Bin Yang

Orcid: 0000-0002-8322-117X

Affiliations:
  • University of Stuttgart, Institute of Signal Processing and System Theory, Germany
  • Infineon Technologies, Germany (1996 - 2001)
  • Ruhr University,Department of Electrical Engineering, Bochum, Germany (PhD 1991)


According to our database1, Bin Yang authored at least 214 papers between 1988 and 2024.

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

Timeline

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Bibliography

2024
Prompt tuning for parameter-efficient medical image segmentation.
Medical Image Anal., January, 2024

COMET: Contrastive Mean Teacher for Online Source-Free Universal Domain Adaptation.
CoRR, 2024

Diversity-aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-time Adaptation.
CoRR, 2024

Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Calibration-free online test-time adaptation for electroencephalography motor imagery decoding.
Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024

2023
Behavior-Aware Pedestrian Trajectory Prediction in Ego-Centric Camera Views with Spatio-Temporal Ego-Motion Estimation.
Mach. Learn. Knowl. Extr., June, 2023

USIS: Unsupervised Semantic Image Synthesis.
Comput. Graph., April, 2023

Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations.
Comput. Medical Imaging Graph., March, 2023

EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanisms.
CoRR, 2023

Avoiding Shortcut-Learning by Mutual Information Minimization in Deep Learning-Based Image Processing.
IEEE Access, 2023

Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Towards Pragmatic Semantic Image Synthesis for Urban Scenes.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Indoor Positioning based on Active Radar Sensing and Passive Reflectors: Concepts & Initial Results.
Proceedings of the WiP Proceedings of the Thirteenth International Conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers (IPIN-WiP 2023) co-located with 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2023), Nuremberg, Germany, September 25, 2023

Indoor Positioning Based on Active Radar Sensing and Passive Reflectors: Reflector Placement Optimization.
Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023

Spectral Batch Normalization: Normalization in the Frequency Domain.
Proceedings of the International Joint Conference on Neural Networks, 2023

Weight Compander: A Simple Weight Reparameterization for Regularization.
Proceedings of the International Joint Conference on Neural Networks, 2023

A Semi-Paired Approach for Label-to-Image Translation.
Proceedings of the IEEE International Conference on Image Processing, 2023

NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robust Mean Teacher for Continual and Gradual Test-Time Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Variation-based Cause Effect Identification.
CoRR, 2022

Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning.
CoRR, 2022

Deep Feature Selection Using a Novel Complementary Feature Mask.
CoRR, 2022

CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement.
CoRR, 2022

Gradual Test-Time Adaptation by Self-Training and Style Transfer.
CoRR, 2022

A Deep-Learning-Aided Pipeline for Efficient Post-Silicon Tuning.
CoRR, 2022

Conditional Variable Selection for Intelligent Test.
CoRR, 2022

GLPU: A Geometric Approach For Lidar Pointcloud Upsampling.
CoRR, 2022

Few-Shot Object Detection in Unseen Domains.
Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022

Efficient and Robust Resistive Open Defect Detection Based on Unsupervised Deep Learning.
Proceedings of the IEEE International Test Conference, 2022

Wafer Map Defect Classification Based on the Fusion of Pattern and Pixel Information.
Proceedings of the IEEE International Test Conference, 2022

An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

CMGAN: Conformer-based Metric GAN for Speech Enhancement.
Proceedings of the Interspeech 2022, 2022

Dirichlet Prior Networks for Continual Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer.
Proceedings of the International Joint Conference on Neural Networks, 2022

Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2022

To Generalize or Not to Generalize: Towards Autoencoders in One-Class Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision.
Proceedings of the International Joint Conference on Neural Networks, 2022

On-Board Pedestrian Trajectory Prediction Using Behavioral Features.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Wavelet-Based Unsupervised Label-to-Image Translation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Classification-guided Neural Network-based Correction of Magnetic Resonance-related Gradient Artifact Residuals in Simultaneously Recorded Surface Electromyography.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Comparative Study on the Potential of Unsupervised Deep Learning-based Feature Selection in Radiomics.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022


MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2021

Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation.
IEEE Trans. Medical Imaging, 2021

A Learning-Aided Generic Framework for Fault Detection and Recovery of Inertial Sensors in Automated Driving Systems.
IEEE Syst. J., 2021

Unsupervised fault detection and recovery for intelligent robotic rollators.
Robotics Auton. Syst., 2021

Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing.
CoRR, 2021

Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows.
CoRR, 2021

Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra.
CoRR, 2021

Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study.
Comput. Medical Imaging Graph., 2021

Condensed Composite Memory Continual Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization.
Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Automated Multi-Organ Segmentation in Pet Images Using Cascaded Training of a 3d U-Net and Convolutional Autoencoder.
Proceedings of the IEEE International Conference on Acoustics, 2021

Uncertainty-Based Biological Age Estimation of Brain MRI Scans.
Proceedings of the IEEE International Conference on Acoustics, 2021

Towards Combined Event Detection and Classification for Non-Intrusive Load Monitoring Using Convolutional Neural Networks.
Proceedings of the 29th European Signal Processing Conference, 2021

Spectrum-Based Online Estimation of IQ Imbalance for Near Field Radar Distance Sensors.
Proceedings of the 29th European Signal Processing Conference, 2021

SLPC: A VRNN-based approach for stochastic lidar prediction and completion in autonomous driving.
Proceedings of the 29th European Signal Processing Conference, 2021

Investigating Cross-Domain Losses for Speech Enhancement.
Proceedings of the 29th European Signal Processing Conference, 2021

Anomaly Detection Based on Selection and Weighting in Latent Space.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020
OFDM-MIMO Radar With Optimized Nonequidistant Subcarrier Interleaving.
IEEE Trans. Aerosp. Electron. Syst., 2020

Interference-Aware Cognitive Radar: A Remedy to the Automotive Interference Problem.
IEEE Trans. Aerosp. Electron. Syst., 2020

Deep Open Set Recognition Using Dynamic Intra-class Splitting.
SN Comput. Sci., 2020

Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation.
CoRR, 2020

Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies.
CoRR, 2020

MedGAN: Medical image translation using GANs.
Comput. Medical Imaging Graph., 2020

Unsupervised Adversarial Correction of Rigid MR Motion Artifacts.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

ipA-MedGAN: Inpainting of Arbitrary Regions in Medical Imaging.
Proceedings of the IEEE International Conference on Image Processing, 2020

Continual Learning Through One-Class Classification Using VAE.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Supervised Canonical Correlation Analysis of Data on Symmetric Positive Definite Manifolds by Riemannian Dimensionality Reduction.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Entropy-based Sample Selection for Online Continual Learning.
Proceedings of the 28th European Signal Processing Conference, 2020

Feature-based Response Prediction to Immunotherapy of late-stage Melanoma Patients Using PET/MR Imaging.
Proceedings of the 28th European Signal Processing Conference, 2020

SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks.
Proceedings of the 28th European Signal Processing Conference, 2020

Semi-supervised Riemannian Dimensionality Reduction and Classification Using a Manifold-based Random Walker Graph.
Proceedings of the 28th European Signal Processing Conference, 2020

Grad-LAM: Visualization of Deep Neural Networks for Unsupervised Learning.
Proceedings of the 28th European Signal Processing Conference, 2020

Organ-Based Chronological Age Estimation Based on 3D MRI Scans.
Proceedings of the 28th European Signal Processing Conference, 2020

AeGAN: Time-Frequency Speech Denoising via Generative Adversarial Networks.
Proceedings of the 28th European Signal Processing Conference, 2020

Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Simultaneous Volumetric Segmentation of Vertebral Bodies and Intervertebral Discs on Fat-Water MR Images.
IEEE J. Biomed. Health Informatics, 2019

Wavelength-Diverse MIMO Radar: Parameter-Coupling, Array-Carrier Optimization and Direction-of-Arrival Estimation.
IEEE Trans. Aerosp. Electron. Syst., 2019

High-Performance Automotive Radar: A review of signal processing algorithms and modulation schemes.
IEEE Signal Process. Mag., 2019

Perceptual Speech Enhancement via Generative Adversarial Networks.
CoRR, 2019

ipA-MedGAN: Inpainting of Arbitrarily Regions in Medical Modalities.
CoRR, 2019

Organ-based Age Estimation based on 3D MRI Scans.
CoRR, 2019

Localizing Catastrophic Forgetting in Neural Networks.
CoRR, 2019

Deep One-Class Classification Using Data Splitting.
CoRR, 2019

Retrospective Correction Of Rigid And Non-Rigid MR Motion Artifacts Using Gans.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Continual Learning for Anomaly Detection with Variational Autoencoder.
Proceedings of the IEEE International Conference on Acoustics, 2019

