Adrian Barbu

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 43

Top Topics

Top Venues

Publications

Cheng Long, Adrian Barbu
A Study of Shape Modeling Against Noise. CoRR (2024)
Hakan Pabuccu, Adrian Barbu
Feature Selection for Forecasting. CoRR (2023)
Yiyuan She, Jiahui Shen, Adrian Barbu
Slow Kill for Big Data Learning. IEEE Trans. Inf. Theory 69 (9) (2023)
Yiyuan She, Jianhui Shen, Adrian Barbu
Slow Kill for Big Data Learning. CoRR (2023)
Yijia Zhou, Kyle A. Gallivan, Adrian Barbu
Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers. CoRR (2023)
Mingyuan Wang, Adrian Barbu
Online Feature Screening for Data Streams With Concept Drift. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Adrian Barbu
Training a Two-Layer ReLU Network Analytically. Sensors 23 (8) (2023)
Adrian Barbu
Training a Two Layer ReLU Network Analytically. CoRR (2023)
Jason Zhang, Adrian Barbu
Reliable Classification using Compact Support Probabilistic PCA. ICMLA (2023)
Boshi Wang, Adrian Barbu
Scalable Learning with Incremental Probabilistic PCA. Big Data (2022)
Cheng Long, Adrian Barbu
A Study of Shape Modeling Against Noise. ICIP (2022)
Yangzi Guo, Yiyuan She, Adrian Barbu
Network Pruning via Annealing and Direct Sparsity Control. IJCNN (2021)
Adrian Barbu, Hongyu Mou
The Compact Support Neural Network. Sensors 21 (24) (2021)
Mingyuan Wang, Adrian Barbu
Online Feature Screening for Data Streams with Concept Drift. CoRR (2021)
Hua Huang, Adrian Barbu
Predicting Lane Change Decision Making with Compact Support. IV (2021)
Adrian Barbu, Hongyu Mou
The Compact Support Neural Network. CoRR (2021)
Yangzi Guo, Ying Nian Wu, Adrian Barbu
A Study of Local Optima for Learning Feature Interactions using Neural Networks. IJCNN (2021)
Gitesh Dawer, Yangzi Guo, Sida Liu, Adrian Barbu
Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks. IJCNN (2020)
Donghang Li, Adrian Barbu
Training a Steerable CNN for Guidewire Detection. CVPR (2020)
Brian Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher
The Generalization-Stability Tradeoff In Neural Network Pruning. NeurIPS (2020)
Yangzi Guo, Yiyuan She, Adrian Barbu
Training Efficient Network Architecture and Weights via Direct Sparsity Control. CoRR (2020)
Gitesh Dawer, Yangzi Guo, Adrian Barbu
Generating Compact Tree Ensembles via Annealing. IJCNN (2020)
Gitesh Dawer, Yangzi Guo, Sida Liu, Adrian Barbu
Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks. CoRR (2020)
Yangzi Guo, Adrian Barbu
A study of local optima for learning feature interactions using neural networks. CoRR (2020)
Orhan Akal, Adrian Barbu
Learning Chan-Vese. ICIP (2019)
Donghang Li, Adrian Barbu
Training a CNN for Guidewire Detection. ICIP (2019)
Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher
The Generalization-Stability Tradeoff in Neural Network Pruning. CoRR (2019)
Hua Huang, Adrian Barbu
Playing Atari Ball Games with Hierarchical Reinforcement Learning. CoRR (2019)
Nathan Lay, Adam P. Harrison, Sharon Schreiber, Gitesh Dawer, Adrian Barbu
Random Hinge Forest for Differentiable Learning. CoRR (2018)
Adrian Barbu, Le Lu, Holger Roth, Ari Seff, Ronald M. Summers
An analysis of robust cost functions for CNN in computer-aided diagnosis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6 (3) (2018)
Nathan Lay, Yohannes Tsehay, Yohan Sumathipala, Ruida Cheng, Sonia Gaur, Clayton Smith, Adrian Barbu, Le Lu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Ronald M. Summers
