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Gustavo Carneiro
Assistant Professor
Technical University of Lisbon
Electrical and Computer Engineering Department
Instituto Superior Tecnico - Instituto For Systems and Robotics
Within the Carnegie Mellon University - Portugal Program
gcarneiro @ i s r . i s t . u t l . p t
web page:http://omni.isr.ist.utl.pt/~gcarneiro

EDUCATION

1999-2004	Ph.D.	Computer Science	University of Toronto - Canada
1997-1999	M.S.	Computer Science	Military Institute of Engineering - Brazil
1992-1997	B.S.	Computer Science	Federal University of Rio de Janeiro - Brazil

PROFESSIONAL EXPERIENCE

2008-Present	Visiting Assistant Professor. Technical University of Lisbon - Carnegie Mellon University - Portugal Program, Lisbon, Portugal.
2006-2008	Research Scientist. Siemens Corporate Research, Princeton, NJ, USA.
2004-2005	Post-doctoral Fellow. University of British Columbia, Canada. Work with Prof. David Lowe.
2004	Post-doctoral Fellow. University of California San Diego, USA. Work with Prof. Nuno Vasconcelos.
1999-2004	Research Assistant. University of Toronto, Canada. Object recognition using phase-based local features. Supervisor: Prof. Allan Jepson.
Summer 2002	Summer Research Intern. HP Cambridge Research Laboratory, Cambridge, MA, USA. Minimum bayes error feature extraction. Work with Dr. Nuno Vasconcelos.
Summer 2001	Summer Research Intern. Compaq Cambridge Research Laboratory, Cambridge, MA, USA. The role of independence on visual recognition. Work with Dr. Nuno Vasconcelos.
1999	Research Assistant. CONTROLAB, Federal University of Rio de Janeiro, Brazil. Development of an autonomous guided vehicle. Work with Dr. Eliana Aude.
1997-1999	Research Assistant. CONTROLAB, Federal University of Rio de Janeiro, Brazil. Implementation of the computational vision system for the AGV and Implementation of a tele-robotics system. Work with Dr. Eliana Aude.
1996-1997	Lotus Notes Consultant. MPL Consulting, Brazil.
1995-1996	Director. Undergrad Consulting Company, Federal University of Rio de Janeiro, Brazil. Volunteer job.
1993-1996	Undergrad Research Assistant. CONTROLAB, Federal University of Rio de Janeiro, Brazil. Development of several robotics system. Work with Dr. Eliana Aude.

TEACHING EXPERIENCE

2008-Present	Instructor, Technical University of Lisbon. Courses:
	Signal Processing (Fall 2008)

	Control (Fall 2008)
	Robotics (Spring 2009)
	Modelling and Simulation (Spring 2009)
	Signals and Systems (Fall 2009)
2004	Instructor, University of Toronto. Course:
	CSC 324 - Principles of Programming Languages
1999-2004	Teaching Assistant,University of Toronto. Courses:
	CSC 446, Computer Methods for Partial Differential Equations (graduate level course).
	CSC 418, Computer Graphics (graduate level course). 5 terms.
	CSC 458, Computer Networks (graduate level course).
	CSC 258, Computer Organization. 2 terms.
	CSC 260, An Introduction to Scientific, Symbolic, and Graphical Computation.
	SCI 199, Computer and Images. 2 terms.

ACADEMIC ACTIVITIES

2002-Present

Program Committee member for the Canadian Conference on Computer and Robot Vision (CRV). Reviewer for the journals IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Image Processing (TIP), Computer Vision and Image Understanding (CVIU), Signal Processing, Pattern Recognition, Pattern Recognition Letters, Image and Vision Computing, International Journal of Computers and Applications, IEEE Transactions on Systems, Man and cybernetics, Part B, EURASIP Journal on Advances in signal Processing, and IEEE Transactions on Circuits and Systems for Video Technology. Reviewer for the conferences International Conference on Computer Vision (ICCV), IEEE Computer Vision and Pattern Recogniton (CVPR), European Conference on Computer Vision (ECCV), Neural Information Processing Systems (NIPS), International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), International Conference on Computer Vision Theory and Applications (VISAPP), International Conferecence on Pattern Recognition, IEEE Workshop on Applications of Computer Vision (WACV), IEEE Information Theory Workshop (ITW), International Conference on Image and Signal Processing (ICISP), Mexican International Conference on Artificial Intelligence (MICAI). Auxiliary reviewer for Syntactical and Structural Pattern Recognition (SSPR)

