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2020 – today
- 2024
[j6]Matthias Rath, Alexandru Paul Condurache:
Boosting deep neural networks with geometrical prior knowledge: a survey. Artif. Intell. Rev. 57(4): 95 (2024)- [c40]Maximilian Pittner, Joel Janai, Alexandru Paul Condurache:
LaneCPP: Continuous 3D Lane Detection Using Physical Priors. CVPR 2024: 10639-10648 - [c39]Steffen Hagedorn, Marcel Milich, Alexandru Paul Condurache:
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving. IV 2024: 2097-2102 - [i16]Steffen Hagedorn, Marcel Milich, Alexandru Paul Condurache:
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving. CoRR abs/2403.11304 (2024) - [i15]Maximilian Pittner, Joel Janai, Alexandru Paul Condurache:
LaneCPP: Continuous 3D Lane Detection using Physical Priors. CoRR abs/2406.08381 (2024) - [i14]Christian Löwens, Thorben Funke, André Wagner, Alexandru Paul Condurache:
Unsupervised Point Cloud Registration with Self-Distillation. CoRR abs/2409.07558 (2024) - 2023
- [j5]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): 14257-14295 (2023) - [c38]Matthias Rath, Alexandru Paul Condurache:
Deep Neural Networks with Efficient Guaranteed Invariances. AISTATS 2023: 2460-2480 - [c37]Julia Lust, Alexandru Paul Condurache:
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations. IJCNN 2023: 1-10 - [c36]Maximilian Pittner, Alexandru Condurache, Joel Janai:
3D-SpLineNet: 3D Traffic Line Detection using Parametric Spline Representations. WACV 2023: 602-611 - [i13]Matthias Rath, Alexandru Paul Condurache:
Deep Neural Networks with Efficient Guaranteed Invariances. CoRR abs/2303.01567 (2023) - [i12]Julia Lust, Alexandru Paul Condurache:
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations. CoRR abs/2307.02672 (2023) - [i11]Steffen Hagedorn, Marcel Hallgarten, Martin Stoll, Alexandru Condurache:
Rethinking Integration of Prediction and Planning in Deep Learning-Based Automated Driving Systems: A Review. CoRR abs/2308.05731 (2023) - [i10]Lukas Meiner, Jens Mehnert, Alexandru Paul Condurache:
Instant Complexity Reduction in CNNs using Locality-Sensitive Hashing. CoRR abs/2309.17211 (2023) - 2022
- [j4]Julia Lust, Alexandru Paul Condurache:
Efficient detection of adversarial, out-of-distribution and other misclassified samples. Neurocomputing 470: 335-343 (2022) - [c35]Paul Wimmer, Jens Mehnert, Alexandru Condurache:
Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs. CVPR 2022: 12517-12527 - [c34]Matthias Rath, Alexandru Paul Condurache:
Improving the Sample-complexity of Deep Classification Networks with Invariant Integration. VISIGRAPP (5: VISAPP) 2022: 214-225 - [i9]Matthias Rath, Alexandru Paul Condurache:
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration. CoRR abs/2202.03967 (2022) - [i8]Paul Wimmer, Jens Mehnert, Alexandru Paul Condurache:
Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs. CoRR abs/2203.07808 (2022) - [i7]Paul Wimmer, Jens Mehnert, Alexandru Paul Condurache:
Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey. CoRR abs/2205.08099 (2022) - 2021
- [c33]Paul Wimmer, Jens Mehnert, Alexandru Condurache:
COPS: Controlled Pruning Before Training Starts. IJCNN 2021: 1-8 - [i6]Paul Wimmer, Jens Mehnert, Alexandru Condurache:
COPS: Controlled Pruning Before Training Starts. CoRR abs/2107.12673 (2021) - 2020
- [c32]Paul Wimmer
, Jens Mehnert, Alexandru Condurache:
FreezeNet: Full Performance by Reduced Storage Costs. ACCV (6) 2020: 685-701 - [c31]Julia Lust, Alexandru Paul Condurache:
GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples. ESANN 2020: 7-12 - [c30]Matthias Rath, Alexandru Paul Condurache:
Invariant Integration in Deep Convolutional Feature Space. ESANN 2020: 103-108 - [c29]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: 1-6 - [i5]Matthias Rath, Alexandru Paul Condurache:
Invariant Integration in Deep Convolutional Feature Space. CoRR abs/2004.09166 (2020) - [i4]Julia Lust, Alexandru Paul Condurache:
GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples. CoRR abs/2004.09179 (2020) - [i3]Matthias Rath, Alexandru Paul Condurache:
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey. CoRR abs/2006.16867 (2020) - [i2]Julia Lust, Alexandru Paul Condurache:
A Survey on Assessing the Generalization Envelope of Deep Neural Networks at Inference Time for Image Classification. CoRR abs/2008.09381 (2020) - [i1]Paul Wimmer, Jens Mehnert, Alexandru Condurache:
FreezeNet: Full Performance by Reduced Storage Costs. CoRR abs/2011.14087 (2020)
2010 – 2019
- 2019
- [c28]Benjamin Coors, Alexandru Paul Condurache, Andreas Geiger:
NoVA: Learning to See in Novel Viewpoints and Domains. 3DV 2019: 116-125 - 2018
- [c27]Benjamin Coors, Alexandru Paul Condurache, Andreas Geiger:
SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images. ECCV (9) 2018: 525-541 - [c26]Felix Trusheim, Alexandru Condurache, Alfred Mertins:
Boosting Black-Box Variational Inference by Incorporating the Natural Gradient. ICPR 2018: 19-24 - [c25]Benjamin Coors, Alexandru Condurache, Alfred Mertins, Andreas Geiger:
