PD Dr.-Ing. habil. Alexandru Paul Condurache
Former Research Associate
Guest Lecturer at the University of Luebeck
Short Biography
Alexandru Paul Condurache received the Dipl.-Ing. degree in electrical engineering from the Politehnica University of Bucharest, Romania in 2000, being awarded the Werner von Siemens Excellence Award for his diploma thesis. He obtained the Diploma of Advanced Studies in biomedical engineering also from the Politehnica University of Bucharest, Romania, in 2001. In 2007 he received the Dr.-Ing. degree in computer science from the University of Luebeck, Germany under the supervision of Prof. Til Aach. In 2014 he habiltated in computer science at the University of Luebeck.
Between 2002 and 2013, he was with the Institute for Signal Processing, University of Luebeck, as a Research Associate, where besides teaching duties, he was in charge of several cooperation projects in the fields of medical and industrial machine vision, including besides academia, both clinical and industry partners. Until 2007 he was a doctoral student, specializing in medical image analysis. Afterwards he conducted his postdoctoral research in information forensics (biometric authentication, surveillance and event detection) and discriminant feature analysis. He was member of the international program committee and chaired sessions at various conferences. He contributed as reviewer to journals in the fields of: image and signal processing and pattern recognition. He is now with Robert Bosch GmbH.
Teaching
- Perception for Autonomous Vehicles (WS2019/2020 - )
- Selected Topics of Signal Analysis and Enhancement (SS2010 - SS2013)
Research Interests & Projects
- Autonomous Driving
- Biometric Authentication
- Surveillance and Event Detection (see Event Detection for AAL)
- Feature Space and Discriminant Analysis (see Multiclass Gaussianization)
- Medical Image Analysis (see VesSeg)
- Computer Vision Applications in Biomedical Engineering (see Enhanced Cathlab, ValveQC)
- Automated Visual Inspection and Computer Assisted Quality Control (see INVEX, OPTCLASS)
Publications
2022
Efficient detection of adversarial, out-of-distribution and other misclassified samples, Neurocomputing , vol. 470, pp. 335-343, 2022.
DOI: | https://doi.org/10.1016/j.neucom.2021.05.102 |
File: | EfficientDetection.pdf |
Bibtex: | @article{LUST2022335, title = {Efficient detection of adversarial, out-of-distribution and other misclassified samples}, journal = {Neurocomputing}, volume = {470}, pages = {335-343}, year = {2022}, issn = {0925-2312}, doi = {https://doi.org/10.1016/j.neucom.2021.05.102}, url = {https://www.sciencedirect.com/science/article/pii/S0925231221010985}, author = {Julia Lust and Alexandru P. Condurache}, keywords = {Deep Neural Networks, Out-of-distribution detection, Adversarial example detection, Uncertainty quantification, Safety}, } |
Improving the Sample-complexity of Deep Classification Networks with Invariant Integration, in Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, {VISIGRAPP} 2022, Volume 5: VISAPP, Online Streaming, February 6-8, 2022 , Giovanni Maria Farinella and Petia Radeva and Kadi Bouatouch, Eds. {SCITEPRESS}, 2022. pp. 214--225.
DOI: | 10.5220/0010872000003124 |
File: | Rath_ImprovingTheSampleComplexity.pdf |
Bibtex: | @inproceedings{Rath2, author = {Matthias Rath and Alexandru Paul Condurache}, editor = {Giovanni Maria Farinella and Petia Radeva and Kadi Bouatouch}, title = {Improving the Sample-complexity of Deep Classification Networks with Invariant Integration}, booktitle = {Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, {VISIGRAPP} 2022, Volume 5: VISAPP, Online Streaming, February 6-8, 2022}, pages = {214--225}, publisher = {{SCITEPRESS}}, year = {2022}, url = {https://doi.org/10.5220/0010872000003124}, doi = {10.5220/0010872000003124}, } |
Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse {CNN}s, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, {CVPR} 2022, New Orleans, LA, USA, June 19-24, 2022 , 2022.
