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Journal Publications

  1. A. Barbu, Y. N. Wu, S.C. Zhu. Learning Mixtures of Bernoulli Templates by Two-Round EM with Performance Guarantee.(arxiv)
  2. A. Barbu. Multi-Path Marginal Space Learning for Object Detection. Submitted. (pdf)
  3. E. Coyle, R. Roberts, E. Collins, A. Barbu. Point Cloud Interpolation for Pattern Classification Problems. Submitted.
  4. A. Barbu. Hierarchical Object Parsing from Structured Noisy Point Clouds. IEEE PAMI, 35, No. 7, 1649–1659, 2013. (pdf, arxiv, slides)
  5. K. Zhang, E. Collins, A. Barbu. An Efficient Stochastic Clustering Auction for Heterogeneous Robotic Collaborative Teams. To appear in Journal of Intelligent and Robotic Systems. (pdf)
  6. A. Barbu, N. Lay. An Introduction to Artificial Prediction Markets for Classification. Journal of Machine Learning Research, 13, 2177–2204, 2012. (pdf)
  7. A. Barbu, M. Suehling, X. Xu, D. Liu, S. K. Zhou, D. Comaniciu. Automatic Detection and Segmentation of Lymph Nodes from CT Data. IEEE Trans Medical Imaging, 31, No. 2, 240–250, 2012.(pdf)
  8. F. Bunea, A. Tsybakov, M. Wegkamp and A.Barbu. SPADES and mixture models. Annals of Statistics 38, No. 4, 2525–2558, 2010. (pdf)
  9. F. Bunea and A.Barbu. Dimension reduction and variable selection in case control studies via regularized likelihood optimization. Electronic Journal of Statistics, 3, 2009. (pdf)
  10. A. Barbu. Training an Active Random Field for Real-Time Image Denoising. IEEE Trans. Image Processing, 18, November 2009. (pdf)
  11. Y. Zheng, A. Barbu, B. Georgescu, M. Scheuering and D. Comaniciu. Four-Chamber Heart Modeling and Automatic Segmentation
    for 3D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features. IEEE Trans Medical Imaging, November 2008. (pdf)
  12. A. Barbu, S.C. Zhu. Generalizing Swendsen-Wang for Image Analysis. J. Comp. Graph. Stat. 16, No 4, 2007 (pdf)
  13. A. Barbu, S.C. Zhu. Generalizing Swendsen-Wang to sampling arbitrary posterior probabilities, PAMI, 27, August 2005 (pdf)
  14. C.V. Ciobanu, A. Barbu, R.M. Briggs. Interactions of carbon atoms and dimer vacancies on the Si(001) surface.
    Journal of Engineering Materials and Technology -ASME 127, 462 (2005) (pdf) 
  15. A. Barbu. On the range of non-vanishing p-torsion cohomology for GLn(Fp), Journal of Algebra, 278, pp 456-472, August 2004 (pdf, link)
  16. A. Barbu. On a conjecture of Ash, Journal of Algebra, 251, pp 178-184, May 2002 (pdf, link)
  17. A. Barbu. The ring generated by the elements of degree 2 in H*(Un(Fp),Z ), Journal of Algebra, 237, pp 247-261, March 2001 (pdf, link)
  18. Cluster sampling and its application to segmentation, stereo and motion (PhD thesis, UCLA 2005) (pdf)
  19. On the cohomology of GLn(Fp) with Fp coefficients (PhD thesis, OSU 2000) (pdf)

