Index
2023 2022 2021 2020 2019 2018 2017 Before
2016




2023
Data-Free Class-Incremental Hand Gesture Recognition
S. Aich, J. Ruiz-Santaquiteria, Z. Lu, P. Garg, K J Joseph, A. Fernandez, V. N. Balasubramanian, K. Kin, C. Wan, N. C. Camgoz, S. Ma, F. De la Torre
International Conference on Computer Vision (ICCV) , 2023.

A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance
C. Wu and F. De la Torre
International Conference on Computer Vision (ICCV) , 2023.

PATMAT: Person Aware Tuning of Mask Aware Transformer for Face Inpainting
S. Motamed, J. Xu, C. Wu and F. De la Torre
International Conference on Computer Vision (ICCV) , 2023.

ITI-GEN: Inclusive Text-to-Image Generation
C. Zhang, X. Chen, S. Chai, C. Wu, D. Lagun, T. Beeler, and F. De la Torre
International Conference on Computer Vision (ICCV) , 2023.

Zero-shot Model Diagnosis (ZOOM)
J. Luo, Z. Wang, C. Wu, D. Huang, and F. De la Torre
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , 2023.



2022
DensePose from Wifi
J. Geng, D. Huang, F. De la Torre
Arxiv, December , 2022.

Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models
C. Wu, S. Motamed, S. Srivastava, F. De la Torre
Advances in Neural Information Processing Systems (NIPS), 2022.

Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance
F. Taherkhani, A. Rai*, S. Srivastava*, Q. Gao*, X. Chen, F. De la Torre, S. Song, A. Prakash, D. Kim
Winter Conference on Applications of Computer Vision (WACV) , 2022.

Robust Egocentric Photo-realistic Facial Expression Transfer for Virtual Reality
A.Jourabloo, B. Gecer, F. De la Torre, J. Saragih, S.Wei, S. Lombardi, T. Wang, D. Belko, A. Trimble, H. Badino
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , 2022.



2021
Real-time 3D neural facial animation from binocular video
C Cao, V Agrawal, F De La Torre, L Chen, J Saragih, T Simon, Y Sheikh,
ACM Transactions on Graphics (TOG) , 40 (4), 1-17, 2021.

3d human shape and pose from a single low-resolution image with self-supervised learning
X. Xu, H. Chen, F. Moreno-Noguer, L. Jeni, F. De la Torre,
PAMI , 2021.

MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement
A Richard, M Zollhoefer, Y Wen, F De la Torre, Y Sheikh,
ICCV , 2021.

Implicit hrtf modeling using temporal convolutional networks
ID. Gebru, D. Markovic, A. Richard, S. Krenn, G. Butler, F. De la Torre, and Y. Sheikh
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2021.

Neural Synthesis of Binaural Speech From Mono Audio
A. Richard, D. Markovic, ID. Gebru, S. Krenn, G. Butler, F. De la Torre, and Y. Sheikh
International Conference on Learning Representations (ICLR) , 2021.
ICLR Best Paper Award

High-fidelity Face Tracking for AR/VR via Deep Lighting Adaptation
L. Chen, C. Cao, F. De la Torre, J. Saragih, and Y. Sheikh
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , 2021.

Pixel Codec Avatars
S. Ma, T. Simon, J. Saragih, D. Wang, Y. Li, F. De La Torre, and Y. Sheikh
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , 2021.



2020
Audio-and gaze-driven facial animation of codec avatars
A. Richard, C. Lea, S. Ma, J. Gall, F. de la Torre, and Y. Sheikh
Winter Conference on Applications of Computer Vision , 2020.

Comparing laboratory and in-the-wild data for continuous Parkinson ’s Disease tremor detection
A. Zhang, F. De la Torre, and J. Hodgins,
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) , 2020.

3d human shape and pose from a single low-resolution image with self-supervised learning
X Xu, H Chen, F Moreno-Noguer, LA Jeni, and F De la Torre
European Conference on Computer Vision (ECCV) , 2020.

Expressive telepresence via modular codec avatars
H. Chu, S. Ma, F. De la Torre, S. Fidler, and Y. Sheikh,
European Conference on Computer Vision (ECCV) , 2020.

Parkinson ’ s Disease Tremor Detection in the Wild Using Wearable Accelerometers
R. San-Segundo, A. Zhang, A. Cebulla, S. Panev, G. Tabor, K. Stebbins, R. Massa, A. Whitford, F. De la Torre, and J. Hodgins.
Sensors , 2020.



2019
Discriminative Optimization: Theory and Applications to Computer Vision Problems
J. Vongkulbhisal, R. Cabral, F. De la Torre and J. Paulo Costeira,
Pattern Analysis and Machine Intelligence , 41(4): 829-843 (2019) .

