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M. I. Lourakis and R. Deriche, Camera self-calibration using the Kruppa equations and the SVD of the fundamental matrix: The case of varying intrinsic parameters, Research Report, vol.3911, 2000.
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G. Phillipson, P. and vertical disparity inuences stereo correspondence Read Global vertical disparity inuences stereo correspondence, Proceedings of 32nd of European Conference on Visual Perception. 52 DETAILED CURRICULUM VITAE Last Name: PAPADOPOULO First Name, 2009.

. Date, . Place, and . Birth, Soa (Bulgaria) Citizenship: French Sex: M Mailing address: Athena project team, 1966.

. Résidence, Les Oliviers

J. Kybic, co-supervised at 20% with Maureen Clerc and Olivier Faugeras, 2001.

S. Vallaghé, co-supervised at 30% with Maureen Clerc: EEG and MEG forward modeling: computation and calibration (defended at University of Nice, 2008.

E. Olivi, co-supervised at 50% with Maureen Clerc: Coupling BEM and FEM approaches for the MEG/EEG forward problem (started since, 2008.

A. Gramfort, co-supervised at 30% with Maureen Clerc and Olivier Faugeras: Using MEG/EEG inverse problems for retinotopy

D. Bondyfalat, co-supervised at 30% with Olivier Faugeras and Bernard Mourain: Interaction entre le symbolique et le numérique et son application à la vision articielle (defended at University of Nice, 2000.

C. Gauclin, co-supervised at 20% with Olivier Faugeras on the aspects of coupling of the estimations of the fundamental matrix and the stereo matching

P. Landreau, co-supervised at 50% with M. Clerc: Perrine obtained a young engineer position at INRIA and has worked for almost two years (20062007) on providing an interface module in Brainstorm

N. Debeissat, Viéville from the Odyssée project Nicolas had a young engineer position at INRIA (20062007) and has worked on providing various tools for the integration work-package (WP8) of the Facets project. He worked notably on providing a web platform for storing and managing the Facets results and on XML descriptions for neural network simulations

E. Olivi, co-supervised at 30% with M. Clerc and M. Yvinec during his period, 2007.

@. Scientic-expertise, Expertise for an ISF (Israelian Science Foundation) proposal. Expertise of an ANR Des project proposal. Participation to the technical selection committee for the purchase of the MEG machine in La Timone hospital in Marseille (third modern MEG machine installed in France acquired with INRIA's nancial help), 2008.

@. D. Ph, reviewing and jurys: Jury member for the Ph.D. thesis of A. J. Salgado de la Nuez entitled "Optical Flow and Disparity Maps Estimation using Variational Methods, 2010.

. @bullet-École-polytechnique, Practical classes in computer vision in, 1994.

M. O. Faugeras, Q. Luong, and T. Papadopoulo, C:20] COMPLETE LIST OF CONTRIBUTIONS http://www-sop.inria.fr/members/Theodore The Geometry of Multiple Images International journals [2] S. Vallaghé, T. Papadopoulo, A Trilinear Immersed Finite Element Method for Solving the Electroencephalography Forward Problem, SIAM Journal on Scientic Computing, vol.10321, issue.4, p.23792394, 2001.

A. Gramfort, T. Papadopoulo, E. Olivi, and M. Clerc, OpenMEEG: opensource software for quasistatic bioelectromagnetics, BioMedical Engineering OnLine, vol.9, issue.1, 2010.
DOI : 10.1186/1475-925X-9-45

URL : https://hal.archives-ouvertes.fr/inria-00467061

A. Gramfort, T. Papadopoulo, S. Baillet, and M. Clerc, Tracking cortical activity from M/EEG using graph cuts with spatiotemporal constraints, NeuroImage, vol.54, issue.3, 2010.
DOI : 10.1016/j.neuroimage.2010.09.087

URL : https://hal.archives-ouvertes.fr/inria-00526020

S. Vallaghé, T. Papadopoulo, and M. Clerc, The adjoint method for general EEG and MEG sensor-based lead eld equations, Physics in Medicine and Biology, vol.54, p.135147, 2009.