A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. MICCAI (2) (2018)
Orhan Akal, Tathagata Mukherjee, Adrian Barbu, Jared Devin Paquet, Kevin George, Eduardo L. Pasiliao
A Distributed Sensing Approach for Single Platform Image-Based Localization. ICMLA (2018)
Josue Anaya, Adrian Barbu
RENOIR - A dataset for real low-light image noise reduction. J. Vis. Commun. Image Represent. 51 (2018)
Ajay Gupta, Adrian Barbu
Parameterized principal component analysis. Pattern Recognit. 78 (2018)
Lizhe Sun, Adrian Barbu
Online Regression with Model Selection. CoRR (2018)
Sida Liu, Adrian Barbu
Unsupervised Learning of Mixture Models with a Uniform Background Component. CoRR (2018)
Mingyuan Wang, Adrian Barbu
Are screening methods useful in feature selection? An empirical study. CoRR (2018)
Hongyu Mou, Adrian Barbu
Accurate Dictionary Learning with Direct Sparsity Control. ICIP (2018)
Brian Bartoldson, Adrian Barbu, Gordon Erlebacher
Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks. CoRR (2018)
Gitesh Dawer, Adrian Barbu
Relevant Ensemble of Trees. CoRR (2017)
Adrian Barbu
A directed graph approach to active contours. ICIP (2017)
Adrian Barbu, Yiyuan She, Liangjing Ding, Gary Gramajo
Feature Selection with Annealing for Computer Vision and Big Data Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39 (2) (2017)
Ajay Gupta, Adrian Barbu
Parameterized Principal Component Analysis. CoRR (2016)
Adrian Barbu, Iasonas Kokkinos
Editorial introduction to the CVIU special issue on "Generative models in computer vision and medical imaging". Comput. Vis. Image Underst. 136 (2015)
Ari Seff, Le Lu, Adrian Barbu, Holger Roth, Hoo-Chang Shin, Ronald M. Summers
Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. MICCAI (2) (2015)
Eric Joe Coyle, Rodney G. Roberts, Emmanuel G. Collins Jr., Adrian Barbu
Synthetic data generation for classification via uni-modal cluster interpolation. Auton. Robots 37 (1) (2014)
Josue Anaya, Adrian Barbu
RENOIR - A Benchmark Dataset for Real Noise Reduction Evaluation. CoRR (2014)
Adrian Barbu, Gary Gramajo
Face Detection Using a 3D Model on Face Keypoints. CoRR (2014)
Adrian Barbu, Yiyuan She
Fast Simultaneous Feature Selection and Learning. CoRR (2013)
Adrian Barbu
Hierarchical Object Parsing from Structured Noisy Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 35 (7) (2013)
Adrian Barbu, Maria Pavlovskaia, Song Chun Zhu
Rates for Inductive Learning of Compositional Models. AAAI Workshop: Learning Rich Representations from Low-Level Sensors (2013)
Kai Zhang, Emmanuel G. Collins Jr., Adrian Barbu
An Efficient Stochastic Clustering Auction for Heterogeneous Robotic Collaborative Teams. J. Intell. Robotic Syst. 72 (3-4) (2013)
Kai Zhang, Emmanuel G. Collins Jr., Adrian Barbu
An efficient stochastic clustering auction for heterogeneous robot teams. ICRA (2012)
Liangjing Ding, Adrian Barbu, Anke Meyer-Baese
Motion Segmentation by Velocity Clustering with Estimation of Subspace Dimension. ACCV Workshops (2) (2012)
Adrian Barbu, Nathan Lay
An introduction to artificial prediction markets for classification. J. Mach. Learn. Res. 13 (2012)
Liangjing Ding, Adrian Barbu, Anke Meyer-Baese
Learning a Quality-Based Ranking for Feature Point Trajectories. ACCV (3) (2012)
Adrian Barbu, Michael Sühling, Xun Xu, David Liu, Shaohua Kevin Zhou, Dorin Comaniciu