File: | interspace_pruning_using_adaptive_filter_representations_to_improve_training_of_sparse_cnns_cvpr_2022.pdf |
Bibtex: | @InProceedings{wimmer_interspace_cvpr_2022, author={Wimmer, Paul and Mehnert, Jens and Condurache, Alexandru Paul}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, {CVPR} 2022, New Orleans, LA, USA, June 19-24, 2022}, title = {Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse {CNN}s}, year = {2022}, } |
2021
A Safety View on Generalization for Machine Learning, Oct. 2021. International Conference on Intelligent Computer Communication and Processing (ICCP).
File: | Dateilink |
Bibtex: | @misc{condurache21, author = {Alexandru P. Condurache}, title = {A Safety View on Generalization for Machine Learning}, howpublished = {International Conference on Intelligent Computer Communication and Processing (ICCP)}, year = {2021}, month = {10}, note = {Keynote Lecture}, url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9733460}, } |
{COPS}: Controlled Pruning Before Training Starts, in 2021 International Joint Conference on Neural Networks (IJCNN), virtual, July 18-22, 2021 , 2021.
DOI: | 10.1109/IJCNN52387.2021.9533582 |
File: | cops_controlled_pruning_before_training_starts_ijcnn_2021.pdf |
Bibtex: | @INPROCEEDINGS{wimmer_cops_ijcnn_2021, author={Wimmer, Paul and Mehnert, Jens and Condurache, Alexandru Paul}, booktitle={2021 International Joint Conference on Neural Networks (IJCNN), virtual, July 18-22, 2021}, title={{COPS}: Controlled Pruning Before Training Starts}, year={2021}, doi={10.1109/IJCNN52387.2021.9533582}, url={https://ieeexplore.ieee.org/document/9533582} } |
2020
FreezeNet: Full Performance by Reduced Storage Costs, in Asian Conference on Computer Vision(ACCV) , 2020.
File: | ACCV20_0604.pdf |
Bibtex: | @inproceedings{wimmer2020, title={ FreezeNet: Full Performance by Reduced Storage Costs}, author={Wimmer, Paul and Mehnert, Jens and Condurache, Alexandru Paul}, booktitle={Asian Conference on Computer Vision(ACCV)}, month={December}, year={2020} } |
Deep Radar Sensor Models for Accurate and Robust Object Tracking, in International Conference on Intelligent Transportation Systems (ITSC) , 2020.
File: | ITSC20_0324_FI.pdf |
Bibtex: | @inproceedings{ebert2020, title={Deep Radar Sensor Models for Accurate and Robust Object Tracking}, author={Ebert, Jasmin and Gumpp, Thomas and Muenzner, Sebastian and Matskevych, Alex and Condurache, Alexandru Paul and Glaeser, Claudius}, booktitle={International Conference on Intelligent Transportation Systems (ITSC)}, month={September}, year={2020} } |
GraN: An efficient Gradien-Norm Based Detector for Adversarial and Misclassified Examples, in European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) , 2020.
File: | ESANN20_GraN.pdf |
Bibtex: | @inproceedings{lust2020, title={GraN: An efficient Gradien-Norm Based Detector for Adversarial and Misclassified Examples}, author={Lust, Julia and Condurache, Alexandru Paul}, booktitle={European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)}, month={October}, year={2020} } |
Invariant Integration in Deep Convolutional Feature Space, in European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) , 2020.
File: | ESANN20_Invariant_Integration.pdf |
Bibtex: | @inproceedings{rath2020, title={Invariant Integration in Deep Convolutional Feature Space}, author={Rath, Matthias and Condurache, Alexandru Paul}, booktitle={European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)}, month={October}, year={2020} } |
2019
NoVA: Learning to See in Novel Viewpoints and Domains, in 2019 International Conference on 3D Vision (3DV) , 2019.