L. Alvarez, R. Deriche, T. Papadopoulo, and J. Sánchez, Symmetrical Dense Optical Flow Estimation with Occlusions Detection, International Journal of Computer Vision, vol.75, issue.3, p.371385, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00427151

J. Kybic, M. Clerc, O. Faugeras, R. Keriven, and T. Papadopoulo, Generalized head models for MEG/EEG: boundary element method beyond nested volumes, Physics in Medicine and Biology, vol.51, issue.5, pp.133313460031-9155, 2006.
DOI : 10.1088/0031-9155/51/5/021

J. Kybic, M. Clerc, O. Faugeras, R. Keriven, and T. Papadopoulo, Fast multipole acceleration of the MEG/EEG boundary element method, Physics in Medicine and Biology, vol.50, issue.19, p.46954710, 2005.
DOI : 10.1088/0031-9155/50/19/018

J. Kybic, M. Clerc, T. Abboud, O. Faugeras, R. Keriven et al., A common formalism for the Integral formulations of the forward EEG problem, IEEE Transactions on Medical Imaging, vol.24, issue.1, p.1228, 2005.
DOI : 10.1109/TMI.2004.837363

T. Perez, J. Papadopoulo, F. Pons, B. Ségonne, D. Thirion et al., Variational, geometric, and statistical methods for modeling brain anatomy and function , NeuroImage 23S1 Special issue: Mathematics in Brain Imaging, pp.46-55, 2004.

O. Faugeras and T. Papadopoulo, Grassmann-Cayley Algebra for Modeling Systems of Cameras and the Algebraic Equations of the Manifold of Trifocal Tensors , Transaction of the Royal society A 356, p.11231152, 1998.

]. R. Deriche and T. Papadopoulo, Le cerveau dans tous ses états, National journals, 2008.

]. T. Papadopoulo, S. Vallaghé, and M. Clerc, Book chapters Peer-reviewed international conferences with proceedings [14 The adjoint method for general EEG and MEG sensor-based lead eld equations, Proceedings of Biomag, 2010.

E. Olivi, M. Clerc, and T. Papadopoulo, Domain decomposition for coupling nite and boundary element methods in EEG, Proceedings of Biomag, 2010.

M. Clerc, A. Gramfort, E. Olivi, and T. Papadopoulo, The Symmetric BEM: Bringing in More Variables for Better Accuracy, Proceedings of Biomag, 2010.
DOI : 10.1007/978-3-642-12197-5_21

URL : https://hal.archives-ouvertes.fr/inria-00497081

S. Takerkart, R. Fenouil, J. Piovano, A. Reynaud, L. Hoffart et al., A quantication framework for postlesion neo-vascularization in retinal angiography, Proceedings of the International Symposium on Biomedical Imaging: From Nano to Macro, 2008.

J. Piovano and T. Papadopoulo, Global Region Segmentation based on Local Statis- tics, Proceedings of the 10th European Conference on Computer Vision, p.48649908, 2008.

M. Péchaud, R. Keriven, T. Papadopoulo, and J. Badier, Combinatorial Optimization for Electrode Labeling of EEG Caps, Lecture Notes in Computer Science, vol.4791, 2007.
DOI : 10.1007/978-3-540-75759-7_96

M. Péchaud, R. Keriven, T. Papadopoulo, and J. Badier, Automatic labeling of EEG electrodes using combinatorial optimization, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007.
DOI : 10.1109/IEMBS.2007.4353313

T. Papadopoulo and S. Vallaghé, Implicit Meshing for Finite Element Methods using Levelsets, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4409132

J. Kybic, O. Faugeras, M. Clerc, and T. Papadopoulo, Neural mass model parameter identication for MEG/EEG , in : Proceedings of SPIE Medical Imaging: Physiology, Function , and Structure from Medical Images, 2007.

C. Benar, T. Papadopoulo, and M. Clerc, Topography-Time-Frequency Atomic Decomposition for Event-Related M/EEG Signals, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, p.54615464, 2007.
DOI : 10.1109/IEMBS.2007.4353581

URL : https://hal.archives-ouvertes.fr/inserm-00189947

C. Bénar, M. Clerc, and T. Papadopoulo, Adaptive time-frequency models for singletrial M/EEG analysis , in : Information Processing in Medical Imaging, Lecture Notes in Computer Science, vol.4584, p.458469, 2007.

J. Ponce, K. Mchenry, T. Papadopoulo, M. Teillaud, and B. Triggs, On the Absolute Quadratic Complex and Its Application to Autocalibration, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.256

URL : https://hal.archives-ouvertes.fr/inria-00548505

M. Clerc, J. Badier, G. Adde, J. Kybic, and T. Papadopoulo, Boundary Element formulation for Electrical Impedance Tomography, ESAIM: Proceedings, 14, EDP Sciences, p.6371, 2005.
DOI : 10.1051/proc:2005006

M. Clerc, B. Atfeh, J. Leblond, L. Baratchart, J. Marmorat et al., The Cauchy problem applied to cortical imaging: comparison of a boundary element and a bounded extremal problem, 2005.

