2009
J. Gonzalez-Mora,
F. De la Torre, N. Guil, E. Zapata .
Learning 3D
Generic Face Models from Images
Submitted
to Image and Vision Computing
F. Zhou, F. De la
Torre and J. Hodgins.
Hierarchical
Aligned Cluster Analysis (HACA) for Temporal Segmentation of Human Motion.
Submitted
to IEEE Pattern Analysis and Machine Intelligence
F. De la Torre, A.
Collet, J. F. Cohn and T. Kanade
Filtered Component Analysis to Increase Robustness to Local
Minima in Appearance Models.
Submitted to Computer Vision and Image Understanding.
F. De la Torre
A Least Squares Framework for
Component Analysis.
Submitted to IEEE Pattern Analysis and
Machine Intelligence.
M. H. Nguyen and
F. De la Torre
Optimal
Feature Selection for Support Vector Machines.
Accepted for publication in Pattern
Recognition.
M. H. Nguyen and
F. De la Torre
Metric Learning for Image Alignment.
Accepted for publication in International
Journal of Computer Vision.
F. Zhou and F. De
la Torre
Canonical Time Warping for Alignment of Human Behavior.
Accepted for publication in Neural
Information Processing Systems, 2010.
Y. Zhu, F. De la
Torre and J. Cohn
Dynamic Cascades
with Bidirectional Bootstrapping for Spontaneous Facial Action Unit Detection.
Affective Computing and Intelligent
Interaction. September 2009. Amsterdam.
A. Ryan, J. F. Cohn, S. Lucey, J. Saragih, P. Lucey, F. De la Torre,
and A. Rossi.
Automated Facial Expression
Recognition System.
Proceedings of the IEEE International
Carnahan Conference on Security Technology. October 2009. Zurich
F. De la Torre
A Unification of Component Analysis Methods.
Handbook of Pattern Recognition and
Computer Vision, 4th edition. World Scientific Publishing Co.
October 2009.
J. F. Cohn, T. Simon, I. Matthews, Y. Yang, M. H. Nguyen, M. Tejera, F.
Zhou and F. De la Torre.
Detecting Depression from Facial Actions and Vocal
Prosody.
Affective Computing and Intelligent
Interaction. September 2009. Amsterdam.
G. Roig, X. Boix and F. De la Torre
Optimal
Feature Selection for Subspace Image Matching.
2nd IEEE International Workshop on Subspace
Methods.
September 27, 2009, in conjunction with
ICCV2009, Kyoto, Japan.
N. Brunet, F.
Perez and F. De la Torre
Learning Good Features for Active Shape Models.
2nd IEEE International Workshop on Subspace
Methods
September 27, 2009, in conjunction with
ICCV2009, Kyoto, Japan.
M.H. Nguyen, L.
Torresani, F. De la Torre, and C. Rother.
Weakly supervised Discriminative Localization and
Classification: a joint Learning process.
Proceedings of International Conference on
Computer Vision (ICCV), October, 2009.
E.H. Spriggs, F.
De la Torre, and M. Hebert.
Temporal Segmentation and Activity Classification from
First-person Sensing.
IEEE Workshop on Egocentric Vision, CVPR
2009, June, 2009.
J. Gonzalez-Mora, N. Guil, F.
De la Torre, E. Zapata.
Efficient Image Alignment using Linear Appearance Models.
IEEE Conference on Computer Vision and
Pattern Recognition, June, 2009.
F. De la Torre, J. Hodgins, J. Montano and S. Valcarcel
Detailed Human Data Acquisition of Kitchen Activities: the
CMU-Multimodal Activity Database (CMU-MMAC).
CHI 2009 Workshop. Developing Shared Home
Behavior Datasets to Advance HCI and Ubiquitous Computing Research. Boston.
April 4th, 2009.
R. Gross, L. Sweeney, J. F. Cohn, F. De la
Torre and S. Baker
Face
De-Identification.
Protecting Privacy in Video Surveillance.
Senior, Andrew (Ed.), Springer. pp. 129-146. April 2009.
J. Melenchon, E. Martinez, F. De la Torre and J. A. Montero
Emphatic Visual
Speech Synthesis
IEEE Transactions on Audio, Speech and Language
Processing. Vol. 17, Num. 3, pp. 459-468. March 2009.