Conference Publications

  1. A. Barbu, M. Pavlovskaia, S.C. Zhu. Rates for Inductive Learning of Compositional Models. (pdf)
  2. L. Ding, A. Barbu, A. Meyer-Baese. Learning a Quality-Based Ranking for Feature Point Trajectories. ACCV 2012 (pdf)
  3. L. Ding, A. Barbu, A. Meyer-Baese. Motion Segmentation by Velocity Clustering with Estimation of Subspace Dimension. ACCV Workshop DTCE 2012 (pdf)
  4. K. Zhang, E. Collins, A. Barbu. An Efficient Stochastic Clustering Auction for Heterogeneous Robot Teams. Int. Conf. on Robotics and Automation (ICRA) 2012. (pdf)
  5. W. Wu, T. Chen, A. Barbu, P. Wang, N. Strobel, S. Zhou, D. Comaniciu. Learning-based Hypothesis Fusion for Robust Catheter Tracking in 2D X-ray Fluoroscopy. CVPR 2011 (pdf)
  6. K. Zhang, E. Collins, A. Barbu. A Novel Stochastic Clustering Auction for Task Allocation in Multi-Robot Teams. IROS 2010. (pdf)
  7. A. Barbu, M. Suehling, X. Xu, D. Liu, S. K. Zhou, D. Comaniciu. Automatic Detection and Segmentation of Axillary Lymph Nodes. MICCAI 2010. (pdf)
  8. N. Lay, A. Barbu. Supervised Aggregation of Classifiers using Artificial Prediction Markets. ICML 2010 (pdf)
  9. A. Barbu. Learning Real-Time MRF Inference for Image Denoising. CVPR 2009 (pdf)
  10. A. Barbu, R. Ionasec. Boosting Cross-Modality Image Registration. URBAN 2009 (pdf)
  11. S. Seifert, A. Barbu, S. Zhou, D. Liu, J. Feulner, M. Huber, M. Suehling, A. Cavallaro, D. Comaniciu. 
    Hierarchical parsing and semantic navigation of full body CT data. SPIE Medical Imaging, 2009 (pdf)
  12. L. Lu, A. Barbu, J. Liang, L. Bogoni, M. Salganicoff and D. Comaniciu. Simultaneous Detection and Registration
    for Ileo-Cecal Valve Detection in 3D CT Colonography. ECCV 2008 (pdf)
  13. L. Lu, A. Barbu, M. Wolf, J. Liang, M. Salganicoff, D. Comaniciu. Accurate Polyp Segmentation for 3D
    CT Colonography Using Multi-Staged Probabilistic Binary Learning and Compositional Model. CVPR 2008.(pdf)
  14. R. Socher, A. Barbu, D. Comaniciu. A Learning Based Hierarchical Model for Vessel Segmentation. 
    IEEE International Symposium on Biomedical Imaging, 2008. (pdf)
  15. Y. Zheng, B. Georgescu, A. Barbu, M. Scheuering and D. Comaniciu. Four-Chamber Heart Modeling and
    Automatic Segmentation for 3D Cardiac CT Volumes, SPIE Medical Imaging, 2008.
  16. Y. Zheng, A. Barbu, B. Georgescu, M. Scheuering, D. Comaniciu. Fast Automatic Heart Chamber Segmentation
    from 3D CT Data Using Marginal Space Learning and Steerable Features. ICCV 2007 (pdf)
  17. S Lakare, M Wolf, L Bogoni, A. Barbu, M Dundar, L Lu, M Salganicoff, Evaluation of a Learning-based
    Component for Suppression of False Positives Located on the Ileo Cecal Valve or Rectal Tube, RSNA 2007
  18. A. Barbu, V. Athitsos, B. Georgescu, S. Boehm, P. Durlak, D. Comaniciu. Hierarchical Learning of Curves:
    Application to Guidewire Localization in Fluoroscopy. CVPR 2007 (pdf)
  19. S. Lakare, A. Barbu, M. Dundar, M. Wolf, L. Bogoni, D. Comaniciu. Learning-based Component for
    Suppression Rectal Tube False Positives: Evaluation of Performance on 780 CTC Cases, RSNA 2006 (ppt)
  20. A. Barbu, L. Bogoni, D. Comaniciu. Hierarchical Part-Based Detection of 3D flexible tubes:Application to
    CT Colonoscopy, MICCAI 2006 (pdf)
  21. Z. Tu, X.S. Zhou, A. Barbu, L. Bogoni, D. Comaniciu. Probabilistic 3D Polyp Detection in CT Images: The
    Role of Sample Alignment, CVPR 2006 (pdf)
  22. A. Barbu, S.C. Zhu. Incorporating visual knowledge representation in stereo reconstruction,  ICCV 2005 (pdf)
  23. A. Barbu, S.C. Zhu. Multigrid and Multi-level Swendsen-Wang Cuts for Hierarchic Graph Partition, CVPR 2004 (pdf)
  24. A. Barbu, A.L. Yuille. Motion Estimation by Swendsen-Wang Cuts, CVPR 2004 (pdf)
  25. A. Barbu, S.C. Zhu. On the relationship between image and motion segmentation, SCVMA workshop, ECCV 2004 (pdf)
  26. A. Barbu, S.C. Zhu. Graph Partition By Swendsen-Wang Cuts, ICCV 2003  (pdf)