Weakly-Supervised Learning of Category-specific 3D Object Shapes
J. Han, Y. Yang, D. Zhang, D. Huang, D. Xu, and F. De La Torre,
Pattern Analysis and Machine Intelligence , 2019.

Increasing robustness in the detection of freezing of gait in Parkinson’s disease
R. San-Segundo, H. Navarro, R. Torres, F. De la Torre, and J. Hodgins
Electronics , vol. 8, no. 2, 119, January 2019. .

Learning facial action units with spatiotemporal cues and multi-label sampling
W. Chu, F. De la Torre, and J. Cohn,
Image and Vision Computing (IVC) , vol. 81, pp. 1-14, January 2019.



2018
Inverse Composition Discriminative Optimization for Point Cloud Registration
J. Vongkulbhisal and Beñat Irastorza Ugalde and F. De la Torre and J. Paulo Costeira
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2018.

Road curb detection and localization with monocular forward-view vehicle camera
S Panev, F Vicente, F De la Torre, V Prinet
IEEE Transactions on Intelligent Transportation Systems 20 (9), 3568-3584 , 2018.



2017
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning
Calvin Murdock, Fernando De la Torre
International Conference on Computer Vision (ICCV), , 2017.

Soft-Margin Mixture of Regressions
Dong Huang, Longfei Han, Fernando De la Torre
IEEE Conference on Computer Vision and Pattern Recognition , 2017.

Weakly-supervised learning for Parkinson's Disease tremor detection
Ada Zhang, Alexander Cebulla, Stanislav Panev, Jessica Hodgins, Fernando De la Torre
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC , 2017.

A Branch-and-Bound Framework for Unsupervised Common Event Discovery
Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Daniel S. Messinger
International Journal of Computer Vision (IJCV), vol. 123, issue 3, pp. 372-391, 2017.

Learning Spatial and Temporal Cues for Multi-Label Facial Action Unit Detection
Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn
IEEE International Conference on Automatic Face & Gesture Recognition (FG) , 2017.

Discriminative Optimization: Theory and Applications to Point Cloud Registration
J. Vongkulbhisal, F. De la Torre, J. Paulo Costeira
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Additive Component Analysis
C. Murdock, F. De la Torre
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Selective Transfer Machine for Personalized Facial Expression Analysis
W.-S. Chu, F. De la Torre, J. F. Cohn
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2017.



2016
Motion from Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories
J. Vongkulbhisal and R. Cabral and F. De la Torre and J. Paulo Costeira
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2016.

Spatio-temporal Matching for Human Pose Estimation in Video
F. Zhou and F. De la Torre
IEEE Transaction on Pattern Analysis and Machine Intelligence , 2016.

Factorized Graph Matching
F. Zhou and F. De la Torre
IEEE Transaction on Pattern Analysis and Machine Intelligence, 2016.

Robust Regression
D. Huang and R. Cabral and F. De la Torre
To appear at IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016.

Generalized Canonical Time Warping
F. Zhou, F. De la Torre,
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016.

Selective Transfer Machine for Personalized Facial Expression Analysis
W.S. Chu, F. De la Torre, and J. F. Cohn.
To appear at IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016.

Feature and Region Selection for Visual Learning
J. Zhao, L. Wang, R. Cabral, and F. De la Torre
IEEE Transactions on Image Processing, 2016.

Joint Patch and Multi-label Learning for Facial Action Unit and Holistic Expression Recognition
K. Zhao, W. -S. Chu, F. De la Torre, J. F. Cohn, and H. Zhang
To appear at IEEE Transactions on Image Processing, 2016.

Cascade of Tasks for facial expression analysis
X. Ding, W. Chu, F. De la Torre, J. F. Cohn, and Q. Wang
Image and Vision Computing (IVC), 2016.



2015
Semantic Component Analysis
C. Murdock and F. De la Torre
International Conference on Computer Vision (ICCV) , 2015.

Unsupervised Synchrony Discovery in Human Interaction
W.-S. Chu, J. Zeng, F. De la Torre, J. F. Cohn, and D. Messinger
International Conference on Computer Vision (ICCV) , 2015.

Confidence Preserving Machine for Facial Action Unit Detection
J. Zeng, W.-S. Chu, F. De la Torre, J. F. Cohn, and Z. Xiong
International Conference on Computer Vision (ICCV) , 2015.

Assessment of Movement Patterns during Intubation between Novice and Experienced Providers Using Mobile Sensors: A Preliminary, Proof of Concept Study
J. N. Carlson, S. Das, S. Spring, A. Frisch, F. De la Torre, and J. Hodgins
BioMed Research International, , 2015.

Joint Patch and Multi-Label Learning for Facial Action Unit Detection
K. Zhao, W.-S. Chu, F. De la Torre, J. Cohn, and H. Zhang,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2015.