File: | Coors2019THREEDV.pdf |
Bibtex: | @inproceedings{Coors2019THREEDV, title = {NoVA: Learning to See in Novel Viewpoints and Domains}, author = {Coors, Benjamin and Condurache, Alexandru Paul and Geiger, Andreas}, url = {http://www.cvlibs.net/publications/Coors2019THREEDV_supplementary.pdf}, booktitle = {2019 International Conference on 3D Vision (3DV)}, year = {2019} } |
2018
A Full Skin Defect Model to Evaluate Vascularization of Biomaterials In Vivo, J. Vis. Exp. , vol. 90, 2018.
DOI: | 10.3791/51428 |
Boosting Black-Box Variational Inference by Incorporating the Natural Gradient, in 24th International Conference on Pattern Recognition (ICPR) , 2018.
File: | Trusheim2018.pdf |
Bibtex: | @Conference{trusheim2018, author = {Trusheim, Felix and Condurache, Alexandru and Mertins, Alfred.}, title = {Boosting Black-Box Variational Inference by Incorporating the Natural Gradient}, booktitle = {24th International Conference on Pattern Recognition (ICPR)}, year = {2018}, month = { August } } |
Learning Transformation Invariant Representations with Weak Supervision, in International Conference on Computer Vision Theory and Applications (VISAPP) , 2018.
File: | Coors2018VISAPP.pdf |
Bibtex: | @INPROCEEDINGS{Coors2018VISAPP, author = {Benjamin Coors and Alexandru Condurache and Alfred Mertins and Andreas Geiger}, title = {Learning Transformation Invariant Representations with Weak Supervision}, booktitle = {International Conference on Computer Vision Theory and Applications (VISAPP)}, year = {2018} } |
SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images , in European Conference on Computer Vision (ECCV) , 2018.
File: | Coors2018ECCV.pdf |
Bibtex: | @conference{Coors2018ECCV, title = {SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images }, author = {Coors, Benjamin and Condurache, Alexandru Paul and Geiger, Andreas}, booktitle = {European Conference on Computer Vision (ECCV)}, month = Sep, year = {2018}, month_numeric = {9} } |
2017
Visual Landmark based 3D Road Course Estimation with Black Box Variational Inference, in 17th International Conference on Computer Analysis of Images and Patterns (CAIP 2017) , Ystad, Sweden , 2017.
File: | trusheim2017.pdf |
Bibtex: | @InProceedings{Trusheim2017, author = {Trusheim, Felix and Condurache, Alexandru and Mertins, Alfred}, title = {Visual Landmark based 3D Road Course Estimation with Black Box Variational Inference}, booktitle = {17th International Conference on Computer Analysis of Images and Patterns (CAIP 2017)}, year = {2017}, address = {Ystad, Sweden}, month = {August}, } |
Statistical Pattern Recognition for Biometric Person Identification and Event Detection., .... GCA-Verlag, 2017.
File: | Condurache_StatisticalPatternRecognition.pdf |
Bibtex: | @Book{Condurache16, title = {Statistical Pattern Recognition for Biometric Person Identification and Event Detection}, publisher = {GCA-Verlag}, year = {2017}, author = {Alexandru Paul Condurache}, } |
2016
Graphical stochastic models for tracking applications with variational message passing inference, in Proc. 6th International Conference on Image Processing Theory, Tools and Applications (IPTA 2016) , Oulu, Finland , 2016.
File: | Paper_IPTA_2016_Felix_Trusheim.pdf |
Bibtex: | @InProceedings{Trusheim16, author = {F. Trusheim and A. P. Condurache and A. Mertins}, title = {Graphical stochastic models for tracking applications with variational message passing inference}, booktitle = {Proc. 6th International Conference on Image Processing Theory, Tools and Applications (IPTA 2016)}, year = {2016}, address = {Oulu, Finland}, month = {December}, owner = {Trusheim}, timestamp = {2017.01.11} } |
2015
"A Tutorial on Blind Source Separation using Independent Component Analysis and Related Methods" 2015.
