Graph Partition by Swendsen-Wang Cuts. - Adrian Barbu; Song Chun Zhu (ICCV, 2003)

Motion Estimation by Swendsen-Wang Cuts. - Adrian Barbu; Alan L. Yuille (CVPR (1), 2004)

Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition. - Adrian Barbu; Song Chun Zhu (CVPR (2), 2004)

On the Relationship Between Image and Motion Segmentation. - Adrian Barbu; Song Chun Zhu (SCVMA, 2004)

Incorporating Visual Knowledge Representation in Stereo Reconstruction. - Adrian Barbu; Song Chun Zhu (ICCV, 2005)

Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities. - Adrian Barbu; Song Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment. - Zhuowen Tu; Xiang Sean Zhou; Luca Bogoni; Adrian Barbu; Dorin Comaniciu (CVPR (2), 2006)

Hierarchical Part-Based Detection of 3D Flexible Tubes: Application to CT Colonoscopy. - Adrian Barbu; Luca Bogoni; Dorin Comaniciu (MICCAI (2), 2006)

Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy. - Adrian Barbu; Vassilis Athitsos; Bogdan Georgescu; Stefan Böhm; Peter Durlak; Dorin Comaniciu (CVPR, 2007)

Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features. - Yefeng Zheng 001; Adrian Barbu; Bogdan Georgescu; Michael Scheuering; Dorin Comaniciu (ICCV, 2007)

Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model. - Le Lu 001; Adrian Barbu; Matthias Wolf 001; Jianming Liang; Marcos Salganicoff; Dorin Comaniciu (CVPR, 2008)

Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography. - Le Lu 001; Adrian Barbu; Matthias Wolf 001; Jianming Liang; Luca Bogoni; Marcos Salganicoff; Dorin Comaniciu (ECCV (4), 2008)

A learning based hierarchical model for vessel segmentation. - Richard Socher; Adrian Barbu; Dorin Comaniciu (ISBI, 2008)

Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes. - Yefeng Zheng 001; Bogdan Georgescu; Adrian Barbu; Michael Scheuering; Dorin Comaniciu (Image Processing, 2008)

Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features. - Yefeng Zheng 001; Adrian Barbu; Bogdan Georgescu; Michael Scheuering; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2008)

Learning real-time MRF inference for image denoising. - Adrian Barbu (CVPR, 2009)

Hierarchical parsing and semantic navigation of full body CT data. - Sascha Seifert; Adrian Barbu; Shaohua Kevin Zhou; David Liu 001; Johannes Feulner; Martin Huber 001; Michael Sühling; Alexander Cavallaro; Dorin Comaniciu (Image Processing, 2009)

Training an Active Random Field for Real-Time Image Denoising. - Adrian Barbu (IEEE Trans. Image Process., 2009)

Supervised Aggregation of Classifiers using Artificial Prediction Markets. - Nathan Lay; Adrian Barbu (ICML, 2010)

A novel Stochastic Clustering Auction for task allocation in multi-robot teams. - Kai Zhang; Emmanuel G. Collins Jr.; Adrian Barbu (IROS, 2010)

Automatic Detection and Segmentation of Axillary Lymph Nodes. - Adrian Barbu; Michael Sühling; Xun Xu; David Liu 001; Shaohua Kevin Zhou; Dorin Comaniciu (MICCAI (1), 2010)

Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy. - Wen Wu 004; Terrence Chen; Peng Wang 005; Shaohua Kevin Zhou; Dorin Comaniciu; Adrian Barbu; Norbert Strobel (CVPR, 2011)

Hierarchical Object Parsing from Noisy Point Clouds - Adrian Barbu (CoRR, 2011)

Learning a Quality-Based Ranking for Feature Point Trajectories. - Liangjing Ding; Adrian Barbu; Anke Meyer-Baese (ACCV (3), 2012)

Motion Segmentation by Velocity Clustering with Estimation of Subspace Dimension. - Liangjing Ding; Adrian Barbu; Anke Meyer-Baese (ACCV Workshops (2), 2012)