Global Supervised Descent Method
X. Xiong and F. De la Torre,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2015.
How much training data for facial action unit detection?
J. Girard, J. Cohn, L. Jeni, S. Lucey and F. De La Torre
IEEE International Conference on Face and Gesture Recognition , 2015.

IntraFace
F. De La Torre, W. Chu, X. Xiong, F. Vicente, J. F. Cohn
IEEE International Conference on Face and Gesture Recognition , 2015.

Best Demo Award



2014
Learning discriminative localization from weakly labeled data
M. Hoai, L. Torresani, F. De la Torre, C. Rother
Asian Conference on Computer Vision (ACCV), 2014.

Estimating smile intensity: A better way
J. M. Girard, J. F. Cohn and F. De la Torre
Pattern Recognition Letters , 2014.

Spontaneous facial expression in unscripted social interactions can be measured automatically
J. M. Girard, J. F. Cohn, L. Jeni, M. Sayette and F. De la Torre
Behavior Research Methods , 2014.

Optimal No-intersection Multi-label Binary Localization for Time Series using Totally Unimodular Linear Programming
R. Cabral, J. Costeira, A. Bernardino and F. De la Torre
International Conference on Image Processing (ICIP), 2014.

Pareto Models for Multiclass Discriminative Linear Dimensionality Reduction
K. T. Abou--Moustafa, F. De La Torre and F. P. Ferrie
Pattern Recognition, 2014.

Multi-label Discriminative Weakly-Supervised Human Activity Recognition and Localization
E. Adeli Mosabbeb, R. Cabral, F. De la Torre, and M. Fathy
Asian Conference on Computer Vision (ACCV), 2014.

SPARK: Personalized Parkinson Disease Interventions through Synergy between a Smartphone and a Smartwatch
V. Sharma, K. Mankodiya, F. De La Torre, A. Zhang, N. Ryan, T. GN Ton, R. Gandhi, and S. Jain
Design, User Experience, and Usability, 2014.

Analysis of smart phone video footage classifies chest compression rate during simulated CPR
A. Frisch, S. Das, J. C. Reynolds, F. De la Torre, J. K. Hodgins, and J. N. Carlson
The American Journal of Emergency Medicine , 2014.

Automated Face Analysis for Affective Computing
J. F. Cohn and F. De la Torre
The Oxford Handbook of Affective Computing, 2014.

Subspace Procrustes Analysis
. Perez-Sala, F. De la Torre, L. Igual, S. Escalera, and C. Angulo
ECCV Workshop on ChaLearn Looking at People, 2014.

Matrix Completion for Multi-label Image Classification
R. S. Cabral, F. De la Torre, J. P. Costeira and A. Bernardino
IEEE Transactions on PAMI, 2014.

Feature and Region Selection for Visual Learning
J. Zhao, L. Wang, R. Cabral and F. De la Torre
Tech. report CMU-RI-TR-14-12, 2014.
Twice rejected paper (apparently evaluating in four databases is not enough).

Motion Words for Video
E. Taralova, F. De la Torre and M . Hebert
European Conference on Computer Vision (ECCV), 2014.

Sequential Max-Margin Event Detectors
D. Huang, Y. Wang, S. Yao and F. De la Torre
European Conference on Computer Vision (ECCV), 2014.

Spatio-temporal Matching for Human Detection in Video
F. Zhou and F. De la Torre
European Conference on Computer Vision (ECCV), 2014.

Complex Non-Rigid Motion 3D Reconstruction by Union of Subspaces
Y. Zhu, D. Huang, F. De la Torre and S. Lucey
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.

Structured Prediction for Event Detection
M. H. Nguyen and F. De la Torre
Advanced Structured Prediction Method, MIT Press, 2014.

Max-Margin Early Event Detectors
M. H. Nguyen and F. De la Torre
International Journal of Computer Vision, vol. 107, issue 2, pp. 191-202, 2014.

2013
Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-rank Matrix Decomposition
R. Cabral, F. De la Torre, J. P. Costeira and A. Bernardino
International Conference on Computer Vision (ICCV), 2013.

Robust Matrix Factorization with Unknown Noise
D. Meng and F. De la Torre
International Conference on Computer Vision (ICCV), 2013.

Facial Action Unit Event Detection by Cascade of Tasks
X. Ding, W.-S. Chu, F. De la Torre, J. F. Cohn, and Q. Wang
International Conference on Computer Vision (ICCV), 2013.

