Adrian Barbu

Song-Chun Zhu, Adrian Barbu, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Fast Simultaneous Feature Selection and Learning pdf

Adrian Barbu, Yiyuan She, Y. She, 2013, ArXiv.

Face Detection Using a 3D Model on Face Keypoints pdf

Adrian Barbu, Gary Gramajo, Adrian Barbu, 2014, ArXiv.

Prolonged treatment with open-label pirfenidone in Hermansky-Pudlak syndrome pulmonary fibrosis.

Adrian Barbu, W. Gahl, M. Merideth, 2018, Molecular genetics and metabolism.

Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks

Gitesh Dawer, Adrian Barbu, Yangzi Guo, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Dynamical complex network theory applied to the therapeutics of brain malignancies

Anke Meyer-Bäse, Adrian Barbu, Daniel Fratte, 2015, Commercial + Scientific Sensing and Imaging.

Hierarchical parsing and semantic navigation of full body CT data

Dorin Comaniciu, Adrian Barbu, Shaohua Kevin Zhou, 2009, Medical Imaging.

The Ring Generated by the Elements of Degree 2 in H*(Un(Fp), Z)

Adrian Barbu, 2001 .

Automatic Detection and Segmentation of Axillary Lymph Nodes

Xun Xu, Dorin Comaniciu, Adrian Barbu, 2010, MICCAI.

A Study of Local Optima for Learning Feature Interactions using Neural Networks pdf

Adrian Barbu, Yangzi Guo, Adrian Barbu, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

Cluster sampling and its applications to segmentation, stereo and motion

Song-Chun Zhu, Adrian Barbu, 2005 .

An Efficient Stochastic Clustering Auction for Heterogeneous Robotic Collaborative Teams

Kai Zhang, Adrian Barbu, Emmanuel G. Collins, 2013, J. Intell. Robotic Syst..

Slow Kill for Big Data Learning

Y. She, Adrian Barbu, Jianhui Shen, 2023, IEEE Transactions on Information Theory.

Hierarchical Object Parsing from Structured Noisy Point Clouds

Adrian Barbu, Adrian Barbu, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Online Feature Screening for Data Streams with Concept Drift pdf

Adrian Barbu, Mingyuan Wang, Adrian Barbu, 2021, IEEE Transactions on Knowledge and Data Engineering.

The Generalization-Stability Tradeoff in Neural Network Pruning pdf

Gordon Erlebacher, Adrian Barbu, Ari S. Morcos, 2019, NeurIPS.

Boosting cross-modality image registration

Adrian Barbu, Razvan Ionasec, Adrian Barbu, 2009, 2009 Joint Urban Remote Sensing Event.

An Efficient Stochastic Clustering Auction for Heterogeneous Robotic Collaborative Teams

E. Collins, Adrian Barbu, Kai Zhang, 2013, Journal of Intelligent & Robotic Systems.

An efficient stochastic clustering auction for heterogeneous robot teams

Adrian Barbu, Emmanuel G. Collins, Kai Zhang, 2012, 2012 IEEE International Conference on Robotics and Automation.

A novel Stochastic Clustering Auction for task allocation in multi-robot teams

Kai Zhang, Adrian Barbu, Emmanuel G. Collins, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Training a Steerable CNN for Guidewire Detection

Adrian Barbu, Donghang Li, Adrian Barbu, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

On a Conjecture of Ash

Adrian Barbu, 2002 .

Learning Chan-Vese

Adrian Barbu, Orhan Akal, Adrian Barbu, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

A directed graph approach to active contours

Adrian Barbu, Adrian Barbu, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Feature Selection for Forecasting

Adrian Barbu, Hakan Pabuçcu, 2023, ArXiv.

Feature Selection with Annealing for Computer Vision and Big Data Learning

Adrian Barbu, Yiyuan She, Gary Gramajo, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning real-time MRF inference for image denoising

Adrian Barbu, Adrian Barbu, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Supervised Aggregation of Classifiers using Artificial Prediction Markets

Nathan Lay, Adrian Barbu, Adrian Barbu, 2010, ICML.

Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers

K. Gallivan, Adrian Barbu, Yiji Zhou, 2023, arXiv.org.

Are screening methods useful in feature selection? An empirical study

Adrian Barbu, Mingyuan Wang, Adrian Barbu, 2018, PloS one.

Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features

Dorin Comaniciu, Adrian Barbu, Yefeng Zheng, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Artificial prediction markets for lymph node detection

Nathan Lay, Adrian Barbu, Adrian Barbu, 2013, 2013 E-Health and Bioengineering Conference (EHB).

Playing Atari Ball Games with Hierarchical Reinforcement Learning pdf

Adrian Barbu, Hua Huang, Adrian Barbu, 2019, ArXiv.

Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes

Dorin Comaniciu, Adrian Barbu, Yefeng Zheng, 2008, SPIE Medical Imaging.

Parameterized principal component analysis

Adrian Barbu, Ajay Gupta, Adrian Barbu, 2016, Pattern Recognit..

Scalable Learning with Incremental Probabilistic PCA

Adrian Barbu, Boshi Wang, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Scalable Subspace Clustering with Application to Motion Segmentation

Adrian Barbu, Liangjing Ding, Adrian Barbu, 2015 .

Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment

Zhuowen Tu, Dorin Comaniciu, Adrian Barbu, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection

Ronald M. Summers, Adrian Barbu, Holger Roth, 2015, MICCAI.

Computer-aided diagnosis of breast MRI with high accuracy optical flow estimation

Bernhard Burgeth, Adrian Barbu, Andreas Kleefeld, 2015, Commercial + Scientific Sensing and Imaging.

A Distributed Sensing Approach for Single Platform Image-Based Localization

Adrian Barbu, Tathagata Mukherjee, Eduardo L. Pasiliao, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features

D. Comaniciu, Adrian Barbu, B. Georgescu, 2008, IEEE Transactions on Medical Imaging.

Training a Two-Layer ReLU Network Analytically

Adrian Barbu, 2023, Sensors.

Assimilation of surface soil moisture into a multilayer soil model: design and evaluation at local scale

Adrian Barbu, J. Mahfouf, J. Calvet, 2013 .

Automatic Detection and Segmentation of Lymph Nodes From CT Data

Xun Xu, Dorin Comaniciu, Adrian Barbu, 2012, IEEE Transactions on Medical Imaging.

Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy

Dorin Comaniciu, Adrian Barbu, Vassilis Athitsos, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography

Dorin Comaniciu, Adrian Barbu, Le Lu, 2008, ECCV.

Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model

Dorin Comaniciu, Adrian Barbu, Le Lu, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

RENOIR - A Benchmark Dataset for Real Noise Reduction Evaluation pdf

Adrian Barbu, Josue Anaya, Adrian Barbu, 2014, ArXiv.

Motion estimation by Swendsen-Wang Cuts

Adrian Barbu, Alan L. Yuille, A. Yuille, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Online Regression with Model Selection

Adrian Barbu, Lizhe Sun, 2018, ArXiv.

Generating Compact Tree Ensembles via Annealing

Adrian Barbu, Gitesh Dawer, Yangzi Guo, 2017, 2020 International Joint Conference on Neural Networks (IJCNN).

Relevant Ensemble of Trees

Adrian Barbu, Gitesh Dawer, 2017, ArXiv.

A Study of Shape Modeling Against Noise

Adrian Barbu, Cheng Long, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Learning with Stochastic Gradient

Adrian Barbu, Song-Chun Zhu, Song-Chun Zhu, 2020 .