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Prof. Dr. Rainer Lienhart

Lehrstuhlinhaber
Lehrstuhl für Maschinelles Lernen und Maschinelles Sehen
Telefon: +49 (821) 598 5703
E-Mail:
Raum: 1013 (N)
Sprechzeiten: Mittwoch, 14 - 15 Uhr
Adresse: Universit?tsstra?e 6a, 86159 Augsburg

Sekretariat:

Yasemin Sancak

Telefon: +49 821 598-2378

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

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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 + ?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.?

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Vollst?ndige Publikationsliste

2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 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. DOI: 10.48550/arXiv.2504.09953
BibTeX | RIS | DOI

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. DOI: 10.48550/arXiv.2409.17671
BibTeX | RIS | DOI

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. DOI: 10.48550/arXiv.2501.07960
BibTeX | RIS | DOI

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.
BibTeX | RIS | URL

2024

Julian Lorenz, Alexander Pest, Daniel Kienzle, Katja Ludwig and Rainer Lienhart. 2024. A fair ranking and new model for panoptic scene graph generation. DOI: 10.1007/978-3-031-73030-6_9
PDF | BibTeX | RIS | DOI

Julian Lorenz, Robin Sch?n, Katja Ludwig and Rainer Lienhart. 2024. A review and efficient implementation of scene graph generation metrics. 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. DOI: 10.1109/CVPRW63382.2024.00365
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Nikolas Klug. 2024. Computing minimal solutions to the ring loading problem. DOI: 10.1016/j.ipl.2023.106466
BibTeX | RIS | DOI

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. DOI: 10.1088/1361-6463/ad18fa
BibTeX | RIS | DOI

Daniel Kienzle, Marco Kantonis, Robin Sch?n and Rainer Lienhart. 2024. Segformer++: ef?cient token-merging strategies for high-resolution semantic segmentation. 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. 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. 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. DOI: 10.1109/CBMI62980.2024.10859243
PDF | BibTeX | RIS | DOI

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. 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. 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. DOI: 10.5194/amt-16-3141-2023
PDF | BibTeX | RIS | DOI

Daniel Kienzle, Julian Lorenz, Robin Sch?n, Katja Ludwig and Rainer Lienhart. 2023. COVID detection and severity prediction with 3D-ConvNeXt and custom pretrainings. 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. 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. 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. DOI: 10.1109/CVPRW59228.2023.00509
PDF | BibTeX | RIS | DOI

Moritz Einfalt, Katja Ludwig and Rainer Lienhart. 2023. Uplift and upsample: efficient 3D human pose estimation with uplifting transformers. 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. 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
PDF | BibTeX | RIS | DOI

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
PDF | BibTeX | RIS | DOI

Sebastian Scherer, Robin Sch?n and Rainer Lienhart. 2022. Pseudo-label noise suppression techniques for semi-supervised semantic segmentation.
PDF | BibTeX | RIS | URL

Katja Ludwig, Daniel Kienzle and Rainer Lienhart. 2022. Recognition of freely selected keypoints on human limbs. 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. 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. 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. 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. 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. 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. 2020. 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 Einfa