Learning Transformation Invariant Representations with Weak Supervision. VISIGRAPP (5: VISAPP) 2018: 64-72 - 2017
- [c24]Felix Trusheim, Alexandru Condurache, Alfred Mertins:
Visual Landmark Based 3D Road Course Estimation with Black Box Variational Inference. CAIP (1) 2017: 332-343 - 2016
- [c23]Felix Trusheim, Alexandru Condurache, Alfred Mertins:
Graphical stochastic models for tracking applications with variational message passing inference. IPTA 2016: 1-6 - 2013
- [c22]Dierck Matern, Alexandru Condurache, Alfred Mertins:
Adaptive and automated ambiance surveillance and event detection for Ambient Assisted Living. EMBC 2013: 7318-7321 - [c21]Alexandru Paul Condurache, Alfred Mertins:
Accelerated Nonlinear Gaussianization for Feature Extraction. ICPRAM 2013: 121-126 - [c20]Dierck Matern, Alexandru Paul Condurache, Alfred Mertins:
Automated Intrusion Detection for Video Surveillance Using Conditional Random Fields. MVA 2013: 298-301 - 2012
- [j3]Alexandru Paul Condurache, Alfred Mertins:
Segmentation of retinal vessels with a hysteresis binary-classification paradigm. Comput. Medical Imaging Graph. 36(4): 325-335 (2012) - [c19]Alexandru Paul Condurache, Johannes Kotzerke, Alfred Mertins:
Robust retina-based person authentication using the sparse classifier. EUSIPCO 2012: 1514-1518 - [c18]Dierck Matern, Alexandru Paul Condurache, Alfred Mertins:
Event Detection using Log-linear Models for Coronary Contrast Agent Injections. ICPRAM (2) 2012: 172-179 - [c17]Alexandru Paul Condurache, Alfred Mertins:
Sparse Representations and Invariant Sequence-feature Extraction for Event Detection. VISAPP (1) 2012: 679-684 - 2011
- [j2]Alexandru Condurache, Alfred Mertins:
Elastic-Transform Based Multiclass Gaussianization. IEEE Signal Process. Lett. 18(8): 482-485 (2011) - [c16]Alexandru Condurache, Alfred Mertins:
Robust Core-Point-ROI Based Fingerprint Identification Using a Sparse Classifier. DICTA 2011: 487-493 - [c15]Dierck Matern, Alexandru Condurache, Alfred Mertins:
Linear Prediction Based Mixture Models for Event Detection in Video Sequences. IbPRIA 2011: 25-32 - 2010
- [c14]Alexandru Condurache, Florian Müller, Alfred Mertins:
An LDA-based Relative Hysteresis Classifier with Application to Segmentation of Retinal Vessels. ICPR 2010: 4202-4205
2000 – 2009
- 2009
- [j1]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): 2868-2878 (2009) - [c13]Alexandru Condurache, Alfred Mertins:
A point-event detection algorithm for the analysis of contrast bolus in fluoroscopic images of the coronary arteries. EUSIPCO 2009: 2337-2341 - [c12]Alexandru Condurache, Alfred Mertins, Til Aach:
Supervised, hysteresis-based segmentation of retinal images using the linear-classifier percentile. GI Jahrestagung 2009: 1285-1293 - 2007
- [c11]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: 65122Q - 2006
- [b1]Alexandru Paul Condurache:
Cardiovascular biomedical image analysis: methods and applications. University of Lübeck, 2006 - [c10]Tobias Hahn, Alexandru Condurache, Til Aach, Michael Scharfschwerdt, Martin Misfeld:
Automatic In-Vitro Orifice Area Determination and Fluttering Analysis for Tricuspid Heart Valves. Bildverarbeitung für die Medizin 2006: 21-25 - [c9]Alexandru Condurache, Til Aach:
Vessel Segmentation in 2D-Projection Images Using a Supervised Linear Hysteresis Classifier. ICPR (1) 2006: 343-346 - 2005
- [c8]Alexandru Condurache, Til Aach, Kai Eck, Jörg Bredno, Stephan Grzybowski, Hans-Günther Machens:
Vessel Segmentation for Angiographic Enhancement and Analysis. Bildverarbeitung für die Medizin 2005: 173-177 - [c7]Alexandru Condurache, Til Aach, Stephan Grzybowski, Hans-Günther Machens:
Vessel Segmentation and Analysis in Laboratory Skin Transplant Micro-Angiograms. CBMS 2005: 21-26 - [c6]Alexandru Condurache, Til Aach, Stephan Grzybowski, Hans-Günther Machens:
Imaging and analysis of angiogenesis for skin transplantation by microangiography. ICIP (2) 2005: 1250-1253 - [c5]Alexandru Condurache, Til Aach, Kai Eck, Jörg Bredno, Thomas Stehle:
Fast and robust diaphragm detection and tracking in cardiac x-ray projection images. Medical Imaging: Image Processing 2005 - [c4]Alexandru Condurache, Til Aach:
Vessel Segmentation in Angiograms using Hysteresis Thresholding. MVA 2005: 269-272 - 2004
- [c3]Alexandru Condurache, Til Aach, Kai Eck, Jörg Bredno:
Fast Detection and Processing of Arbitrary Contrast Agent Injections in Coronary Angiography and Fluoroscopy. Bildverarbeitung für die Medizin 2004: 5-9 - [c2]Til Aach, Alexandru Paul Condurache, Kai Eck, Jörg Bredno:
Statistical-model-based identification of complete vessel-tree frames in coronary angiograms. Computational Imaging 2004: 283-294 - 2002
- [c1]Daniel Toth, Alexandru Condurache, Til Aach:
A Two-Stage-Classifier for Defect Classification in Optical Media Inspection. ICPR (4) 2002: 373-376
Coauthor Index
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last updated on 2024-10-15 00:21 CEST by the dblp team
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