Adversarial Inpainting of Medical Image Modalities.
Proceedings of the IEEE International Conference on Acoustics, 2019

One-Class Feature Learning Using Intra-Class Splitting.
Proceedings of the 27th European Signal Processing Conference, 2019

Open-Set Recognition Using Intra-Class Splitting.
Proceedings of the 27th European Signal Processing Conference, 2019

Prediction of FDG uptake in Lung Tumors from CT Images Using Generative Adversarial Networks.
Proceedings of the 27th European Signal Processing Conference, 2019

Spatial and Hierarchical Riemannian Dimensionality Reduction and Dictionary Learning for Segmenting Multichannel Images.
Proceedings of the 27th European Signal Processing Conference, 2019

Volumetric Surface-guided Graph-based Segmentation of Cardiac Adipose Tissues on Fat-Water MR Images.
Proceedings of the 27th European Signal Processing Conference, 2019

Training Variational Autoencoders with Discrete Latent Variables Using Importance Sampling.
Proceedings of the 27th European Signal Processing Conference, 2019

Unsupervised Medical Image Translation Using Cycle-MedGAN.
Proceedings of the 27th European Signal Processing Conference, 2019

An Adversarial Super-Resolution Remedy for Radar Design Trade-offs.
Proceedings of the 27th European Signal Processing Conference, 2019

Monte-Carlo Analysis for Quality Estimation of Gradient Correction Algorithms in Simultaneous Surface EMG-MRI Measurements using Signal Synthesis and Class Probability.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Deep One-Class Classification Using Intra-Class Splitting.
Proceedings of the IEEE Data Science Workshop, 2019

2018
A Novel Intercarrier-Interference Free Signal Processing Scheme for OFDM Radar.
IEEE Trans. Veh. Technol., 2018

Subset selection for visualization of relevant image fractions for deep learning based semantic image segmentation.
J. Frankl. Inst., 2018

On the contextual aspects of using deep convolutional neural network for semantic image segmentation.
J. Electronic Imaging, 2018

A Study of Human Body Characteristics Effect on Micro-Doppler-Based Person Identification using Deep Learning.
CoRR, 2018

Towards Adversarial Denoising of Radar Micro-Doppler Signatures.
CoRR, 2018

A Machine-learning framework for automatic reference-free quality assessment in MRI.
CoRR, 2018

MedGAN: Medical Image Translation using GANs.
CoRR, 2018

Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements.
CoRR, 2018

On the Feasibility of Generic Deep Disaggregation for Single-Load Extraction.
CoRR, 2018

Selective Sampling and Mixture Models in Generative Adversarial Networks.
CoRR, 2018

ImFEATbox: a toolbox for extraction and analysis of medical image features.
Int. J. Comput. Assist. Radiol. Surg., 2018

Hierarchical Feature-learning Graph-based Segmentation of Fat-Water MR Images.
Proceedings of the Signal Processing: Algorithms, 2018

Ensemble Learning to EEG-Based Brain Computer Interfaces with Applications on P300-Spellers.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Binary Segmentation Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Semantic Organ Segmentation in 3D Whole-Body MR Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Automated Detection of High FDG Uptake Regions in CT Images.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Person Recognition Based on Micro-Doppler and Thermal Infrared Camera Fusion for Firefighting.
Proceedings of the 21st International Conference on Information Fusion, 2018

Short-Duration Doppler Spectrogram for Person Recognition with a Handheld Radar.
Proceedings of the 26th European Signal Processing Conference, 2018

Active Learning for One-Class Classification Using Two One-Class Classifiers.
Proceedings of the 26th European Signal Processing Conference, 2018

A Hierarchical Ensemble Classifier for Multilabel Segmentation of Fat-Water MR Images.
Proceedings of the 26th European Signal Processing Conference, 2018

Automated Detection of Solar Cell Defects with Deep Learning.
Proceedings of the 26th European Signal Processing Conference, 2018

A Surface Electromyography-Driven Magnetic Resonance Sequence Controller for Real-Time Myoelectric Triggered Imaging.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Multi-level attention model for weakly supervised audio classification.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017
MR-based respiratory and cardiac motion correction for PET imaging.
Medical Image Anal., 2017

Accurate robust nonlinear surface registration with simultaneous point cloud and triangular mesh representation.
Proceedings of the Signal Processing: Algorithms, 2017

