Alexandru Condurache

According to our database1, Alexandru Condurache authored at least 49 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving.
CoRR, 2024

Boosting deep neural networks with geometrical prior knowledge: a survey.
Artif. Intell. Rev., 2024

2023
Dimensionality reduced training by pruning and freezing parts of a deep neural network: a survey.
Artif. Intell. Rev., December, 2023

Instant Complexity Reduction in CNNs using Locality-Sensitive Hashing.
CoRR, 2023

Rethinking Integration of Prediction and Planning in Deep Learning-Based Automated Driving Systems: A Review.
CoRR, 2023

3D-SpLineNet: 3D Traffic Line Detection using Parametric Spline Representations.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations.
Proceedings of the International Joint Conference on Neural Networks, 2023

Deep Neural Networks with Efficient Guaranteed Invariances.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Efficient detection of adversarial, out-of-distribution and other misclassified samples.
Neurocomputing, 2022

Improving the Sample-complexity of Deep Classification Networks with Invariant Integration.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
COPS: Controlled Pruning Before Training Starts.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
A Survey on Assessing the Generalization Envelope of Deep Neural Networks at Inference Time for Image Classification.
CoRR, 2020

Deep Radar Sensor Models for Accurate and Robust Object Tracking.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Invariant Integration in Deep Convolutional Feature Space.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

FreezeNet: Full Performance by Reduced Storage Costs.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
NoVA: Learning to See in Novel Viewpoints and Domains.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Learning Transformation Invariant Representations with Weak Supervision.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Boosting Black-Box Variational Inference by Incorporating the Natural Gradient.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Visual Landmark Based 3D Road Course Estimation with Black Box Variational Inference.
Proceedings of the Computer Analysis of Images and Patterns, 2017

2016
Graphical stochastic models for tracking applications with variational message passing inference.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016

2013
Automated Intrusion Detection for Video Surveillance Using Conditional Random Fields.
Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013

Accelerated Nonlinear Gaussianization for Feature Extraction.
Proceedings of the ICPRAM 2013, 2013

Adaptive and automated ambiance surveillance and event detection for Ambient Assisted Living.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Segmentation of retinal vessels with a hysteresis binary-classification paradigm.
Comput. Medical Imaging Graph., 2012

Sparse Representations and Invariant Sequence-feature Extraction for Event Detection.
Proceedings of the VISAPP 2012, 2012

Event Detection using Log-linear Models for Coronary Contrast Agent Injections.
Proceedings of the ICPRAM 2012, 2012

Robust retina-based person authentication using the sparse classifier.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Elastic-Transform Based Multiclass Gaussianization.
IEEE Signal Process. Lett., 2011

Linear Prediction Based Mixture Models for Event Detection in Video Sequences.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Robust Core-Point-ROI Based Fingerprint Identification Using a Sparse Classifier.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

2010
An LDA-based Relative Hysteresis Classifier with Application to Segmentation of Retinal Vessels.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Video-Based Measuring of Quality Parameters for Tricuspid Xenograft Heart Valve Implants.
IEEE Trans. Biomed. Eng., 2009

Supervised, hysteresis-based segmentation of retinal images using the linear-classifier percentile.
Proceedings of the 39. Jahrestagung der Gesellschaft für Informatik, Im Focus das Leben, INFORMATIK 2009, Lübeck, Germany, September 28, 2009

A point-event detection algorithm for the analysis of contrast bolus in fluoroscopic images of the coronary arteries.
Proceedings of the 17th European Signal Processing Conference, 2009

2007
Automatic measuring of quality criteria for heart valves.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

2006
Cardiovascular biomedical image analysis: methods and applications.
PhD thesis, 2006

Vessel Segmentation in 2D-Projection Images Using a Supervised Linear Hysteresis Classifier.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Automatic In-Vitro Orifice Area Determination and Fluttering Analysis for Tricuspid Heart Valves.
Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006

2005
Vessel Segmentation in Angiograms using Hysteresis Thresholding.
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2005), 2005

Fast and robust diaphragm detection and tracking in cardiac x-ray projection images.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Imaging and analysis of angiogenesis for skin transplantation by microangiography.
Proceedings of the 2005 International Conference on Image Processing, 2005

Vessel Segmentation and Analysis in Laboratory Skin Transplant Micro-Angiograms.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

Vessel Segmentation for Angiographic Enhancement and Analysis.
Proceedings of the Bildverarbeitung für die Medizin 2005, Algorithmen - Systeme, 2005

2004
Statistical-model-based identification of complete vessel-tree frames in coronary angiograms.
Proceedings of the Computational Imaging II, San Jose, 2004

Fast Detection and Processing of Arbitrary Contrast Agent Injections in Coronary Angiography and Fluoroscopy.
Proceedings of the Bildverarbeitung für die Medizin 2004, Algorithmen - Systeme, 2004

2002
A Two-Stage-Classifier for Defect Classification in Optical Media Inspection.
Proceedings of the 16th International Conference on Pattern Recognition, 2002


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