Automatic Detection and Segmentation of Lymph Nodes From CT Data. IEEE Trans. Medical Imaging 31 (2) (2012)
Adrian Barbu, Nathan Lay
An Introduction to Artificial Prediction Markets for Classification CoRR (2011)
Wen Wu, Terrence Chen, Peng Wang, Shaohua Kevin Zhou, Dorin Comaniciu, Adrian Barbu, Norbert Strobel
Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy. CVPR (2011)
Adrian Barbu
Hierarchical Object Parsing from Noisy Point Clouds CoRR (2011)
Nathan Lay, Adrian Barbu
Supervised Aggregation of Classifiers using Artificial Prediction Markets. ICML (2010)
Kai Zhang, Emmanuel G. Collins Jr., Adrian Barbu
A novel Stochastic Clustering Auction for task allocation in multi-robot teams. IROS (2010)
Adrian Barbu, Michael Sühling, Xun Xu, David Liu, Shaohua Kevin Zhou, Dorin Comaniciu
Automatic Detection and Segmentation of Axillary Lymph Nodes. MICCAI (1) (2010)
Adrian Barbu
Training an Active Random Field for Real-Time Image Denoising. IEEE Trans. Image Process. 18 (11) (2009)
Sascha Seifert, Adrian Barbu, Shaohua Kevin Zhou, David Liu, Johannes Feulner, Martin Huber, Michael Sühling, Alexander Cavallaro, Dorin Comaniciu
Hierarchical parsing and semantic navigation of full body CT data. Medical Imaging: Image Processing (2009)
Adrian Barbu
Learning real-time MRF inference for image denoising. CVPR (2009)
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, Dorin Comaniciu
Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features. IEEE Trans. Medical Imaging 27 (11) (2008)
Yefeng Zheng, Bogdan Georgescu, Adrian Barbu, Michael Scheuering, Dorin Comaniciu
Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes. Medical Imaging: Image Processing (2008)
Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Marcos Salganicoff, Dorin Comaniciu
Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model. CVPR (2008)
Richard Socher, Adrian Barbu, Dorin Comaniciu
A learning based hierarchical model for vessel segmentation. ISBI (2008)
Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Luca Bogoni, Marcos Salganicoff, Dorin Comaniciu
Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography. ECCV (4) (2008)
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, Dorin Comaniciu
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features. ICCV (2007)
Adrian Barbu, Vassilis Athitsos, Bogdan Georgescu, Stefan Böhm, Peter Durlak, Dorin Comaniciu
Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy. CVPR (2007)
Adrian Barbu, Luca Bogoni, Dorin Comaniciu
Hierarchical Part-Based Detection of 3D Flexible Tubes: Application to CT Colonoscopy. MICCAI (2) (2006)
Zhuowen Tu, Xiang Sean Zhou, Luca Bogoni, Adrian Barbu, Dorin Comaniciu
Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment. CVPR (2) (2006)
Adrian Barbu, Song Chun Zhu
Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities. IEEE Trans. Pattern Anal. Mach. Intell. 27 (8) (2005)
Adrian Barbu, Song Chun Zhu
Incorporating Visual Knowledge Representation in Stereo Reconstruction. ICCV (2005)
Adrian Barbu, Alan L. Yuille
Motion Estimation by Swendsen-Wang Cuts. CVPR (1) (2004)
Adrian Barbu, Song Chun Zhu
Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition. CVPR (2) (2004)
Adrian Barbu, Song Chun Zhu
On the Relationship Between Image and Motion Segmentation. SCVMA (2004)
Adrian Barbu, Song Chun Zhu
Graph Partition by Swendsen-Wang Cuts. ICCV (2003)