F. De la Torre and T. Kanade
Discriminative Cluster Analysis.
Theory and Novel Applications of Machine
Learning. M. Er and Y. Zhou (Eds). January 2009.
R. C. Thurston, K. A. Matthews, J. Hernandez and F. De la Torre
Improving the performance of physiologic hot flash
measures with support vector machines.
Psychophysiology,
Psychophysiology, 46, 285–292. January
2009.
2008
M.H Nguyen and F. De
la Torre
Robust Kernel Principal Component Analysis
Advances in Neural Information Processing Systems, December, 2008.
F. Zhou, F. De la
Torre and J. Hodgins
Aligned
Cluster Analysis for Temporal Segmentation of Human Motion
IEEE Conference on Automatic Face and Gestures Recognition, September, 2008.
M. Nguyen and F. De la Torre
Learning
Image Alignment without Local Minima
IEEE Conference on Automatic Face and Gestures Recognition, September, 2008.
M. Nguyen, J. Perez and F. De la Torre
Facial Feature Detection with Optimal Pixel Reduction SVMs
IEEE Conference on Automatic Face and Gestures Recognition, September, 2008.
M. Nguyen and F. De la Torre
Local Minima Free Parameterized Appearance Models
IEEE Conference on Computer Vision and Pattern Recognition, June, 2008.
F. De la Torre and M. Nguyen
Parameterized Kernel Principal Component Analysis: Theory
and Applications to Supervised and Unsupervised Image Alignment
IEEE Conference on Computer Vision and Pattern Recognition, June, 2008.
R. Gross, L. Sweeney,
F. De la Torre, and S. Baker
Semi-Supervised Learning of Multi-Factor Models for Face
De-Identification
IEEE Conference on Computer Vision and Pattern
Recognition, June, 2008.
F. De la Torre
A Least-Squares Unified View of PCA,
LDA, CCA and Spectral Graph Methods
Tech. report CMU-RI-TR-08-29, Robotics Institute,
Carnegie Mellon University, May, 2008.
J. Maria Cabero, F. De la Torre, I. Arizaga, and
A. Sanchez
Tracking Algorithms Based on Dynamics of Individuals and
MultiDimensional Scaling
IEEE international symposium on wireless pervasive
computing 2008, May, 2008.
F. De la Torre, J.
Hodgins, A. Bargteil, X. Martin, J. Macey, A. Collado and P. Beltran
Guide to the
Carnegie Mellon University Multimodal Activity (CMU-MMAC) Database
Tech. report CMU-RI-TR-08-22, Robotics Institute,
Carnegie Mellon University, April, 2008.
M. Nguyen, J. Lalonde, A.A. Efros, and F. De la
Torre
Computer Graphics Forum Journal (Eurographics), April,
2008.
2007
F. De la Torre, J. Campoy,
Z. Ambadar and J. F. Cohn
Temporal
Segmentation of Facial Behavior
International Conference on Computer
Vision, October 2007.
J. Gonzalez, F. De la Torre,
R. Murthi, N. Guil, E. Zapata
Bilinear Active Appearance Models
Workshop on Non-rigid Registration and Tracking through
Learning. In conjunction with ICCV 2007. October 2007.
J. Cabero, F. De la
Torre, I. Arizaga and A. Sanchez
Indoor People
Tracking based on Dynamic Weighted Multidimensional Scaling
IEEE International Symposium on Modeling, Analysis and
Simulation of Wireless and Mobile Systems, October 2007.
E. Garcia-Cuesta, F. De la Torre, A. De Castro
A Comparative
Study of Supervised Learning Techniques for the Radiative Transfer Equation
Inversion
to appear: International Conference on Machine Learning
and Data Analysis, October 2007.