M. Clerc, G. Adde, J. Kybic, T. Papadopoulo, and J. Badier, In vivo conductivity estimation with symmetric boundary elements, International Journal of Bioelectromagnetism , J. Malmivuo, vol.7, issue.1, p.307310, 2005.

G. Adde, M. Clerc, O. Faugeras, R. Keriven, J. Kybic et al., Symmetric BEM Formulation for the M/EEG Forward Problem, Lecture Notes in Computer Science, vol.2732, p.524535, 2003.
DOI : 10.1007/978-3-540-45087-0_44

M. Clerc, R. Keriven, O. Faugeras, J. Kybic, and T. Papadopoulo, The fast multipole method for the direct E/MEG problem, Proceedings IEEE International Symposium on Biomedical Imaging, 2002.
DOI : 10.1109/ISBI.2002.1029438

M. Clerc, O. Faugeras, R. Keriven, J. Kybic, and T. Papadopoulo, A level set method for the inverse EEG/MEG problem, Proceedings of the 8th International Conference on Functional Mapping of the Human Brain, 2002.

M. Clerc, A. Dervieux, O. Faugeras, R. Keriven, J. Kybic et al., Comparison of BEM and FEM methods for the E/MEG problem, Proceedings of BIOMAG Conference, 2002.

L. Alvarez, R. Deriche, T. Papadopoulo, and J. Sànchez, Symmetrical Dense Optical Flow Estimation with Occlusion Detection, Proceedings of the 7th European Conference on Computer Vision SpringerVerlag, pp.721-735, 2002.
DOI : 10.1007/s11263-007-0041-4

D. Bondyfalat, T. Papadopoulo, and B. Mourrain, Using scene constraints during the calibration procedure, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, p.124130, 2001.
DOI : 10.1109/ICCV.2001.937613

C. Barthou, D. Bouvier, O. Faugeras, P. Kornprobst, R. Keriven et al., A level set method for the inverse EEG/MEG problem, Applied Inverse Problems: Theoretical and Computational Aspects, p.127, 2001.

T. Papadopoulo and M. Lourakis, Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications, Proc. of the 6th European Conference on Computer Vision, 2000.
DOI : 10.1007/3-540-45054-8_36

URL : https://hal.archives-ouvertes.fr/inria-00072686

D. Bondyfalat, B. Mourrain, and T. Papadopoulo, An Application of Automatic Theorem Proving in Computer Vision, 1999.
DOI : 10.1007/3-540-47997-X_11

T. Papadopoulo and O. Faugeras, A new characterization of the trifocal tensor, Proceedings of the 5th European Conference on Computer Vision Lecture Notes in Computer Science, 14061407, SpringerVerlag, 1998.
DOI : 10.1007/BFb0055662

O. Faugeras and T. Papadopoulo, A nonlinear method for estimating the projective geometry of three views, Proceedings of the 6th International Conference on Computer Vision, p.477484, 1998.
URL : https://hal.archives-ouvertes.fr/inria-00073468

A. Gramfort, T. Papadopoulo, B. Cottereau, S. Baillet, and M. Clerc, Tracking cortical activity with spatio-temporal constraints using graph-cuts, Peer-reviewed international conferences, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00336887

T. Papadopoulo, S. Vallaghé, and M. Clerc, Implicit Meshes for MEG/EEG Forward Problem with 3D Finite Element Method, Proceedings of the Biomag conference, 2006.

C. Bénar, T. Papadopoulo, and M. Clerc, Topography-Time-Frequency models for single-event M/EEG analysis, Proceedings of Biomag, 2006.

C. Bénar, T. Papadopoulo, and M. Clerc, Time-frequency-topography adaptive templates for single-trial MEG/EEG analysis, Proceedings of HBM, 2006.

C. Gauclin and T. Papadopoulo, Estimation de la matrice fondamentale par corrélation dense , in : 12ème Congrès Francophone AFRIF-AFIA -RFIA'2000: Reconnaissance des formes et Intelligence Articielle, 2000.

M. Clerc and T. Papadopoulo, Inverse problems in functional brain imaging , Lecture notes of the MVA course of the same name

Q. Luong, R. Deriche, O. Faugeras, and T. Papadopoulo, On determining the Fundamental matrix: analysis of dierent methods and experimental results, Israelian Conf. on Articial Intelligence and Computer Vision, 1993.

G. Openmeeg, M. Adde, A. Clerc, R. Gramfort, J. Keriven et al., Technology development : software or other realization, 2007.

S. Biblio-tool, T. Laveau, A. Papadopoulo, and . Pastorino, Robotvis library, Robotvis team, 1995.