Supervised Descent Method and its Application to Face Alignment
X. Xiong and F. De la Torre
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

Selective Transfer Machine for Personalized Facial Action Unit Detection
W.-S. Chu, F. De la Torre and J. F. Cohn
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

Deformable Graph Matching
F. Zhou and F. De la Torre
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

Multiple Instance Learning via Gaussian Processes
M. Kim and F. De la Torre
Data Mining and Knowledge Discovery (DMKD) , 2013

Learning Probability Distributions over PartiallyOrdered Human Everyday Activities
M. Tenorth, F. De la Torre and M. Beetz
International Conference on Robotics and Automation (ICRA) , 2013

Canonical Locality Preserving Latent Variable Model for Discriminative Pose Inference
Y. Tian, L. Sigal, F. De la Torre and Y. Jia
Image and Vision Computing (IVC), vol. 31, no. 3, pp. 223-230, 2013

Hierarchical Aligned Cluster Analysis for Temporal Clustering of Human Motion
F. Zhou, F. De la Torre and J. K. Hodgins
IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), vol. 35, no. 3, pp. 582-596, 2013





2012
Image-based tree pruning
W Liu, G Kantor, F De la Torre and N Zheng
IEEE International Conference on Robotics and Biomimetics (ROBIO) , 2012

Motion Capture Measures Variability in Techniques of Endotracheal Intubation
J. N. Carlson, S. Das, F. De la Torre, C. W. Callaway, P. Phrampus and J. Hodgins
Journal of Simulation in Healthcare (SIH), 2012


Detecting Parkinsons' Symptoms in Uncontrolled Home Environments: A Multiple Instance Learning Approach
S. Das, B. Amoedo, F. De la Torre and J. Hodgins
IEEE International Conference on Engineering in Medicine and Biology Society (EMBS), 2012

Multimodal feature analysis for quantitative performance evaluation of endotracheal intubation (ETI)
S. Das, J. Carlson, F. De la Torre and J. Hodgins
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012

Robust Regression
D. Huang, R. Silveira and F. De la Torre
European Conference on Computer Vision (ECCV), 2012



Supplementary Material
Continuous Regression for Non-Rigid Image Alignment
E. Sanchez, F. De la Torre and D. Gonzalez
European Conference on Computer Vision (ECCV), 2012

Unsupervised Temporal Commonality Discovery
W.-S. Chu, F. Zhou and F. De la Torre
European Conference on Computer Vision (ECCV), 2012

A least-squares framework for Component Analysis
F. De la Torre
IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), 2012

Max-Margin Early Event Detectors
M. Hoai and F. De la Torre
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
Best Student Paper Award

Factorized Graph Matching
F. Zhou and F. De la Torre
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.



Supplementary Material
Generalized Time Warping for Multi-modal Alignment of Human Motion
F. Zhou and F. De la Torre
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.

Fixed-Rank Representation for Unsupervised Visual Learning
R. Liu, Z. Lin, F. De la Torre and Z. Su
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.

Maximum Margin Temporal Clustering
M. Hoai and F. De la Torre
International Conference on Artificial Intelligence and Statistics (AISTATS), 2012.





2011
Matrix Completion for Multi-label Image Classification
R. S. Cabral, F. De la Torre, J. P. Costeira and A. Bernardino
Advances in Neural Information Processing Systems (NIPS), 2011.

Fast and Robust Circular Object Detection with Probabilistic Pairwise Voting (PPV)
L. Pan, W.-S. Chu, J. M. Saragih and F. De la Torre
IEEE Signal Processing Letters, 2011.

Source Constrained Clustering
E. Taralova, F. De la Torre and M. Hebert
International Conference on Computer Vision (ICCV), 2011.

Quantitative Measurement of Motor Symptoms in Parkinson's Disease: A Study with Full-body Motion Capture Data
S. Das, L. Trutoiu, A. Murai, D. Alcindor, M. Oh, F. De la Torre and J. Hodgins
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2011.

FAST-FACS: A Computer-Assisted System to Increase Speed and Reliability of Manual FACS Coding
F. De la Torre, T. Simon, Z. Ambadar and J. F. Cohn
Affective Computing and Intelligent Interaction (ACII), 2011.

Relaxed Exponential Kernels for Unsupervised Learning
K. Abou-Moustafa, M. Shah, F. De La Torre and F. Ferrie
Symposium of the German Association for Patter Recognition (DAGM), 2011

Fast Incremental Method for Matrix Completion: an Application to Trajectory Correction
R. S. Cabral, J. P. Costeira, F. De la Torre and A. Bernardino
IEEE Conference on Image Processing (ICIP), 2011

Interactive Region-based Linear 3D Face Models
J. R. Tena, F. De la Torre and I. Matthews
ACM SIGGRAPH, 2011.

Facial Expression Analysis
F. De la Torre and J. F. Cohn
Guide to Visual Analysis of Humans: Looking at People, Springer, 2011.

Computerized detection and analysis of cancer chemotherapy-induced emesis in a small animal model, musk shrew
D. Huang, K. Meyers, S. Henry, F. De la Torre and C. C. Horn
Journal of Neuroscience Methods, 2011.