F. De la Torre, A.
Collet, J. F. Cohn and T. Kanade
Filtered
Component Analysis to Increase Robustness to Local Minima in Appearance Models
Proc. IEEE Conf. on Computer Vision and Pattern
Recognition,
F. De la Torre and
O. Vinyals
Learning
Kernel Expansions for Image Classification
Proc. IEEE Conf. on Computer Vision and Pattern
Recognition,
Multimodal
Diaries
Proc. IEEE International Conference in Multimedia and
Expo,
E. Lopez-Vidriero, R. Costic, M. Manzano, F. de la
Torre, J. Lara, F. H. Fu and M. Rodosky,
Evaluación
Biomecánica del Efecto del Taladrado versus Perforado antes de la Colocación de
Arpones para la Cirugía Artroscópica de Manguito.
Cuadernos de
Artroscopia. Vol 14. Supp 2, Num. 32, Pag. 69. May 2007.
E. Lopez-Vidriero, R. Costic, C. Molano, S.
Exposito, F. De la Torre, J. Lara, F. H. Fu and M. Rodosky,
Estudio
Biomecánico sobre como Afecta la Colocación de los Arpones del Manguito de los
Rotadores en Distintas Localizaciones.
Cuadernos de
Artroscopia. Vol 14. Supp 2, Num 32, Pag. 69. May 2007.
Biomechanical Evaluation of Drilling versus Punching Before Placement of Anchors for Rotator Cuff Surgery.
Arthroscopy Association of
Structural Properties of Anchor´s Placement for Rotator Cuff Surgery in Different Locations.
Arthroscopy Association of
F. De la Torre and
O. Vinyals
Parameterized Kernels for Support Vector Machine
Classification
Proc. 2nd International Conference on Computer Vision
Theory and Applications, pp. 207-213,
F. De la Torre, A.
Collet, J. F. Cohn and T. Kanade
Robust Appearance Matching with Filtered Component
Analysis
Proc. 2nd International Conference on Computer
Vision Theory and Applications, pp. 116-122,
F. De la Torre, J.
Campoy, J. F. Cohn and T. Kanade
Simultaneous Registration and Clustering
for Temporal Segmentation.
Proc. 2nd International Conference on Computer
Vision Theory and Applications, pp. 110-115,
2006
F. De la Torre and T. Kanade
Discriminative
Cluster Analysis
Proc. International Conference on Machine Learning, pp.
241-248,
S. Lucey, I. Matthews, C.
Hu, Z. Ambadar, F. De la Torre and J. F.
Cohn
AMM Derived Face
Representations for Robust Facial Action Recognition
Proc. IEEE
International Conference on Automatic Face and Gesture Recognition, pp.
155-160,
C. Valles, F. De la Torre,
M. Veloso and T. Kanade
Automatic
Clustering of Faces in Meetings
Proc. International Conference on Image Processing,
Atlanta, GA, October 2006.
R. Gross, L. Sweeney, F. De la Torre and S. Baker
Model-Based Face
De-Identification
IEEE Workshop on Privacy Research in Vision. In
conjunction with CVPR-06,
2005
F. De la Torre, C.
Vallespi, P. E. Rybski, M. Veloso and T.
Kanade.
Omnidirectional Video Capturing, Multiple
People Tracking and Identification for Meeting Monitoring.
tech. report CMU-RI-TR-05-04, Robotics Institute,
F. De la Torre and T. Kanade.
Multimodal Oriented Discriminant Analysis
Proc. International Conference on Machine
Learning,
F. De la Torre, R.
Gross, S. Baker and B.V.K. Vijaka Kumar
Representational Oriented Component
Analysis (
Proc. IEEE Computer Vision and Pattern
Recognition, San Diego, June
2005.
F. De la Torre, C. Vallespi, P. Rybski, M.
Veloso and T. Kanade
Multiple face Recognition from
omnidirectional video
IEEE
Workshop on Learning in Computer Vision and Pattern Recognition,
F. De la Torre, C. Vallespi,
P. Rybski, M. Veloso and T. Kanade
Learning to track people in omnidirectional
video
Proc. International Conference on Robotics
and Automation,
2004
F. De la Torre and T. Kanade
Oriented Discriminant Analysis
British Machine Vision Conference. London, September 2004.
F. De la Torre, J. Casoliva, and J. Cohn
Learning 3D Appearance Models from Video
International Conference on Automatic Face
and Gesture Recognition. Seoul, May 2004.