An efficient stochastic clustering auction for heterogeneous robot teams. - Kai Zhang; Emmanuel G. Collins Jr.; Adrian Barbu (ICRA, 2012)

An introduction to artificial prediction markets for classification. - Adrian Barbu; Nathan Lay (J. Mach. Learn. Res., 2012)

Automatic Detection and Segmentation of Lymph Nodes From CT Data. - Adrian Barbu; Michael Sühling; Xun Xu; David Liu 001; Shaohua Kevin Zhou; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2012)

Rates for Inductive Learning of Compositional Models. - Adrian Barbu; Maria Pavlovskaia; Song Chun Zhu (AAAI Workshop: Learning Rich Representations from Low-Level Sensors, 2013)

Fast Simultaneous Feature Selection and Learning. - Adrian Barbu; Yiyuan She (CoRR, 2013)

An Efficient Stochastic Clustering Auction for Heterogeneous Robotic Collaborative Teams. - Kai Zhang; Emmanuel G. Collins Jr.; Adrian Barbu (J. Intell. Robotic Syst., 2013)

Hierarchical Object Parsing from Structured Noisy Point Clouds. - Adrian Barbu (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Synthetic data generation for classification via uni-modal cluster interpolation. - Eric Joe Coyle; Rodney G. Roberts; Emmanuel G. Collins Jr.; Adrian Barbu (Auton. Robots, 2014)

RENOIR - A Benchmark Dataset for Real Noise Reduction Evaluation. - Josue Anaya; Adrian Barbu (CoRR, 2014)

Face Detection Using a 3D Model on Face Keypoints. - Adrian Barbu; Gary Gramajo (CoRR, 2014)

Swendsen-Wang Algorithm. - Adrian Barbu (Computer Vision, A Reference Guide, 2014)

Swendsen-Wang Cut Algorithm. - Adrian Barbu (Computer Vision, A Reference Guide, 2014)

Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. - Ari Seff; Le Lu 001; Adrian Barbu; Holger Roth; Hoo-Chang Shin; Ronald M. Summers (MICCAI (2), 2015)

Editorial introduction to the CVIU special issue on "Generative models in computer vision and medical imaging". - Adrian Barbu; Iasonas Kokkinos (Comput. Vis. Image Underst., 2015)

A directed graph approach to active contours. - Adrian Barbu (ICIP, 2017)

Relevant Ensemble of Trees. - Gitesh Dawer; Adrian Barbu (CoRR, 2017)

Feature Selection with Annealing for Computer Vision and Big Data Learning. - Adrian Barbu; Yiyuan She; Liangjing Ding; Gary Gramajo (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Accurate Dictionary Learning with Direct Sparsity Control. - Hongyu Mou; Adrian Barbu (ICIP, 2018)

A Distributed Sensing Approach for Single Platform Image-Based Localization. - Orhan Akal; Tathagata Mukherjee; Adrian Barbu; Jared Devin Paquet; Kevin George; Eduardo L. Pasiliao (ICMLA, 2018)

A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. - Nathan Lay; Yohannes Tsehay; Yohan Sumathipala; Ruida Cheng; Sonia Gaur; Clayton Smith; Adrian Barbu; Le Lu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Ronald M. Summers (MICCAI (2), 2018)

An analysis of robust cost functions for CNN in computer-aided diagnosis. - Adrian Barbu; Le Lu 001; Holger Roth; Ari Seff; Ronald M. Summers (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Random Hinge Forest for Differentiable Learning. - Nathan Lay; Adam P. Harrison; Sharon Schreiber; Gitesh Dawer; Adrian Barbu (CoRR, 2018)

Online Regression with Model Selection. - Lizhe Sun; Adrian Barbu (CoRR, 2018)

Unsupervised Learning of Mixture Models with a Uniform Background Component. - Sida Liu; Adrian Barbu (CoRR, 2018)

Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks. - Brian R. Bartoldson; Adrian Barbu; Gordon Erlebacher (CoRR, 2018)