Dynamic Cascades with Bidirectional Bootstrapping
for Spontaneous Facial Action Unit Detection

Y. Zhu, F. De la Torre, J. Cohn and Y. Zhang
IEEE Transactions on Affective Computing, vol. 2, issue 2, pp. 79-91, 2011.

Joint Segmentation and Classification of Human Actions in Video
M. Hoai, Z. Lan and F. De la Torre
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011

Local Isomorphism to Solve the Pre-image Problem in Kernel Methods
D. Huang, Y. Tian and F. De la Torre
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011

Supervised Local Subspace Learning for Continuous Head Pose Estimation
D. Huang, M. Storer, F. De la Torre and H. Bischof
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011

Time and order estimation of paintings based on visual features and expert priors
R. S. Cabral, J. P. Costeira, F. De la Torre, A. Bernardino and Gustavo Carneiro
SPIE Electronic Imaging, Computer Vision and Image Analysis of Art II, 2011

Hierarchical CRF with Product Label Spaces for Parts-based Models
G. Roig, X. Boix, F. De la Torre, J. Serrat and C. Vilella
IEEE Conference on Automatic Face and Gestures Recognition (FG), 2011

Active Conditional Models
Y. Chen and F. De la Torre
IEEE Conference on Automatic Face and Gestures Recognition (FG), 2011





2010
Latent Gaussian Mixture Regression for Human Pose Estimation
Y. Tian, L. Sigal, H. Badino, F. De la Torre and Y. Liu
Asian Conference on Computer Vision (ACCV), 2010

Subspace Regression: Predicting a Subspace from One Sample
M. Kim, Z. Zhang, F. De la Torre and W. Zhang
Asian Conference on Computer Vision (ACCV), 2010

Unsupervised Summarization of Rushes Videos
Y. Liu, F. Zhou, W. Liu, F. De la Torre and Y. Liu
ACM Multimedia (MM), 2010

A Real-time System for Head Tracking and Pose Estimation
Z. Zhang, M. Kim, F. De la Torre and Wende Zhang
A Real-time System for Head Tracking and Pose Estimation Workshop on Signal, Gesture and Activity. In conjunction with ECCV 2010

Support Vector Machines to improve physiologic hot flash measures: Application to the ambulatory setting
R. C. Thurston, J. Hernandez Rivera, J. Maria Del Rio and F. De la Torre
Psychophysiology, 2010

3D Reconstruction of a Moving Point from a Series of 2D Projections
H. S. Park, T. Shiratori, I. Matthews and Y. Sheikh
European Conference on Computer Vision (ECCV), 2010

Bilinear Kernel Reduced Rank Regression for Facial Expression Synthesis
D. Huang and F. De la Torre
European Conference on Computer Vision (ECCV), 2010

Personalized Stress Detection from Physiological Measurements
Y. Shi, M. H. Nguyen, P. Blitz, B. French, S. Fisk, F. De la Torre, A. Smailagic, D. P. Siewiorek, M. Absi, E. Ertin, T. Kamarck and S. Kumar
International Symposium on Quality of Life Technology, 2010

Coupled State-Space Models for Monitoring Nursing Home Resident Activity
Y. Shi, C. Chen, F. De la Torre and H. Wactlar
International Symposium on Quality of Life Technology, 2010

Continuous Procrustes Analysis to Learn 2D Shape Models from 3D Objects
L. Igual and F. De la Torre
3rd Workshop on Non-Rigid Shape and Deformable Image Alignment in conjunction with CVPR, 2010

Local Minima Embedding
M. Kim and F. De la Torre
International Conference on Machine Learning (ICML), 2010.

Gaussian Process Multiple Instance Learning
M. Kim and F. De la Torre
International Conference on Machine Learning (ICML), 2010.

Unsupervised Discovery of Facial Events
F. Zhou, F. De la Torre and J. F. Cohn
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.


Technical report (longer version)
Action Unit Detection with Segment-based SVMs
T. Simon, M. H. Nguyen, F. De la Torre and J. F. Cohn
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.

Pareto Discriminant Analysis
K. T. Abou-Moustafa, F. De la Torre, F. P. Ferrie
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.

Learning a generic 3D face model from 2D image
databases using incremental structure from motion

J. Gonzalez-Mora, F. De la Torre, N. Guil, E. Zapata
Image and Vision Computing, 2010.

Metric Learning for Image Alignment
M. H. Nguyen and F. De la Torre
International Journal of Computer Vision, vol. 88, issue 1, pp. 69-84, 2010.

Optimal Feature Selection for Support Vector Machines
M. H. Nguyen and F. De la Torre
Pattern Recognition, vol. 43, pp. 584-591, 2010.





2009
Canonical Time Warping for Alignment of Human Behavior
F. Zhou and F. De la Torre
Advances in Neural Information Processing Systems (NIPS), December 2009.

