Publications
2021
Adding Knowledge to Unsupervised Algorithms for the Recognition of Intent
Stuart Synakowski, Qianli Feng, Aleix Martinez
International Journal of Computer Vision (IJCV), 2021. Code
2020
The influence of spatial location on same-different judgments of facial identity and expression
Starks, M., Shafer-Skelton, A., Paradiso, M., Martinez, A. M., Golomb, J.
Journal of Experimental Psychology: Human Perception and Performance, 2020.
GANimation: One-Shot Anatomically Consistent Facial Animation
Pumarola, A., Agudo, A., Martinez, A.M. et al.
International Journal of Computer Vision, 2020
Computing the Testing Error without a Testing Set
Ciprian A. Corneanu, Sergio Escalera, Aleix M. Martinez
CVPR, 2020.
2019
What does it mean to learn in deep networks? And, how does one detect adversarial attacks?
Ciprian A. Corneanu, Meysam Madadi, Sergio Escalera, Aleix M. Martinez
CVPR, 2019.
The Promises and Perils of Automated Facial Action Coding in Studying Children's Emotions
A.M. Martinez
Developmental Psychology, in press
Context may reveal how you feel
A.M. Martinez
Proceedings of the National Academy of Science, 2019.
Cross-Cultural and Cultural-Specific Production and Perception of Facial Expressions of Emotion in the Wild
R. Srinivasan & A.M. Martinez
IEEE Transactions on Affective Computing, in press
Discriminant Functional Learning of Color Features for the Recognition of Facial Action Units and their Intensities
C.F. Benitez-Quiroz, R. Srinivasan & A.M. Martinez
IEEE Transactions on Pattern Analysis and Machine Intelligence, in press.
2018
Facial Color Is an Efficient Mechanism to Visually Transmit Emotion
C.F. Benitez-Quiroz, R. Srinivasan & A.M. Martinez
Proceedings of the National Academy of Science, 2018.
Learning Facial Action Units from Web Images with Scalable Weakly Supervised Clustering
K. Zhao, W.-S. Chu & A.M. Martinez
CVPR, 2018.
[Best paper honorable mention] GANimation: Anatomically-aware facial animation from a single image
A. Pumarola, A. Agudo, A.M. Martinez, A. Sanfeliu, F. Moreno-Noguer
ECCV, 2018
2017
A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image
R. Zhao, Y. Wang, A.M. Martinez
IEEE Transactions on Pattern Analysis and Machine Intelligence, in press.
Recognition of action units in the wild with deep nets and a new global-Local loss
C.F. Benitez-Quiroz, Y. Wang, A.M. Martinez
ICCV 2017
Visual perception of facial expressions of emotion
A.M. Martinez
Current Opinion in Psychology, 17:27-33, 2017
Computational Models of Face Perception
A.M. Martinez
Current Directions in Psychological Science, 2017
2016
Fast and Precise Face Alignment and 3D Shape Reconstruction from a Single 2D Image
R. Zhao, Y. Wang, C.F. Benitez-Quiroz, Y. Liu & A.M. Martinez
ECCV 2016 Workshops
EmotioNet: An accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild
C.F. Benitez-Quiroz, R. Srinivasan & A.M. Martinez
CVPR 2016
The Not Face: A grammaticalization of facial expressions of emotion
C.F. Benitez-Quiroz, R. Wilbur & A.M. Martinez
Cognition
A Neural Basis of Facial Action Recognition in Humans
R. Srinivasan, J.D. Golomb & A.M. Martinez
The Journal of Neuroscience
2015
Labeled Graph Kernel for Behavior Analysis
R. Zhao, A.M. Martinez
IEEE Transactions on Pattern Analysis and Machine Intelligence, in press
Multiple Ordinal Regression by Maximizing the Sum of Margins
O. Hamsici, A.M. Martinez
IEEE Transactions on Neural Networks and Learning Systems, in press
Compound Facial Expressions of Emotion: From basic research to clinical applications
S. Du, A.M. Martinez
Dialogues in Clinical Neuroscience, Vol. 17, No. 4, 2015
2014
Compound facial expressions of emotion
Shichuan Du, Yong Tao, Aleix M. Martinez
Proceedings of the National Academy of Sciences of the United States of America, 2014
Discriminant Features and Temporal Structure of Nonmanuals in American Sign Language
C.F. Benitez-Quiroz, K. Gokgoz, R.B. Wilbur, A.M. Martinez
Plos One, 2014 Project website
Multiobjective Optimization for Model Selection in Kernel Methods in Regression
D. You, C.F. Benitez-Quiroz, A.M. Martinez
IEEE Transactions on Neural Networks and Learning Systems, 2014
Minimizing Nearest Neighbor Classification Error for Nonparametric Dimensionality Reduction
W. Bian, T. Zhou, A.M. Martinez, G. Baciu, D. Tao
IEEE Transactions on Neural Networks and Learning Systems, 2014
2013
Salient and Non-salient Fiducial Detection Using a Probabilistic Graphical Model
C.F. Benitez-Quiroz, S. Rivera, P.F.U. Gotardo, A.M. Martinez
Pattern Recognition, 2013
Wait, are you sad or angry? Large exposure time differences required for the categorization of facial expressions of emotion
S. Du and A.M. Martinez
Journal of Vision, 13(4), 2013
2012
Learning Spatially-Smooth Mappings in Non-Rigid Structure from Motion
P.F.U. Gotardo, O.C. Hamsici and A.M. Martinez
Proc. 2012 European Conference on Computer Vision, Firenze, Italy, October 2012.
