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   Adrian Barbu

   Associate Professor, Department of Statistics, Florida State University.
  
   Research interests:
       - Computer Vision
       - Machine Learning
       - Medical Imaging


Research:

  1. Face Detection with a 3D Model. (arxiv)
  2. Feature Selection with Annealing - A generic method for feature selection and model learning that outperforms boosting and methods based on sparsity inducing penalties such as L1, SCAD, and MCP. (arxiv)
  3. Two-round EM - Theoretical guarantees for an EM algorithm for estimating mixtures of binary templates corrupted by Bernoulli noise.(arxiv)
  4. Artificial Prediction Markets - An online learning method inspired from economics that learns a model that minimizes the KL divergence to the distribution on the training examples, for classification and regression.
  5. Active Random Fields - A MRF based model trained together with a fast and suboptimal inference algorithm achieves thousands of times speedup without loss in accuracy.
  6. Marginal Space Learning - A learning-based optimization method that achieves many orders of magnitude speedup for object detection in large parameter spaces.
  7. Graph Partition by Swendsen-Wang Cuts - A fast stochastic graph partition algorithm. that samples a probability model using low level cues to speed up convergence.

Representative Publications

  1. A. Barbu, N. Lay, G.Gramajo. Face Detection with a 3D Model.(arxiv)
  2. J. Anaya, A. Barbu. RENOIR - A Benchmark Dataset for Real Noise Reduction Evaluation.(arxiv)
  3. A. Barbu, Y. She, L. Ding, G. Gramajo. Feature Selection with Annealing for Computer Vision and Big Data Learning. IEEE PAMI 2016. (arxiv, link)
  4. A. Barbu, L. Lu, H. Roth, A. Seff, R.M. Summers. An Analysis of Robust Cost Functions for CNN in Computer-Aided Diagnosis. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 2016. (pdf, link)
  5. L. Ding, A. Barbu. Scalable Subspace Clustering with Application to Motion Segmentation. Current Trends in Bayesian Methodology with Applications, Chapman & Hall/CRC Press. Editors: Dipak K. Dey, Umesh Singh and A. Loganathan. pp 267-286, 2015 (pdf)
  6. A. Barbu, T.F. Wu, Y. N. Wu. Learning Mixtures of Bernoulli Templates by Two-Round EM with Performance Guarantee. Electronic Journal of Statistics 8, No. 2, 3004–3030, 2014 (pdf, arxiv)
  7. A. Barbu, M. Pavlovskaia, S.C. Zhu. Rates for Inductive Learning of Compositional Models. AAAI Workshop Replearn 2013 (pdf)
  8. A. Barbu. Multi-Path Marginal Space Learning for Object Detection. Academic Press Library in Signal Processing: Volume 4: Image, Video Processing and Analysis, Hardware, Audio, Acoustic and Speech Processing. pp 271–291, 2013 (pdf)
  9. A. Barbu. Hierarchical Object Parsing from Structured Noisy Point Clouds. IEEE PAMI, 35, No. 7, 1649–1659, 2013. (pdf, arxiv, slides)
  10. L. Ding, A. Barbu, A. Meyer-Baese. Learning a Quality-Based Ranking for Feature Point Trajectories. ACCV 2012 (pdf)
  11. L. Ding, A. Barbu, A. Meyer-Baese. Motion Segmentation by Velocity Clustering with Estimation of Subspace Dimension. ACCV Workshop DTCE 2012 (pdf)
  12. A. Barbu, N. Lay. An Introduction to Artificial Prediction Markets for Classification. Journal of Machine Learning Research, 13, 2177–2204, 2012. (pdf)
  13. 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)
  14. 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)
  15. 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)
  16. A. Barbu. Training an Active Random Field for Real-Time Image Denoising. IEEE Trans. Image Processing, 18, November 2009. (pdf, ppt)
  17. 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)
  18. 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)
  19. 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)
  20. 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)
  21. A. Barbu, S.C. Zhu. Generalizing Swendsen-Wang for Image Analysis. J. Comp. Graph. Stat. 16, No 4, 2007 (pdf)
  22. A. Barbu, S.C. Zhu. Generalizing Swendsen-Wang to sampling arbitrary posterior probabilities, PAMI, 27, August 2005 (pdf)
  23. A. Barbu, S.C. Zhu. Multigrid and Multi-level Swendsen-Wang Cuts for Hierarchic Graph Partition, CVPR 2004 (pdf)