Weakly supervised Discriminative Localization
and Classification: a joint Learning process

M. H. Nguyen, L. Torresani, F. De la Torre, and C. Rother
International Conference on Computer Vision (ICCV), October 2009.

Learning Good Features for Active Shape Models
N. Brunet, F. Perez and F. De la Torre
IEEE International Workshop on Subspace Methods in conjunction with ICCV, October 2009.

Optimal Feature Selection for Subspace Image Matching
G. Roig, X. Boix and F. De la Torre
IEEE International Workshop on Subspace Methods in conjunction with ICCV, October 2009.

Automated Facial Expression Recognition System
A. Ryan, J. F. Cohn, S. Lucey, J. Saragih, P. Lucey, F. De la Torre, and A. Rossi
IEEE International Carnahan Conference on Security Technology, October 2009.

Detecting Depression from Facial Actions and Vocal Prosody
J. F. Cohn, T. Simon, I. Matthews, Y. Yang, M. H. Nguyen, M. Tejera, F. Zhou and F. De la Torre
Affective Computing and Intelligent Interaction (ACII), September 2009.

Dynamic Cascades with Bidirectional Bootstrapping
for Spontaneous Facial Action Unit Detection

Y. Zhu, F. De la Torre, J. Cohn and Y. Zhang
Affective Computing and Intelligent Interaction (ACII), September 2009.

A Unification of Component Analysis Methods
F. De la Torre
Handbook of Pattern Recognition and Computer Vision (4th edition), World Scientific Publishing Co., October 2009.
Temporal Segmentation and Activity Classification from First-person Sensing
E. H. Spriggs, F. De la Torre, and M. Hebert
IEEE Workshop on Egocentric Vision in conjunction with CVPR, June 2009.

Efficient Image Alignment using Linear Appearance Models
J. Gonzalez-Mora, N. Guil, F. De la Torre and E. Zapata.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2009.

Detailed Human Data Acquisition of Kitchen Activities:
the CMU-Multimodal Activity Database (CMU-MMAC)

F. De la Torre, J. Hodgins, J. Montano and S. Valcarcel
CHI 2009 Workshop. Developing Shared Home Behavior Datasets to Advance HCI and Ubiquitous Computing Research, April 2009.

Face De-Identification
R. Gross, L. Sweeney, J. Cohn, F. De la Torre and S. Baker
Protecting Privacy in Video Surveillance, Springer, 2009.

Emphatic Visual Speech Synthesis
J. Melenchon, E. Martinez, F. De la Torre and J. A. Montero
IEEE Transactions on Audio, Speech and Language Processing, Vol. 17, Num. 3, pp. 459-468, March 2009.

Discriminative Cluster Analysis
F. De la Torre and T. Kanade
Theory and Novel Applications of Machine Learning. M. Er and Y. Zhou (Eds), January 2009.

Improving the performance of physiologic hot flash
measures with support vector machines

R. C. Thurston, K. A. Matthews, J. Hernandez and F. De la Torre
Psychophysiology, vol. 46, pp. 285?292, January 2009.





2008
Robust Kernel Principal Component Analysis
M. H. Nguyen and F. De la Torre
Advances in Neural Information Processing Systems (NIPS), December 2008.

Aligned Cluster Analysis for Temporal Segmentation of Human Motion
F. Zhou, F. De la Torre and J. K. Hodgins
IEEE Conference on Automatic Face and Gestures Recognition (FG), September 2008.

Learning Image Alignment without Local Minima
M. H. Nguyen and F. De la Torre
IEEE Conference on Automatic Face and Gestures Recognition (FG), September 2008.

Facial Feature Detection with Optimal Pixel Reduction SVMs
M. H. Nguyen, Joan Perez and F. De la Torre
IEEE Conference on Automatic Face and Gestures Recognition (FG), September 2008.

Local Minima Free Parameterized Appearance Models
M. H. Nguyen and F. De la Torre
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2008.

Parameterized Kernel Principal Component Analysis:
Theory and Applications to Supervised and Unsupervised Image Alignment

F. De la Torre and M. H. Nguyen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2008.

Semi-Supervised Learning of Multi-Factor Models for Face De-Identification
R. Gross, L. Sweeney, F. De la Torre, and S. Baker
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2008.

A Least-Squares Unified View of PCA, LDA, CCA and Spectral Graph Methods
F. De la Torre
Tech. report CMU-RI-TR-08-29, May 2008.
Tracking Algorithms Based on Dynamics of
Individuals and MultiDimensional Scaling

J. Maria Cabero, F. De la Torre, I. Arizaga, and A. Sanchez
IEEE international symposium on wireless pervasive computing, May 2008.

Image-based Shaving
M. H. Nguyen, J. Lalonde, A. A. Efros, and F. De la Torre
Computer Graphics Forum Journal (Eurographics), April 2008.

