Alexandru Paul Condurache

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 20

Top Venues

CoRR

ESANN

AISTATS

Artif. Intell. Rev.

University of Lübeck (PHD)

Education History

University of Lübeck

PHD

Publications

Matthias Rath, Alexandru Paul Condurache
Deep Neural Networks with Efficient Guaranteed Invariances. AISTATS (2023)
Lukas Meiner, Jens Mehnert, Alexandru Paul Condurache
Instant Complexity Reduction in CNNs using Locality-Sensitive Hashing. CoRR (2023)
Matthias Rath, Alexandru Paul Condurache
Deep Neural Networks with Efficient Guaranteed Invariances. CoRR (2023)
Julia Lust, Alexandru Paul Condurache
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations. CoRR (2023)
Paul Wimmer, Jens Mehnert, Alexandru Paul Condurache
Dimensionality reduced training by pruning and freezing parts of a deep neural network: a survey. Artif. Intell. Rev. 56 (12) (2023)
Julia Lust, Alexandru Paul Condurache
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations. IJCNN (2023)
Paul Wimmer, Jens Mehnert, Alexandru Paul Condurache
Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs. CoRR (2022)
Paul Wimmer, Jens Mehnert, Alexandru Paul Condurache
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey. CoRR (2022)
Matthias Rath, Alexandru Paul Condurache
Improving the Sample-complexity of Deep Classification Networks with Invariant Integration. VISIGRAPP (5: VISAPP) (2022)
Matthias Rath, Alexandru Paul Condurache
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration. CoRR (2022)
Julia Lust, Alexandru Paul Condurache
Efficient detection of adversarial, out-of-distribution and other misclassified samples. Neurocomputing 470 (2022)
Julia Lust, Alexandru Paul Condurache
A Survey on Assessing the Generalization Envelope of Deep Neural Networks at Inference Time for Image Classification. CoRR (2020)
Jasmin Ebert, Thomas Gumpp, Sebastian Münzner, Alex Matskevych, Alexandru Paul Condurache, Claudius Gläser
Deep Radar Sensor Models for Accurate and Robust Object Tracking. ITSC (2020)
Julia Lust, Alexandru Paul Condurache
GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples. CoRR (2020)
Matthias Rath, Alexandru Paul Condurache
Invariant Integration in Deep Convolutional Feature Space. CoRR (2020)
Matthias Rath, Alexandru Paul Condurache
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey. CoRR (2020)
Julia Lust, Alexandru Paul Condurache
GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples. ESANN (2020)
Matthias Rath, Alexandru Paul Condurache
Invariant Integration in Deep Convolutional Feature Space. ESANN (2020)
Benjamin Coors, Alexandru Paul Condurache, Andreas Geiger
NoVA: Learning to See in Novel Viewpoints and Domains. 3DV (2019)
Benjamin Coors, Alexandru Paul Condurache, Andreas Geiger
SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images. ECCV (9) (2018)
Dierck Matern, Alexandru Paul Condurache, Alfred Mertins
Automated Intrusion Detection for Video Surveillance Using Conditional Random Fields. MVA (2013)
Alexandru Paul Condurache, Alfred Mertins
Accelerated Nonlinear Gaussianization for Feature Extraction. ICPRAM (2013)
Alexandru Paul Condurache, Johannes Kotzerke, Alfred Mertins
Robust retina-based person authentication using the sparse classifier. EUSIPCO (2012)
Dierck Matern, Alexandru Paul Condurache, Alfred Mertins
Event Detection using Log-linear Models for Coronary Contrast Agent Injections. ICPRAM (2) (2012)
Alexandru Paul Condurache, Alfred Mertins
Segmentation of retinal vessels with a hysteresis binary-classification paradigm. Comput. Medical Imaging Graph. 36 (4) (2012)
Alexandru Paul Condurache, Alfred Mertins
Sparse Representations and Invariant Sequence-feature Extraction for Event Detection. VISAPP (1) (2012)
Alexandru Paul Condurache, Tobias Hahn, Michael Scharfschwerdt, Alfred Mertins, Til Aach
Video-Based Measuring of Quality Parameters for Tricuspid Xenograft Heart Valve Implants. IEEE Trans. Biomed. Eng. 56 (12) (2009)
Alexandru Paul Condurache, Tobias Hahn, Ulrich G. Hofmann, Michael Scharfschwerdt, Martin Misfeld, Til Aach
Automatic measuring of quality criteria for heart valves. Medical Imaging: Image Processing (2007)
Til Aach, Alexandru Paul Condurache, Kai Eck, Jörg Bredno
Statistical-model-based identification of complete vessel-tree frames in coronary angiograms. Computational Imaging (2004)

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Publication Activity (10 Years)

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Alexandru Paul Condurache