File: | Condurache15_Tutorial_BSS_ICA.pdf |
Bibtex: | @TECHREPORT{Condurache15, author = {A. P. Condurache}, title = {A Tutorial on Blind Source Separation using Independent Component Analysis and Related Methods}, institution = {University of Lübeck, Institute for Signal Processing, Technical Report}, month = {April}, year = {2015} } |
2013
Automated Intrusion Detection for Video Surveillance Using Conditional Random Fields, in Proc. Conf. on Mach. Vis. Appl. (MVA) , Kyoto, Japan , 20 .2013. pp. 298--301.
File: | 09-26.pdf |
Bibtex: | @INPROCEEDINGS{Matern13a, author = {D. Matern and A. P. Condurache and A. Mertins}, title = {Automated Intrusion Detection for Video Surveillance Using Conditional Random Fields}, booktitle = {Proc. Conf. on Mach. Vis. Appl. (MVA)}, address = {Kyoto, Japan}, month = {20 - 23 May}, pages = {298--301}, year = {2013} } |
Automated Sequence Clustering of Audio Signals using Conditional Random Fields , in Proc. AIA-DAGA 2013 Conference on Acoustics , Merano, Italy , 18 .2013. pp. 1439--1440.
File: | 000551.pdf |
Bibtex: | @INPROCEEDINGS{Matern13, author = {D. Matern and A. P. Condurache and A. Mertins}, title = {Automated Sequence Clustering of Audio Signals using Conditional Random Fields }, booktitle = {Proc. AIA-DAGA 2013 Conference on Acoustics}, year = {2013}, address = {Merano, Italy}, month = {18 - 22 Mar.}, pages = {1439--1440} } |
Accelerated nonlinear Gaussianization for feature extraction, in Proc. Intl. Conf. on Patt. Rec. App. and Meth. (ICPRAM) , Barcelona, Spain , 15 .2013. pp. 121 -- 126.
2012
Robust retina-based person authentication using the sparse classifier, in Proc. of Europeean Signal Processing Conference (EUSIPCO) , Bucharest, Romania: IEEE, 27-.2012. pp. 1514-1518.
2014
"A Tutorial on Multi-frame Computational Super-resolution using Statistical Methods" 2014.
File: | Condurache14_Tutorial_Superresolution.pdf |
Bibtex: | @TECHREPORT{Condurache14, author = {A. P. Condurache}, title = {A Tutorial on Multi-frame Computational Super-resolution using Statistical Methods}, institution = {University of Lübeck, Institute for Signal Processing, Technical Report}, month = {November}, year = {2014} } |
2012
Sparse representations and invariant sequence-feature extraction for event detection, in Proc. of Intl. Conf. on Comp. Vis. Theory and App. (VISAPP) , Rome, Italy: Springer, 24-.2012. pp. 679 -- 684.
File: | sparseED_Condurache12_01.pdf |
Bibtex: | @INPROCEEDINGS{Condurache2012a, author = {A. P. Condurache and A. Mertins}, title = {Sparse representations and invariant sequence-feature extraction for event detection}, booktitle = {Proc. of Intl. Conf. on Comp. Vis. Theory and App. (VISAPP)}, year = {2012}, address = {Rome, Italy}, month = {24-26 February}, publisher = {Springer}, pages = {679 -- 684} } |
2013
Adaptive and Automated Ambiance Surveillance and Event Detection for Ambient Assisted Living, in Proc. Conf. on Eng. in Med. and Biol. Soc. (EMBC) , Osaka, Japan , 3 -.2013. pp. 7318--7321.
File: | 24220753.PDF |
Bibtex: | @INPROCEEDINGS{Matern13b, author = {D. Matern and A. P. Condurache and A. Mertins}, title = {Adaptive and Automated Ambiance Surveillance and Event Detection for Ambient Assisted Living}, booktitle = {Proc. Conf. on Eng. in Med. and Biol. Soc. (EMBC)}, address = {Osaka, Japan}, month = {3 - 7 July}, pages = {7318--7321}, year = {2013} } |