Guide to the Carnegie Mellon University
Multimodal Activity (CMU-MMAC) Database

F. De la Torre, J. Hodgins, A. Bargteil, X. Martin, J. Macey, A. Collado and P. Beltran
Tech. report CMU-RI-TR-08-22, April 2008.





Before 2008
Temporal Segmentation of Facial Behavior
F. De la Torre, J. Campoy, Z. Ambadar and J. F. Cohn
International Conference on Computer Vision, October 2007. Rio De Janeiro, Brasil.

Bilinear Active Appearance Models
J. Gonzalez, F. De la Torre, R. Murthi, N. Guil, E. Zapata
Workshop on Non-rigid Registration and Tracking through , October 2007. Rio De Janeiro, Brasil.

Indoor People Tracking based on Dynamic Weighted Multidimensional Scaling
J. Cabero, F. De la Torre, I. Arizaga and A. Sanchez
IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems, October 2007.

A Comparative Study of Supervised Learning Techniques for the Radiative Transfer Equation Inversion
E. Garcia-Cuesta, F. De la Torre, A. De Castro
International Conference on Machine Learning and Data Analysis, October 2007.

Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models
F. De la Torre, A. Collet, J. F. Cohn and T. Kanade
IEEE Conf. on Computer Vision and Pattern Recognition, Minneapolis, June 2007.

Learning Kernel Expansions for Image Classification
F. De la Torre and O. Vinyals
IEEE Conf. on Computer Vision and Pattern Recognition, Minneapolis, June 2007.

Multimodal Diaries
F. De la Torre and C. Agell
IEEE International Conference in Multimedia and Expo, Beijing, China, July 2007.

Evaluación Biomecánica del Efecto del Taladrado versus Perforado antes de la Colocación de Arpones para la Cirugía Artroscópica de Manguito
E. Lopez-Vidriero, R. Costic, M. Manzano, F. de la Torre, J. Lara, F. H. Fu and M. Rodosky
Cuadernos de Artroscopia. Vol 14. Supp 2, Num. 32, Pag. 69. May 2007.
Estudio Biomecánico sobre como Afecta la Colocación de los Arpones del Manguito de los Rotadores en Distintas Localizaciones
E. Lopez-Vidriero, R. Costic, C. Molano, S. Exposito, F. De la Torre, J. Lara, F. H. Fu and M. Rodosky
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
E. Lopez-Vidriero, R. Costic, F. De la Torre, F.H. Fu, and M. Rodosky
Arthroscopy Association of North America. Annual Meeting. San Francisco, April, 2007.
Structural Properties of Anchor´s Placement for Rotator Cuff Surgery in Different Locations
E. Lopez-Vidriero, R. Costic, F. De la Torre, F.H. Fu, and M. Rodosky
Arthroscopy Association of North America. Annual Meeting. San Francisco, April, 2007.
Parameterized Kernels for Support Vector Machine Classification
F. De la Torre and O. Vinyals
2nd International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 2007.
Robust Appearance Matching with Filtered Component Analysis
F. De la Torre, A. Collet, J. F. Cohn and T. Kanade
2nd International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 2007.
Simultaneous Registration and Clustering for Temporal Segmentation
F. De la Torre, J. Campoy, J. F. Cohn and T. Kanade
2nd International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 2007.
AMM Derived Face Representations for Robust Facial Action Recognition
S. Lucey, I. Matthews, C. Hu, Z. Ambadar, F. De la Torre and J. F. Cohn
IEEE International Conference on Automatic Face and Gesture Recognition, pp. 155-160, Southampton, April 2006.

Automatic Clustering of Faces in Meetings
C. Valles, F. De la Torre, M. Veloso and T. Kanade
International Conference on Image Processing, Atlanta, GA, October 2006.

Model-Based Face De-Identification
R. Gross, L. Sweeney, F. De la Torre and S. Baker
IEEE Workshop on Privacy Research in Vision. In conjunction with CVPR-06, New York, June 2006.

Omnidirectional Video Capturing, Multiple People Tracking and Identification for Meeting Monitoring
F. De la Torre, C. Vallespi, P. E. Rybski, M. Veloso and T. Kanade
Tech. report CMU-RI-TR-05-04, Robotics Institute, Carnegie Mellon University, January 2005.

Multimodal Oriented Discriminant Analysis
F. De la Torre and T. Kanade
International Conference on Machine Learning, Bonn, August 2005.

Representational Oriented Component Analysis (ROCA) for Face Recognition with One Sample Image Per Training Class
F. De la Torre, R. Gross, S. Baker and B.V.K. Vijaka Kumar
IEEE Conference on Computer Vision and Pattern Recognition, San Diego, June 2005.

Multiple face Recognition from omnidirectional video
F. De la Torre, C. Vallespi, P. Rybski, M. Veloso and T. Kanade
IEEE Workshop on Learning in Conjunction with CVPR-05, San Diego, June 2005.