Are screening methods useful in feature selection? An empirical study. - Mingyuan Wang 005; Adrian Barbu (CoRR, 2018)

RENOIR - A dataset for real low-light image noise reduction. - Josue Anaya; Adrian Barbu (J. Vis. Commun. Image Represent., 2018)

Parameterized principal component analysis. - Ajay Gupta; Adrian Barbu (Pattern Recognit., 2018)

Learning Chan-Vese. - Orhan Akal; Adrian Barbu (ICIP, 2019)

Training a CNN for Guidewire Detection. - Donghang Li; Adrian Barbu (ICIP, 2019)

Playing Atari Ball Games with Hierarchical Reinforcement Learning. - Hua Huang; Adrian Barbu (CoRR, 2019)

Training a Steerable CNN for Guidewire Detection. - Donghang Li; Adrian Barbu (CVPR, 2020)

Generating Compact Tree Ensembles via Annealing. - Gitesh Dawer; Yangzi Guo; Adrian Barbu (IJCNN, 2020)

Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks. - Gitesh Dawer; Yangzi Guo; Sida Liu; Adrian Barbu (IJCNN, 2020)

The Generalization-Stability Tradeoff In Neural Network Pruning. - Brian R. Bartoldson; Ari S. Morcos; Adrian Barbu; Gordon Erlebacher (NeurIPS, 2020)

Training Efficient Network Architecture and Weights via Direct Sparsity Control. - Yangzi Guo; Yiyuan She; Adrian Barbu (CoRR, 2020)

A study of local optima for learning feature interactions using neural networks. - Yangzi Guo; Adrian Barbu (CoRR, 2020)

Network Pruning via Annealing and Direct Sparsity Control. - Yangzi Guo; Yiyuan She; Adrian Barbu (IJCNN, 2021)

A Study of Local Optima for Learning Feature Interactions using Neural Networks. - Yangzi Guo; Ying Nian Wu; Adrian Barbu (IJCNN, 2021)

Predicting Lane Change Decision Making with Compact Support. - Hua Huang; Adrian Barbu (IV, 2021)

The Compact Support Neural Network. - Adrian Barbu; Hongyu Mou (Sensors, 2021)

Scalable Learning with Incremental Probabilistic PCA. - Boshi Wang; Adrian Barbu (IEEE Big Data, 2022)

A Study of Shape Modeling Against Noise. - Cheng Long 002; Adrian Barbu (ICIP, 2022)

Reliable Classification using Compact Support Probabilistic PCA. - Jason Zhang; Adrian Barbu (ICMLA, 2023)

Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers. - Yijia Zhou; Kyle A. Gallivan; Adrian Barbu (CoRR, 2023)

Feature Selection for Forecasting. - Hakan Pabuccu; Adrian Barbu (CoRR, 2023)

Slow Kill for Big Data Learning. - Yiyuan She; Jianhui Shen; Adrian Barbu (CoRR, 2023)

Training a Two-Layer ReLU Network Analytically. - Adrian Barbu (Sensors, 2023)

Slow Kill for Big Data Learning. - Yiyuan She; Jiahui Shen; Adrian Barbu (IEEE Trans. Inf. Theory, 2023)

Online Feature Screening for Data Streams With Concept Drift. - Mingyuan Wang 005; Adrian Barbu (IEEE Trans. Knowl. Data Eng., 2023)

PCA-UNET for Object Segmentation. - Cheng Long 002; Sayantika Nag; Adrian Barbu (ICIP, 2024)

Large-Scale Few-Shot Classification with Semi-supervised Hierarchical k-Probabilistic PCAs. - Ke Han; Adrian Barbu (IJCNN, 2024)

Latent Image and Video Resolution Prediction using Convolutional Neural Networks. - Rittwika Kansabanik; Adrian Barbu (CoRR, 2024)

Feature Selection for Latent Factor Models. - Rittwika Kansabanik; Adrian Barbu (CVPR, 2025)