A novel objective function based on a generalized kelly criterion for deep learning.
Proceedings of the Signal Processing: Algorithms, 2017

A model for improved association of radar and camera objects in an indoor environment.
Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2017

An easy-to-use image labeling platform for automatic magnetic resonance image quality assessment.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Unsupervised image segmentation using convolutional autoencoder with total variation regularization as preprocessing.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A novel layerwise pruning method for model reduction of fully connected deep neural networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Selecting optimal layer reduction factors for model reduction of deep neural networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Design of multi-carrier MIMO radar array for DOA estimation.
Proceedings of the 25th European Signal Processing Conference, 2017

Active learning with cross-dataset validation in event-based non-intrusive load monitoring.
Proceedings of the 25th European Signal Processing Conference, 2017

Automatic atlas-guided constrained random Walker algorithm for 3D segmentation of muscles on water magnetic resonance images.
Proceedings of the 25th European Signal Processing Conference, 2017

A continuous cost function for the reconstruction of wired networks from reflection measurements.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
MR Image Reconstruction Using a Combination of Compressed Sensing and Partial Fourier Acquisition: ESPReSSo.
IEEE Trans. Medical Imaging, 2016

Saliency-guided object proposal for refined salient region detection.
Proceedings of the 2016 Visual Communications and Image Processing, 2016

An unsupervised object-level image segmentation method based on foreground and background priors.
Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016

On semantic image segmentation using deep convolutional neural network with shortcuts and easy class extension.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016

A novel DNN-HMM-based approach for extracting single loads from aggregate power signals.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Active learning for magnetic resonance image quality assessment.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A novel feedforward noise shaping for word-length reduction.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Direction-of-arrival estimation and Cramer-Rao bound for multi-carrier MIMO radar.
Proceedings of the 24th European Signal Processing Conference, 2016

A novel narrowband interference suppression method for OFDM radar.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
On the spectral growth of the polar representation of communication signals.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Combining Compressed Sensing with motion correction in acquisition and reconstruction for PET/MR.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A new unsupervised event detector for non-intrusive load monitoring.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

A new approach for supervised power disaggregation by using a deep recurrent LSTM network.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Toward a semi-supervised non-intrusive load monitoring system for event-based energy disaggregation.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Inference of wired network topology using multipoint reflectometry.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Eyelid-based driver state classification under simulated and real driving conditions.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Optimal time division multiplexing schemes for DOA estimation of a moving target using a colocated MIMO radar.
Proceedings of the 2014 IEEE International Symposium on Signal Processing and Information Technology, 2014

A theoretical study of the statistical and spectral properties of polar transmitter signals.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Locality Sensitive Hashing Using GMM.
Proceedings of the Pattern Recognition - 36th German Conference, 2014

2013
Cramér-Rao Bound for Circular and Noncircular Complex Independent Component Analysis.
IEEE Trans. Signal Process., 2013

Maximum discriminant margin transform of discriminant functions.
Proceedings of the IEEE International Conference on Acoustics, 2013

Colocated MIMO radar: Cramer-Rao bound and optimal time division multiplexing for DOA estimation of moving targets.
Proceedings of the IEEE International Conference on Acoustics, 2013

Segmentation of magnetic resonance images in presence of severe intensity inhomogeneities.
Proceedings of the IEEE International Conference on Acoustics, 2013

Fast and reliable TDOA assignment in multi-source reverberant environments.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Bayesian Estimation for Nonstandard Loss Functions Using a Parametric Family of Estimators.
IEEE Trans. Signal Process., 2012

Identification and validation of lateral driver models on experimentally induced driving behavior.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

An efficient algorithm for the synthesis of fully consistent graphs.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Cramér-Rao Bound for Circular Complex Independent Component Analysis.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

On the solution of circular and noncircular complex KLD-ICA in the presence of noise.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Antenna geometry optimization for 2D direction-of-arrival estimation for radar imaging.
Proceedings of the 2011 International ITG Workshop on Smart Antennas, 2011

An introduction to consistent graphs and their signal processing applications.
Proceedings of the IEEE International Conference on Acoustics, 2011

Recursive estimation of room impulse responses with energy conservation constraints.
Proceedings of the IEEE International Conference on Acoustics, 2011

On the relation between ICA and MMSE based source separation.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Efficient recursive estimators for a linear, time-varying Gaussian model with general constraints.
IEEE Trans. Signal Process., 2010