Real-time Expression Cloning using Appearance Models
F. De la Torre, C. Vallespi, P. Rybski, M. Veloso and T. Kanade
International Conference on Robotics and Automation, Barcelona, Spain, May 2005.

Oriented Discriminant Analysis
F. De la Torre and T. Kanade
British Machine Vision Conference. London, September 2004.

Learning 3D Appearance Models from Video
F. De la Torre, J. Casoliva and J. Cohn
International Conference on Automatic Face and Gesture Recognition. Seoul, May 2004.

Segmentation and Classification of Meetings using Multiple Information Streams
P. E. Rybski, S. Banerjee, F. De la Torre, C. Vallespi, A. Rudnicky and M. Veloso
International Conference on Multimodal Interfaces, pp. 335-336, State-College, PA, October 2004.

CAMEO: The Camera Assisted Meeting Event Observer
P. E. Rybski, F. De la Torre, R. Patil, C. Vallespi, M. Veloso and B. Browning
International Conference on Robotics and Automation, New Orleans, May 2004.

Robust normalization of Silhouettes for Recognition Applications
J. Cortadellas, J. Amat and F. De la Torre
Pattern Recognition Letters. Vol. 25, pp. 591-601, April 2004.

Robust Parameterized Component Analysis: Theory and Applications to 2D Facial Appearance Models
F. De la Torre and M. J. Black
Computer Vision and Image Understanding, Vol. 91, pp. 53-71, 2003.

A Framework for Robust Subspace Learning
F. De la Torre and M. J. Black
International Journal of Computer Vision. Vol. 54. Issue 1-3, pp. 183-209, Aug.-Oct. 2003.

[Video1] [Original data] [PCA] [RPCA]
Subspace Eyetracking for Driver Warning
F. De la Torre, J. Carlos and E. Martinez
International Conference on Image Processing, Barcelona, September 2003.

Text to Visual Synthesis with Appearance Models
J. Melenchon, F. De la Torre, I. Iriondo, F. Alias and E. Martinez
International Conference on Image Processing. Barcelona, September 2003.

Robust Parameterized Component Analysis: Applications to 2D facial modeling
F. De la Torre and M. J. Black
European Conference on Computer Vision, 2002.

[Video1] [Video2]
Dynamic Coupled Component Analysis
F. De la Torre and M. J. Black
IEEE Proc. Computer Vision and Pattern Recognition, pp. 643-650, December 2001.

Cara a Cara con la Tecnología Creativa. Aprendizaje Automático de un Modelo Personal Facial para la Detección, Reconocimiento, Seguimiento y animación
F. De la Torre
I Congreso de Creatividad & Sociedad. Barcelona 27-29 de septiembre del 2001.

Automatic Learning of Facial Appearance Models
F. De la Torre
International Conference on Computer Vision, Vancouver, 2001.

Robust Principal Component Analysis for Computer Vision
F. De la Torre and M. J. Black
International Conference on Computer Vision, Vancouver, 2001.

A Framework for Modeling the Appearance of 3D Articulated Figures
H. Sidenbladh, F. De la Torre and M. J. Black
IEEE International Conference on Automatic Face and Gesture Recognition, Grenobl,e 2000.

A Probabilistic Framework for Rigid and Non-Rigid Appearance based Tracking and Recognition
F. De la Torre, Y. Yacoob and L. Davis
IEEE International Conference on Automatic Face and Gesture Recognition, Grenobl,e 2000.

[Video]
EigenFiltering for Flexible Eigentracking
F. De la Torre, J. Vitria, P. Radeva and J. Melenchón
IEEE International Conference on Automatic Face and Gesture Recognition, Grenobl,e 2000.

Appearance Based Tracking with Switching
F. De la Torre, X. Jové, E. Martínez E. and LL. Vicent
2on Congrés Català d'Inteligència Artificial. Girona, Spain. 25-27, October 1999.

View-based Adaptive Affine Alignment
F. De la Torre, S. Gong and S. McKenna
European Conference on Computer Vision, Freiburg, Germany, 2-6, June 1998.

View Alignment with Dynamically Updated Affine Tracking
F. De la Torre, S. Gong and S. McKenna
Proceeding of Face and Gesture Recognition, Nara, Japan, 14-16, April 1998.

Moving Object Detection and Tracking System: a real time implementation
F. De la Torre, E. Martínez, E. Santamaría, J. A. Morán
Proceedings of the Symposium on Signal and Image Processing GRETSI 97, Grenoble, France, 1997.

Unsupervised Morphological Segmentation of Objects in Contact
E. Martínez, E. Santamaría, X. Jové, F. De la Torre
Proceedings of the Symposium on Signal and Image Processing GRETSI 97, Grenoble, France, 1997.