HONORS AND AWARDS

2010-2012	Marie Curie International Incoming Fellowship, Instituto Superior Tecnico, Technical University of Lisbon, Portugal.
2010-2012	FCT (Portuguese Science Foundation) Research Grant - Project PRINTART, Instituto Superior Tecnico, Technical University of Lisbon, Portugal.
2010-2012	FCT (Portuguese Science Foundation) Research Grant - Project HEARTTRACK, Instituto Superior Tecnico, Technical University of Lisbon, Portugal.
2010	Outstanding Reviewer Award, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2010.
2008	Outstanding Achievement Award, Siemens Corporate Research, Princeton, NJ, USA.
2004-2006	NSERC Post-doctoral Fellowship, University of British Columbia. Canada.
2004-2006	Top-up award, University of British Columbia, Canada.
2004	Post-doctoral Fellowship, University of California San Diego. USA.
2003-2004	Ontario Graduate Scholarship (OGS), Canada.
2003	Top-up award, University of Toronto, Canada.
1999-2003	Open Fellowship, University of Toronto, Canada.
1999	Research Fellowship. CNPq - Brazilian Research Council, Brazil.
1997-1999	M.S. Scholarship. CAPES - Brazilian Ministry of Education, Brazil.
1993-1997	Undergrad Research Assistantship. CNPq - Brazilian Research Council, Brazil.
1999	Student Member of IEEE Computer Society

PUBLICATIONS

Refereed Journals

Gustavo Carneiro, and Allan Jepson. The Quantitative Characterization of the Distinctiveness and Robustness of Local Image Descriptors Image and Vision Computing. 27(8):1143-1156. 2009.

Gustavo Carneiro and Nuno Vasconcelos. Minimum Bayes Error Features for Visual Recognition. Image and Vision Computing. 27(1-2):131-140. 2009.

I. Zalud, S. Good, G. Carneiro, B. Georgescu, K. Aoki, L. Green, F. Shahrestani, R. Okumura. Fetal Biometry: A comparison Between Experienced Sonopgraphers and Automated Measures. Journal of Maternal-Fetal and Neonatal Medicine. 22(1):43-50. 2009.

Gustavo Carneiro, Bogdan Georgescu, Sara Good, and Dorin Comaniciu. Detection of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree. IEEE Transactions on Medical Imaging. 27(9):1342-1355. 2008.

Gustavo Carneiro and Allan Jepson. Flexible Spatial Configuration of Local Image Features. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(12):2089-2104. 2007.

G. Carneiro, A. B. Chan P. J. Moreno, and N. Vasconcelos. Supervised Learning of Semantic Classes for Image Annotation and Retrieval.IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(3): 394-410. 2007.

Refereed Conferences

Gustavo Carneiro. The Automatic Design of Feature Spaces for Local Image Descriptors using an Ensemble of Non-linear Feature Extractors. Oral presentation at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). San Francisco, USA. 2010.

Gustavo Carneiro and Jacinto Nascimento. Multiple Dynamic Models for Tracking the Left Ventricle of the Heart from Ultrasound Data using Paricle Filters and Deep Learning Architectures. Poster presentation at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). San Francisco, USA. 2010.

Gustavo Carneiro. A Comparison Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors. Accepted for ORAL presentation at the International Conference on Pattern Recognition (ICPR). Istanbul, Turkey. 2010.

Gustavo Carneiro and Jacinto Nascimento. The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking. Accepted for ORAL presentation at the International Conference on Pattern Recognition (ICPR). Istanbul, Turkey. 2010.

Gustavo Carneiro and Jacinto Nascimento. Robust Left Ventricle Segmentation from Ultrasound Data Using Deep Neural Networks and Efficient Search Methods Proceedinsg of the IEEE International Symposium on Biomedical Imaging (ISBI). Rotterdam, the Netherlands. 2010.