Awards:

  1. 2011 Thomas A. Edison Patent Award. System and Method for Segmenting Chambers of a Heart in a Three Dimensional Image. Patent No. 7,916,919. video

Funding:

  1. Learning Homogeneous Knowledge Representation from Heterogeneous Data for Quantitative and Qualitative Reasoning in Autonomy. DARPA, 130k, June 29, 2015- July 28, 2018. (PI on Subcontract from UCLA)
  2. A Novel Platform for Biological Information Integration and Knowledge Discovery, NSF, $70,000. July 1, 2014 June 30, 2015
  3. SEE on a Unified Foundation for Representation, Inference and Learning, DARPA, 231k (PI on subcontract from UCLA)
  4. MCS: Research on Detection and Classification of 2D and 3D Shapes in Cluttered Point Clouds. NSF, 400k (CO-PI)
  5. Statistical and Semantic Approaches for Object, Activity and Intent Recognition. ONR, 443k (CO-PI)
  6. Landmark Detection Using Discriminative Anatomical Network And Active Random Fields. Siemens, 31k (PI)
  7. Cooperative Systems: Task Allocation for Heterogeneous Agent Teams Via Stochastic Clustering Auctions. ARO, 16k (subcontract)

Invited Talks

  1. Artificial Intelligence and the Future of Humanity, CWT Solutions Group Meeting, Miami Beach, FL, February 2016.
  2. Face Detection with a 3D Model. UCLA, June 19, 2015
  3. Feature Selection with Annealing for Big Data Learning. Johns Hopkins University, October 28, 2014
  4. Feature Selection with Annealing for Regression and Classification. Temple University, October 15, 2014
  5. The Artificial Prediction Market, ICML Workshop on Markets, Mechanisms and Multi-Agent Models, Edinburgh, July 1st, 2012 (pdf)
  6. Hierarchical Object Parsing from Noisy Point Clouds, Siemens Corporate Research, August 16th, 2011
  7. Artificial Prediction Markets for Classification, Regression and Density Estimation, UCLA, August 11th, 2011
  8. Automatic Detection and Segmentation of Lymph Nodes. NIH, December 8th 2010
  9. Supervised Aggregation of Classifiers using Artificial Prediction Markets, SRCOS 2010 (pdf)
  10. Supervised Aggregation using Artificial Prediction Markets. UCLA, November 10th, 2009
  11. Marginal Space Learning for Fast Object Detection in Medical Imaging. Tutorial on Discriminative Learning Methods in Medical Imaging, MICCAI 2009
  12. Training an Active Random Field for Real-Time Image Denoising. Max Plank Institute, Saarbrucken, Germany, July 16th, 2008
  13. The Swendsen-Wang Cuts Algorithm with Applications in Computer Vision, Georgia Tech University, June 2008
  14. Active Random Fields for Real-Time Image Denoising, Siemens Corporate Research, May 2008
  15. Hierarchical Image-Motion Segmentation using Swendsen-Wang Cuts, Third Cape Cod MCMC Workshop , Harvard, 2007 (ppt)
  16. A General Clustering Sampling Method for Bayesian Inference, Joint Statistical Meetings, Minneapolis, August 10, 2005
  17. Swendsen-Wang for Perceptual Grouping. Second Cape Cod Workshop on Monte Carlo Methods, 2004

Patents:

  1. A. Barbu. Systems and Methods for Training an Active Random Field for Real-Time Image Denoising. Patent no 8,866,936
  2. A. Barbu, W. Zhang, N. Strobel, A. Galant, U. Bill, D. Comaniciu. Method and system for catheter detection and tracking in a fluoroscopic image sequence. Patent no 8,396,533
  3. A. Barbu, M. Suehling, X. Xu, D. Liu, S.K. Zhou, D. Comaniciu. Method and System for Automatic Detection and Segmentation of Axillary Lymph Nodes. Patent no 8,391,579
  4. W. Zhang, Y. Zhu, A. Barbu, R. Socher, S. Boehm, P. Durlak, D. Comaniciu. Methods and Apparatus for Virtual Coronary Mapping. Patent 8,355,550
  5. L. Lu, A. Barbu, M. Wolf, S. Lakare, L. Bogoni, M. Salganicoff, D. Comaniciu. Method and System for Polyp Segmentation for 3D Computed Tomography Colonography. Patent 8,184,888
  6. L. Lu, A. Barbu, M. Wolf, S. Lakare, L. Bogoni, M. Salganicoff, D. Comaniciu. User Interface for Polyp Annotation, Segmentation and Measurement in 3D Computed Tomography Colonography. Patent 8,126,244
  7. R. Socher, A. Barbu, B. Georgescu, W. Zhang, P. Durlak, S. Bohm, D. Comaniciu. Method and system for vessel segmentation in fluoroscopic images. Patent 8,121,367
  8. Y. Zhu, W. Zhang, A. Barbu, S. Prummer, M. Ostermeier, C. Reddy, D. Comaniciu. System and Method for Coronary Digital Subtraction Angiography. Patent 8,094,903
  9. W. Zhang, A. Barbu, S. Prummer, M. Ostermeier and D. Comaniciu. Method and System for Evaluating Image Segmentation Based on Visibility. Patent 8,086,006
  10. A. Barbu, L. Lu, L. Bogoni, M. Salganicoff, D. Comaniciu. Method and System for Detection and Registration of 3D Objects Using Incremental Parameter Learning. Patent 8,068,654
  11. A. Barbu, V. Athitsos, B. Georgescu, P. Durlak, D. Comaniciu. System and Method for Online Optimization of Guidewire Visibility in Fluoroscopic Systems. Patent 8,050,482
  12. A. Barbu, Y. Zheng, Y. Zhing, B. Georgescu, D. Comaniciu. System and Method for Detecting an Object in a High Dimensional Space. Patent 8,009,900
  13. B. Georgescu, P. Durlak, V. Athitsos, A. Barbu, D. Comaniciu. System and Method for Simultaneously Subsampling Fluoroscopic Images and Enhancing Guidewire Visibility. Patent 7,970,191
  14. W. Zhang, A. Barbu, S. Prummer, M. Ostermeier, C. Reddy, D. Comaniciu. System and Method for Coronary Digital Subtraction Angiography. Patent 7,940,971
  15. Y. Zheng, A. Barbu, B. Georgescu, M. Scheuering, D. Comaniciu. System and Method for Segmenting Chambers of a Heart in a Three Dimensional Image. Patent 7,916,919
  16. S.K. Zhou, J. Shao, J. Dowdall, A. Barbu, B. Georgescu, D. Comaniciu. System and Method for Using a Similarity Function to Perform Appearance Matching in Image Pairs. Patent 7,831,074
  17. A. Barbu, V. Athitsos, B. Georgescu, P. Durlak, S. Boehm, D. Comaniciu. System and Method for Detecting and Tracking a Guidewire In A Fluoroscopic Image Sequence. Patent 7,792,342
  18. A. Barbu, L. Lu, M. Wolf, L. Bogoni, M. Salganicoff. Interface Utilisateur pour une Annotation, une Segmentation et une Mesure de Polype en Colonoscopie Virtuelle 3D. Europe Patent WO/2009/042034
  19. A. Barbu, L. Bogoni, D. Comaniciu. System and Method For Detecting A Three Dimensional Flexible Tube In An Object. Patent 7,783,097
  20. Z. Tu, A. Barbu. Probabilistic Boosting Tree Framework for Learning Discriminative Models. Patent 7,702,596
  21. Z. Tu, X. Zhou, D. Comaniciu, L. Bogoni, A. Barbu. System and Method for Using Learned Discriminative Models to Segment Three dimensional Colon Image Data. Patent 7,583,831
  22. Z. Tu, A. Barbu, D. Comaniciu. Method for Detecting Polyps in a Three Dimensional Image Volume. Patent 7,558,413

Teaching:

Education:

    2000-2005: Ph.D. Computer Science,  University of California, Los Angeles
    1995-2000: Ph.D. Mathematics,           Ohio State University
    1990-1995: B.Sc. Mathematics,           University of Bucharest, Romania

My brother's homepage 
Weather in Tallahassee:
Click for Tallahassee, Florida ForecastIf you want to reach me, my address is:
Adrian Barbu
Department of Statistics
Florida State University
Tallahassee, FL 32306
phone:(850) 290-5202
E-mail: 1abarbu23@5stat.fsu.edu67 (remove all the numbers)