Array geometry optimization for direction-of-arrival estimation including subarrays and tapering.
Proceedings of the 2010 International ITG Workshop on Smart Antennas, 2010

Motion compensation for obstacle detection based on homography and odometric data with virtual camera perspectives.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

Automatic extrinsic camera self-calibration based on homography and epipolar geometry.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

Camera-based drowsiness reference for driver state classification under real driving conditions.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

Estimation of lane data-based features by odometric vehicle data for driver state monitoring.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

On the robustness of the multidimensional state coherence transform for solving the permutation problem of frequency-domain ICA.
Proceedings of the IEEE International Conference on Acoustics, 2010

Adaptive Segmentation and Separation of Determined Convolutive Mixtures under Dynamic Conditions.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Blind Source Separation Based on Time-Frequency Sparseness in the Presence of Spatial Aliasing.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

A parametric family of Bayesian estimators for non-standard loss functions.
Proceedings of the 18th European Signal Processing Conference, 2010

Efficient synthesis of consistent graphs.
Proceedings of the 18th European Signal Processing Conference, 2010

Drowsiness monitoring by steering and lane data based features under real driving conditions.
Proceedings of the 18th European Signal Processing Conference, 2010

Comparison of Different Algorithms for Acoustic Source Localization.
Proceedings of the 9. ITG-Fachtagung Sprachkommunikation 2010, 2010

A graph theoretical framework for consistent time differences of arrival.
Proceedings of the 9. ITG-Fachtagung Sprachkommunikation 2010, 2010

2009
MMSE estimation in a linear signal model with ellipsoidal constraints.
Proceedings of the IEEE International Conference on Acoustics, 2009

Online blind source separation based on time-frequency sparseness.
Proceedings of the IEEE International Conference on Acoustics, 2009

Robustification and optimization of a Kalman filter with measurement loss using linear precoding.
Proceedings of the American Control Conference, 2009

2008
Disambiguation of TDOA Estimation for Multiple Sources in Reverberant Environments.
IEEE Trans. Speech Audio Process., 2008

A study of inverse short-time fourier transform.
Proceedings of the IEEE International Conference on Acoustics, 2008

A generalized optimal correlating transform for multiple description coding and its theoretical analysis.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Different Sensor Placement Strategies for TDOA Based Localization.
Proceedings of the IEEE International Conference on Acoustics, 2007

Efficient Synthesis of Approximately Consistent Graphs for Acoustic Multi-Source Localization.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
A Theoretical Analysis of 2D Sensor Arrays for TDOA Based Localization.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Disambiguation of TDOA Estimates in Multi-Path Multi-Source Environments (DATEMM).
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Cramer-Rao bound and optimum sensor array for source localization from time differences of arrival.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

1996
Subspace tracking with adaptive threshold rank estimation.
J. VLSI Signal Process., 1996

Adaptive rank estimation for spherical subspace trackers.
IEEE Trans. Signal Process., 1996

Asymptotic convergence analysis of the projection approximation subspace tracking algorithms.
Signal Process., 1996

Error Propagation In the Pastd Algorithm.
Proceedings of the Fourth International Symposium on Signal Processing and Its Applications, 1996

Asymptotic distribution of recursive subspace estimators.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Convergence analysis of the subspace tracking algorithms PAST and PASTd.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Projection approximation subspace tracking.
IEEE Trans. Signal Process., 1995

An extension of the PASTd algorithm to both rank and subspace tracking.
IEEE Signal Process. Lett., 1995

A robust and efficient algorithm for source parameter estimation.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
A note on the error propagation analysis of recursive least squares algorithms.
IEEE Trans. Signal Process., 1994

An adaptive algorithm of linear computational complexity for both rank and subspace tracking.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

A new efficient subspace tracking algorithm based on singular value decomposition.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993
A rotation based multichannel least squares lattice algorithm for adaptive nonlinear filters.
Proceedings of the 1993 IEEE International Symposium on Circuits and Systems, 1993

Subspace tracking based on the projection approach and the recursive least squares method.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
Rotation-based RLS algorithms: unified derivations, numerical properties, and parallel implementations.
IEEE Trans. Signal Process., 1992

1989
On a systolic implementation and the numerical properties of a multiple constrained adaptive beamformer.
Proceedings of the IEEE International Conference on Acoustics, 1989

1988
Systolic implementation of a general adaptive array processing algorithm.
Proceedings of the IEEE International Conference on Acoustics, 1988


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