Jacinto Nascimento and Gustavo Carneiro. Efficient Search Methods and Deep Belief Networks with Particle Filtering for Non-rigid Tracking: Application to Lip Tracking. Proceedinsg of the International Conference on Image Processing (ICIP). Hong Kong. 2010.

Michael Wels, Yefeng Zheng, Gustavo Carneiro, Martin Huber, Joachim Hornegger, and Dorin Comaniciu. Fast ad Robust 3-D MRI Brain Structure Segmentation. Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). London, UK. 2009.

Gustavo Carneiro and Jacinto Nascimento. Detection of the Left Ventricle of the Heart in Ultrasound Images using Deep Neural Networks. Proceedings of the Portuguese Conference on Pattern Recognition (RecPad). Aveiro, Portugal. 2009.

Michael Wels, Gustavo Carneiro, Alexander Aplas, Martin Huber, Joachim Hornegger, and Dorin Comaniciu. A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI Proceedings of the International Conference on Medical Image computing and Computer Assisted Intervention (MICCAI). New York City, NY, USA. 2008

Gustavo Carneiro, Fernando Amat, Bogdan Georgescu, Sara Good, and Dorin Comaniciu. Semantic-based Indexing of Fetal Anatomies from 3-D Ultrasound Data using Global/Semi-local Context and Sequential Sampling. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Anchorage, Alaska, USA. 2008

Gustavo Carneiro, Bogdan Georgescu, Sara Good, and Dorin Comaniciu. Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree. Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Brisbane, Australia. 2007.

S. Kevin Zhou, Feng Guo, Jim Park, Gustavo Carneiro, and Dorin Comaniciu. A Probabilistic, Hierarchical, and Discriminant Framework for Rapid and Accurate Detection of Deformable Anatomic Structure. Proceedings of the International Conference on Computer Vision (ICCV). Rio de Janeiro, Brazil. 2007.

Gustavo Carneiro and David Lowe. Sparse Flexible Models of Local Features. European Conference on Computer Vision (ECCV). Graz, Austria. 2006.

Manuela Vasconcelos, Gustavo Carneiro, and Nuno Vasconcelos. Weakly Supervised Top-down Image Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). New York City, NY, USA. 2006.

Gustavo Carneiro and Nuno Vasconcelos. A Database Centric View of Semantic Image Annotation and Retrieval. ACM Conference on Research and Development in Information Retrieval (ACM SIGIR). Salvador, Brazil. 2005.

Gustavo Carneiro and Allan D.Jepson. The Distinctiveness, Detectability, and Robustness of Local Image Features. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). San Diego, CA, USA. 2005.

Gustavo Carneiro and Nuno Vasconcelos. Formulating Semantic Image Annotation as a Supervised Learning Problem. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). San Diego, CA, USA. 2005.

Gustavo Carneiro and Nuno Vasconcelos. Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection ad Extraction. Canadian Conference on Computer and Robot Vision (CRV). Victoria, BC, Canada. 2005.

Gustavo Carneiro and Allan D. Jepson. Pruning Local Feature Correspondences Using Shape Context. Proceedings of the IEEE International Conference on Pattern Recognition (ICPR). Cambridge, UK. 2004.

Gustavo Carneiro and Allan D. Jepson. Flexible Spatial Models for Grouping Local Image Features. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Washington, DC, USA. 2004.

Gustavo Carneiro and Allan D. Jepson. Multi-scale Local Phase-based Features. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Madison, WI, USA. 2003.

Gustavo Carneiro and Allan D. Jepson. Local Phase-based Features. Proceedings of the European Conference on Computer Vision (ECCV). Copenhagen, Denmark. 2002.

Nuno Vasconcelos and Gustavo Carneiro. What is the Role of Independence for Visual Recognition. Proceedings of the European Conference on Computer Vision. Copenhagen (ECCV). Copenhagen, Denmark. 2002.

