PD Dr.-Ing. habil. Alexandru Paul Condurache

Former Research Associate

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

Research Interests & Projects

Publications

2022

  • Julia Lust, and Alexandru P. Condurache,
    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: 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},
    }

  • Matthias Rath, and Alexandru Paul Condurache,
    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: 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},
    }
    
    

  • Paul Wimmer, Jens Mehnert, and Alexandru Paul Condurache,
    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: 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

  • Alexandru P. Condurache,
    A Safety View on Generalization for Machine Learning, Oct. 2021. International Conference on Intelligent Computer Communication and Processing (ICCP).
    File: Dateilink
    Bibtex: 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},
    }
    

  • Paul Wimmer, Jens Mehnert, and Alexandru Paul Condurache,
    {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: 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

  • Paul Wimmer, Jens Mehnert, and Alexandru Paul Condurache,
    FreezeNet: Full Performance by Reduced Storage Costs, in Asian Conference on Computer Vision(ACCV) , 2020.
    File: ACCV20_0604.pdf
    Bibtex: 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}
    }
    

  • Jasmin Ebert, Thomas Gumpp, Sebastian Muenzner, Alex Matskevych, Alexandru Paul Condurache, and Claudius Glaeser,
    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: 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}
    }
    

  • Julia Lust, and Alexandru Paul Condurache,
    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: 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}
    }
    

  • Matthias Rath, and Alexandru Paul Condurache,
    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: 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

  • Benjamin Coors, Alexandru Paul Condurache, and Andreas Geiger,
    NoVA: Learning to See in Novel Viewpoints and Domains, in 2019 International Conference on 3D Vision (3DV) , 2019.
    File: Coors2019THREEDV.pdf
    Bibtex: 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

  • T. L. Test, M. N. Chávez, A. P. Condurache, U. Hopfner, F. Rezaeian, H. G. Machens, and J. T. Egana,
    A Full Skin Defect Model to Evaluate Vascularization of Biomaterials In Vivo, J. Vis. Exp. , vol. 90, 2018.
    DOI:10.3791/51428

  • Felix Trusheim, Alexandru Condurache, and Alfred. Mertins,
    Boosting Black-Box Variational Inference by Incorporating the Natural Gradient, in 24th International Conference on Pattern Recognition (ICPR) , 2018.
    File: Trusheim2018.pdf
    Bibtex: 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 }
     }

  • Benjamin Coors, Alexandru Condurache, Alfred Mertins, and Andreas Geiger,
    Learning Transformation Invariant Representations with Weak Supervision, in International Conference on Computer Vision Theory and Applications (VISAPP) , 2018.
    File: Coors2018VISAPP.pdf
    Bibtex: 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}
    }

  • Benjamin Coors, Alexandru Paul Condurache, and Andreas Geiger,
    SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images , in European Conference on Computer Vision (ECCV) , 2018.
    File: Coors2018ECCV.pdf
    Bibtex: 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

  • Felix Trusheim, Alexandru Condurache, and Alfred Mertins,
    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: 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},
    }

  • Alexandru Paul Condurache,
    Statistical Pattern Recognition for Biometric Person Identification and Event Detection., .... GCA-Verlag, 2017.
    File: Condurache_StatisticalPatternRecognition.pdf
    Bibtex: BibTeX
    @Book{Condurache16,
      title     = {Statistical Pattern Recognition for Biometric Person Identification and Event Detection},
      publisher = {GCA-Verlag},
      year      = {2017},
      author    = {Alexandru Paul Condurache},
    }
    

  • 2016

  • F. Trusheim, A. P. Condurache, and A. Mertins,
    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: 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. P. Condurache,
    "A Tutorial on Blind Source Separation using Independent Component Analysis and Related Methods" 2015.
    File: Condurache15_Tutorial_BSS_ICA.pdf
    Bibtex: 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

  • D. Matern, A. P. Condurache, and A. Mertins,
    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: 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}
    }

  • D. Matern, A. P. Condurache, and A. Mertins,
    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: 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}
    }

  • A. P. Condurache, and A. Mertins,
    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

  • A. P. Condurache, J. Kotzerke, and A. Mertins,
    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.
    Bibtex: BibTeX
    @inproceedings{condurache2012b1,
      author = {A. P. Condurache and J. Kotzerke and A. Mertins},
      title = {Robust retina-based person authentication using the sparse classifier},
      booktitle = {Proc. of Europeean Signal Processing Conference (EUSIPCO)},
      year = {2012},
      address = {Bucharest, Romania},
      pages = {1514-1518},
      publisher = {IEEE},
      month = {27-31 August}
    }

  • 2014

  • A. P. Condurache,
    "A Tutorial on Multi-frame Computational Super-resolution using Statistical Methods" 2014.
    File: Condurache14_Tutorial_Superresolution.pdf
    Bibtex: 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}
    }

  • A. P. Condurache, and A. Mertins,
    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: 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}
    }

  • D. Matern, A. P. Condurache, and A. Mertins,
    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: 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}
    }