bruno Chatras, Diego Lopez, Walter Cerroni, Shingo Ata, Noel Crespi (Eds.). 2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN), 24-27 Feb. 2020, Paris, France. IEEE, Piscataway, NJ, 139-143 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. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020, Seattle, WA, USA, June 2020. IEEE, Piscataway, NJ, 3901-3910 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. In Pal Varga, Doug Zuckerman, Lisandro Zambenedetti Granville, Peter Orosz and Jér?me Fran?ois (Ed.). NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium, 20-24 April 2020, Budapest, Hungary. IEEE, Piscataway, NJ, 1-7. DOI: 10.1109/NOMS47738.2020.9110442
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Nikolas Klug, Moritz Einfalt, Stephan Brehm and Rainer Lienhart. 2020. Error bounds of projection models in weakly supervised 3D human pose estimation. In 2020 International Conference on 3D Vision (3DV), Fukuoka, Japan, 25-28 November 2020. IEEE, Piscataway, NJ, 898-907 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. IEEE Transactions on Multimedia 22, 7, 1661-1666. 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. In Terry Boult, Gerard 威尼斯赌博游戏_威尼斯赌博app-【官网】ioni, Ramin Zabih, Eric Mortensen and Margaux Masson (Ed.). 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 14-19 June 2020, Seattle, WA, USA. IEEE, Piscataway, NJ, 1872-1881. 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. In Jia Li, Shuyuan Zhu (Eds.). 2020 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 6-8 August 2020, Shenzhen, Guangdong, China. IEEE, Piscataway, NJ, 139-144 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. In Shuai Wan, Ce Zhu, Jian Zhang, Jianquan Liu, Shiwen Mao, Wen-Huang Cheng and Jiwen Lu (Ed.). IEEE International Conference on Multimedia and Expo 2020 (ICME), London, UK, 6-10 July 2020. IEEE, Piscataway, NJ, 1-6. 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. In TREC Video Retrieval Evaluation (TRECVID) 2020, virtual, 8-11 December 2020.
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2019

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. IEEE Multi威尼斯赌博游戏_威尼斯赌博app-【官网】ia 26, 2, 87-91. DOI: 10.1109/mmul.2019.2916957
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Nikolas Klug, Alok Chauhan, V. Vijayakumar and Ramesh Ragala. 2019. k-RNN: Extending NN-heuristics for the TSP. Mobile Networks and Applications 24, 4, 1210-1213.
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2018

Rainer Lienhart, Moritz Einfalt and Dan Zecha. 2018. Mining automatically estimated poses from video recordings of top athletes. International Journal of Computer Science in Sport 17, 2, 94-112. DOI: 10.2478/ijcss-2018-0005
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2016

Christian X. Ries, Fabian Richter and Rainer Lienhart. 2016. Towards automatic bounding box annotations from weakly labeled images. Multimedia Tools and Applications 75, 11, 6091-6118. DOI: 10.1007/s11042-014-2434-z
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2015

Zheng-Jun Zha, Yan Liu, Shin’ichi Satoh, Xinguo Yu and Rainer Lienhart. 2015. Guest editorial: selected papers from ICIMCS 2012. Multimedia Systems 21, 3, 243-244. DOI: 10.1007/s00530-015-0461-x
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2013

Stefan Romberg and Rainer Lienhart. 2013. Bundle min-hashing: speeded-up object retrieval. International Journal of Multimedia Information Retrieval 2, 4, 243-259. 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. IEEE Transactions on Multimedia 15, 3, 582-593. DOI: 10.1109/tmm.2012.2235415
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2012