Gustavo Carneiro, Eliana Aude, Henrique Serdeira, Julio Silveira, Mario Martins, Ernesto Lopes. An Internet Request Server Architecture for Telecommanding the CONTROLAB AGV through Real Time Data and Image. Proceedings of the 42nd Midwest Symposium on Circuits and Systems. Las Cruces, New Mexico. USA. 1999.

Eliana Aude, Gustavo Carneiro, Henrique Serdeira, Julio Silveira, Mario Martins, Ernesto Lopes. CONTROLAB MUFA: A Multilevel Fusion Architecture for Intelligent Navigation of a Telerobot. Proceedings of the International Conference on Robotics and Automation (ICRA). Detroit - Michigan. 1999.

Eliana Aude, Gustavo Carneiro, Henrique Serdeira, Julio Silveira, Mario Martins, Ernesto Lopes. Integration of Intelligent Systems and Sensor Fusion within the CONTROLAB AGV.Proceedings of the SPIE Intenational Symposium on Intelligent Systems and Advanced Manufacturing. Program on Mobile Robots and Autonomous Systems. Boston, Massachusetts. 1999.

Claudio Mello,Gustavo Carneiro,Paulo Gondim. Setting up a MBone Node for Distance Learning Purposes. Proceedings of the International Conference on Engineering Education. (ICEE). Rio de Janeiro, RJ, Brazil. 1998.

Technical Report

Gustavo Carneiro and Allan D. Jepson. Object Recognition Using Flexible Groups of Local Features University of Toronto. Department of Computer Science. CSRG-481. January 2004

Nuno Vasconcelos and Gustavo Carneiro. What is the Role of Independence for Visual Recognition? Cambridge Research Laboratory. Cambridge, MA, USA. 2002

Gustavo Carneiro, Eliana Aude, Henrique Serdeira, Julio Silveira, Mario Martins, Ernesto Lopes. An Internet Request Server Architecture for Telecommanding the CONTROLAB AGV through Real Time Data and Image. CONTROLAB. Federal University of Rio de Janeiro, Brazil. 1999.

Eliana Aude, Gustavo Carneiro, Henrique Serdeira, Julio Silveira, Mario Martins, Ernesto Lopes. CONTROLAB MUFA: A Multilevel Fusion Architecture for Intelligent Navigation of a Telerobot. CONTROLAB. Federal University of Rio de Janeiro, Brazil. 1999

Claudio Mello, Gustavo Carneiro, Paulo Gondim. Implantacao de um no mbone no IME. Military Institute of Engineering, Brazil. 1998.

Patents

Michael Wels, Gustavo Carneiro, Martin Huber, Dorin Comaniciu, Yefeng Zheng. Method and System for Segmentation of Brain Structures in 3D Magnetic Resonance Images.. Patent application filed with the U.S. Patent Office in September, 2009.

Michael Wels, Gustavo Carneiro, Martin Huber, Dorin Comaniciu.Method and System for Brain Tumor Segmentation in 3D Magnetic Resonance Images.. Patent application filed with the U.S. Patent Office in September, 2009.

Gustavo Carneiro, Fernando Amat, Bogdan Georgescu, Sara Good, and Dorin Comaniciu.Automated Fetal Measurements from Three-dimensional Ultrasound Data.. US Patent Application number 20090093717.

Dorin Comaniciu, Shaohua Kevin Zhou, Feng Guo, Jin-Hyeong Park, Gustavo Carneiro, Constantine Simpoulos, Joanne Otsuki, and John Jackson.Method and System for Detection of Deformable Structures in Medical Images.. US Patent Application number 20090010509.

Gustavo Carneiro, Bogdan Georgescu, Sara Good, and Dorin Comaniciu.System and Method for Detection of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree.. US Patent Application number 20080240532.

Gustavo Carneiro, Sara Good, Bogdan Georgescu, Paolo Favaro, and Dorin Comaniciu.System and Method for Fetal Biometric Measurements from Ultrasound Data and Fusion of same for Estimation of Fetal Gestational Age.. US Patent Application number 20070081705.