P. E. Rybski, S. Banerjee, F. De la Torre, C.
Vallespi, A. Rudnicky and M. Veloso
Segmentation and Classification of Meetings using Multiple Information Streams
Proc. International Conference on
Multimodal Interfaces, pp. 335-336,
P. E. Rybski, F. De la Torre, R. Patil, C.
Vallespi, M. Veloso, and B. Browning
CAMEO: The Camera Assisted Meeting Event
Observer
Proc. International Conference on Robotics
and Automation,
J. Cortadellas, J. Amat
and F. De la Torre
Robust normalization of Silhouettes for Recognition
Applications
Pattern Recognition Letters. Vol. 25. pp.
591-601. April 2004.
2003
F. De la Torre and M.
J. Black
Robust Parameterized Component Analysis: Theory and Applications to 2D
Facial Appearance Models
Computer Vision and Image Understanding.
Vol. 91. pp. 53-71. 2003.
F. De la Torre and M.
J. Black
A Framework for Robust Subspace Learning
International Journal of Computer Vision.
Vol. 54. Issue 1-3, pp. 183-209, Aug.-Oct. 2003.
(Video1, Original data, PCA, RPCA)
F. De la Torre, J. Carlos
and E. Martinez
Subspace Eyetracking for Driver Warning
International Conference on Image
Processing. Barcelona, September 2003.
J. Melenchon, F. De la Torre, I. Iriondo, F. Alias and E. Martinez.
Text to Visual Synthesis with Appearance
Models
International
Conference on Image Processing. Barcelona, September 2003.
2002
F. De la Torre and
M. J. Black
Robust Parameterized Component Analysis:
Applications to 2D facial modeling
European Conf. on Computer Vision,
ECCV2002.
2001
F. De la Torre and M.
J. Black
Dynamic Coupled Component Analysis
IEEE Proc. Computer Vision and Pattern Recognition,
CVPR'01, Kauai, Hawaii, Vol. II,
pp. 643-650, Dec. 2001.
F. De la Torre
Cara a Cara con la Tecnología Creativa. Aprendizaje Automático de un Modelo
Personal Facial para la Detección, Reconocimiento, Seguimiento y animación
I Congreso de Creatividad &
Sociedad.
F. De la Torre
Automatic Learning of Facial Appearance Models
Second International Workshop on Recognition, Analysis
and Tracking of Faces and Gestures in Real-time Systems (RATFG-RTS 2001).
F. De la Torre and M. J. Black
Robust
Principal Component Analysis for Computer Vision
International
Conference on Computer Vision. Vancouver 2001.
2000
H. Sidenbladh,
F. De la Torre and M. J. Black
A Framework for Modeling the Appearance of
3D Articulated Figures
Fourth IEEE International Conference on Automatic Face
and Gesture Recognition. Grenoble 2000.
F. De la Torre, Y.
Yacoob and L. Davis
A Probabilistic
Framework for Rigid and Non-Rigid Appearance based Tracking and Recognition
Fourth IEEE International Conference on
Automatic Face and Gesture Recognition. Grenoble 2000.
F. De la Torre, J. Vitria, P. Radeva and J. Melenchón
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EigenFiltering for
Flexible Eigentracking.
15th
International Conference on Pattern Recognition (ICPR). Barcelona, September 2000.
Before 2000
F. De la Torre, X. Jové, E. Martínez
E. and LL. Vicent
Appearance Based Tracking
with Switching
2on Congrés Català d'Inteligència Artificial.
F. De la Torre, S.
Gong and S. McKenna
View-based Adaptive Affine
Alignment
In Proceeding European Conference on Computer
Vision,
F. De la
Torre, S. Gong and S. McKenna
View Alignment with Dynamically
Updated Affine Tracking
In
Proceeding Face and Gesture Recognition,
F. De la Torre, E. Martínez, E.
Santamaría, J. A. Morán
Moving Object Detection and
Tracking System: a real time implementation
Proceedings
of the Symposium on Signal and Image Processing GRETSI 97,
E. Martínez, E. Santamaría, X.
Jové, F. De la Torre
Unsupervised Morphological
Segmentation of Objects in Contact
In Proceedings
of the Symposium on Signal and Image Processing GRETSI 97, Grenoble,
France. 1997.