Christian X. Ries and Rainer Lienhart. 2012. A survey on visual adult image recognition. Multimedia Tools and Applications 69, 3, 661-688. DOI: 10.1007/s11042-012-1132-y
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Nicolas Cebron. 2012. Active improvement of hierarchical object features under budget constraints. Frontiers of Computer Science 6, 2, 143-153.
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Stefan Romberg, Rainer Lienhart and Eva H?rster. 2012. Multimodal image retrieval: fusing modalities with multilayer multimodal pLSA. International Journal of Multimedia Information Retrieval 1, 1, 31-44. DOI: 10.1007/s13735-012-0006-4
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Dan Zecha, Thomas Greif and Rainer Lienhart. 2012. Swimmer detection and pose estimation for continuous stroke-rate determination. In Cees G. M. Snoek, Nicu Sebe, Lyndon Kennedy, Reiner Creutzburg, David Akopian (Eds.). Multimedia on Mobile Devices 2012; and Multimedia Content Access: Algorithms and Systems VI - IS&T/SPIE Electronic Imaging, 22-26 January 2012, Burlingame, California, USA. SPIE, Bellingham, WA, 830410 DOI: 10.1117/12.908309
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2010

Thomas Greif and Rainer Lienhart. 2010. A kinematic model for Bayesian tracking of cyclic human motion. In Amir Said, Onur G. Guleryuz (Eds.). Visual Information Processing and Communication: IS&T / SPIE Electronic Imaging, 17-21 January 2010, San Jose, California, USA. SPIE, Bellingham, WA, 75430K DOI: 10.1117/12.838788
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Christian X. Ries and Rainer Lienhart. 2010. Automatic pose initialization of swimmers in videos. In Amir Said, Onur G. Guleryuz (Eds.). Visual Information Processing and Communication: IS&T / SPIE Electronic Imaging, 17-21 January 2010, San Jose, California, USA. SPIE, Bellingham, WA, 75430J DOI: 10.1117/12.838727
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Fabian Richter, Stefan Romberg, Eva H?rster and Rainer Lienhart. 2010. Leveraging community metadata for multimodal image?ranking. Multimedia Tools and Applications 56, 1, 35-62. DOI: 10.1007/s11042-010-0554-7
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2008

Simon Hoffmann and Rainer Lienhart. 2008. OpenMP: eine Einführung in die parallele Programmierung mit C/C++. Springer, Berlin [u.a.] (Informatik im Fokus).
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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?. Proceedings of the IEEE 96, 4, 541-547. DOI: 10.1109/jproc.2008.916338
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2007

Eva H?rster, Jochen Lux and Rainer Lienhart. 2007. Recognizing persons in images by learning from videos. Multimedia Content Access: Algorithms and Systems 65060D.
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2006

Eva H?rster and Rainer Lienhart. 2006. Calibrating and optimizing poses of visual sensors in distributed platforms. Multimedia Systems 12, 3, 195-210. DOI: 10.1007/s00530-006-0057-6
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E. H?rster and Rainer Lienhart. 2006. On the optimal placement of multiple visual sensors. In Jake K. Aggarwal, Rita Cucchiara and Andrea Prati (Ed.). Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks - VSSN '06, October 2006, Santa Barbara, CA, USA. ACM Press, New York, NY, 111-120. DOI: 10.1145/1178782.1178800
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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. IEEE Transactions on Speech and Audio Processing 13, 1, 70-83. 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. In Proceedings: International Conference on Image Processing, 22-25 Sept. 2002, Rochester, NY, USA. IEEE, Piscataway, NJ, I-900-I-903. 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. Lecture Notes in Computer Science 2781, 297-304. DOI: 10.1007/978-3-540-45243-0_39
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Rainer Lienhart. 2003. Video OCR: a survey and practitioner's guide. In A. Rosenfeld, D. Doermann and D. DeMenthon (Ed.). Video Mining. Springer, Boston, MA (The Springer International Series in Video Computing ; 6), 155-183. 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. IEEE Transactions on Circuits and Systems for Video Technology 12, 4, 256-268. DOI: 10.1109/76.999203
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1999

Rainer Lienhart. 1999. Comparison of automatic shot boundary detection algorithms. In Minerva M. Yeung, Boon-Lock Yeo and Charles A. Bouman (Ed.). Storage and Retrieval for Image and Video Databases VII. SPIE, Bellingham, WA (Proceedings of SPIE ; 3656), 290-301. DOI: 10.1117/12.333848
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1997

Rainer Lienhart, Silvia Pfeiffer and Wolfgang Effelsberg. 1997. Video abstracting. Communications of the ACM 40, 12, 54-62. DOI: 10.1145/265563.265572
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