Ph.D. Dissertation

Gustavo Carneiro. Image Pattern Recognition Using Phase-based Local Features and Their Flexible Spatial Configuration. Ph.D. Thesis. University of Toronto, Department of Computer Science.2004. Thesis defended on Aug. 18, 2004.

M.S. Dissertation

Gustavo Carneiro. Tratamento de Comandos Remotos e Processamento de Visão para Navegação de Veículos Autônomos em Tempo Real. Msc. Thesis. Military Institute of Engineering. 1999. Thesis defended on Feb. 22th, 1999.

PRESENTATIONS

The Automatic Design of Feature Spaces for Local Image Descriptors using an Ensemble of Non-linear Feature Extractors.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR). San Francisco, CA, USA, June, 2010.
Invited Talk at the University of Porto, Porto, Portugal. May, 2010.

Multiple Dynamic Models for Tracking the Left Ventricle of the Heart from Ultrasound Data using Particle Filters and Deep Learning Architectures.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR). San Francisco, CA, USA, June, 2010.

Robust Left Ventricle Segmentation from Ultrasound Data Using Deep Neural Networks and Efficient Search Methods.

International Symposium on Biomedical Imaging (ISBI). Rotterdam, the Netherlands. April, 2010.

Database-guided Segmentation of Fetal Anatomies from 2-D/3-D Ultrasound Data using Sequential Sampling.

Invited Talk at the University of Porto, Porto, Portugal. May, 2009.

Tutorial on Robust Image Features (within full-day tutorial "Survey & Recent Advances in Image Registration & Fusion")

IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Anchorage, AK, USA. June, 2008.

Semantic-based Indexing of Fetal Anatomies from 3-D Ultrasound Data Using Global/Semi-local context and Sequential Sampling.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Anchorage, AK, USA. June, 2008.

A Probabilistic, Hierarchical, and Discriminant Framework for Rapid and Accurate Detection of Deformable Anatomic Structure.

Internation Conference on Computer Vision (ICCV). Rio de Janeiro, Brazil. October, 2007.

Weakly Supervised Top-down Image Segmentation.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR). New York, NY, USA. June, 2006.

Sparse Flexible Models of Local Features.

European Conference on Computer Vision (ECCV). Graz, Austria. May, 2006.

Image Pattern Recognition Using Phase-based Local Features and Their Flexible Spatial Configuration.

Laboratory for Computational Intelligence Forum. Department of Computer Science, University of British Columbia. Vancouver, BC, Canada. February, 2005.

Pruning Local Feature Correspondences Using Shape Context.

International Conference on Pattern Recognition (ICPR). Cambridge, UK. August, 2004.

Flexible Spatial Models for Grouping Local Image Features.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Washington DC, USA. June, 2004.
Montreal-Toronto Computer Vision Workshop. McGill University. Toronto, ON, Canada. May, 2004.
Alumni Reception. Department of Computer Science. University of Toronto. Toronto, ON, Canada. May,2004.

Multi-scale Local Phase-based Features.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Madison, WI, USA. June, 2003.
Montreal-Toronto Computer Vision Workshop. McGill University. Montreal, QC, Canada. May, 2003.
Vision Group. Department of Computer Science, University of Toronto. Toronto, ON, Canada. Nov, 2002.

Local Phase-based Features.

European Conference on Computer Vision (ECCV). Copenhagen, Denmark. May, 2002.
Tech Talk at HP Cambridge Research Laboratory. Cambridge, MA, USA. July, 2002.

Computer Vision and PDEs.

Department of Mathmatics, University of Toronto. Toronto, ON, Canada. Apr, 2003.

Minimum Bayes Error Feature Extraction.

Tech Talk at HP Cambridge Research Laboratory. Cambridge, MA, USA. Sep, 2002.

What is the Role of Independence for Visual Recognition?

Tech Talk at Compaq Cambridge Research Laboratory. Cambridge, MA, USA. Aug, 2001.

M.Sc. Thesis Defense

Military Institute of Engineering. Rio De Janeiro, RJ, Brazil. Feb, 1999.

Undergrad Research Paper Defense

Federal University of Rio de Janeiro. Rio De Janeiro, RJ, Brazil. Dec, 1996.