Automatic Selection of Eye Tracking Variables in Visual Categorization for Adults and Infants
Samuel Rivera, Catherine Best, Hyungwook Yim, Aleix Martinez, Vladimir Sloutsky, Dirk Walther
In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 2240-2245). Austin, TX: Cognitive Science Society. August 2012.
A Model of the Perception of Facial Expressions of Emotion by Humans: Research overview and perspectives
Aleix Martinez and Shichuan Du
Journal of Machine Learning Research, Vol. 13, pp.1589-1608, 2012.
Learning Deformable Shape Manifolds
Samuel Rivera, Aleix M. Martinez
Pattern Recognition, Vol. 45, No. 4, pp. 1792–1801, 2012.
2011
The Resolution of Facial Expressions of Emotion
Shichuan Du, Aleix M. Martinez
Journal of Vision, 11(13):24, 1–13, 2011.
Kernel Non-Rigid Structure from Motion
Paulo F.U. Gotardo, Aleix M. Martinez
Proc. 2011 IEEE International Conference on Computer Vision, November 2011.
Non-Rigid Structure from Motion with Complementary Rank-3 Spaces
Paulo F. U. Gotardo, Aleix M. Martinez
2011 IEEE Conference on Computer Vision and Pattern Recognition.
Computing Smooth Time-Trajectories for Camera and Deformable Shape in Structure from Motion with Occlusion
Paulo F. U. Gotardo, Aleix M. Martinez
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, No. 10, pp. 2051-2065, 2011.
Kernel Optimization in Discriminant Analysis
D. You, O. Hamsici and A.M. Martinez
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 33, 2011.
2010
Bayes Optimal Kernel Discriminant Analysis
D. You and A.M. Martinez
Proceedings of the IEEE Computer Vision and Pattern Recognition (CVPR), San Francisco (CA), 2010.
Face Recognition, Overview
A.M. Martinez
Encyclopedia of Biometrics, Springer, 1 edition (July 1, 2010) .
Face Recognition, Component-based
O.C. Hamsici and A.M. Martinez
Encyclopedia of Biometrics, Springer,1 edition (July 1, 2010) .
A Computational Shape-based Model of Anger and Sadness Justifies a Configural Representation of Faces
D. Neth and A.M. Martinez
Vision Research, in press
Features versus Context: An approach for precise and detailed detection and delineation of faces and facial features
L. Ding and A.M. Martinez
IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 99, 2010.
Rigid Structure from Motion from a Blind Source Separation Perspective
J. Fortuna and A.M. Martinez
International Journal of Computer Vision, Volume 88 , Issue 3 (July 2010)
2009
A Biologically
Inspired Model for the Simultaneous Recognition of Identity and Expression
D. Neth and A.M. Martinez
Biometrics: Theory, Methods, and Applications (Eds. N.V. Boulgouris, E.
Micheli-Tzanakou & K.N. Plataniotis), Wiley, 2009.
A study
of the missing data problems in 3D structure reconstruction and 2D face
recognition
Hongjun Jia (PhD dissertation)
The Ohio State University, ECE department, February 2009
Modelling and Recognition of Manuals and Non-Manuals in
American Sign Language
Liya Ding (PhD dissertation)
The Ohio State University, ECE department, March 2009
Active Appearance Models with Rotation Invariant Kernels
O.C. Hamsici and A.M. Martinez
Proceedings of IEEE International Conference on Computer Vision (ICCV), Kyoto (Japan), 2009
Rotation Invariant Kernels and Their
Application to Shape Analysis
O.C. Hamsici and A.M. Martinez
IEEE Transactions on Pattern Analysis and Machine Intelligence,Vol. 31, No. 11, pp. 1985-1999, 2009
Support Vector Machines in Face Recognition with Occlusions
H.
Jia and A.M. Martinez
Proceedings of the IEEE Computer Vision and Pattern Recognition (CVPR), Miami
(FL), 2009
Emotion Perception in Emotionless Face Images Suggests a Norm-based
Representation
D. Neth and A.M. Martinez
Journal of Vision, Volume 9, Number 1, Article 5, Pages 1-11, 2009
Low-Rank Matrix Fitting Based on Subspace
Perturbation Analysis with Applications to Structure from Motion
H. Jia and A.M. Martinez
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 4,
2009
Modelling and Recognition of the Linguistic
Components in American Sign Language
L. Ding and A.M. Martinez
Image and Vision Computing, Vol. 27, No. 12, pp. 1826-1844, 2009
2008
Bayes
Optimality in Classification, Feature Extraction and Shape Analysis
Onur \A0Hamsici
(PhD dissertation)
The Ohio State University, ECE department, March 2009
Can low level image differences account for the ability of human
observers to discriminate facial identity?
D.A. Wilbraham, J.C. Christensen, A.M. Martinez and
J.T. Todd
Journal of Vision, Volume 8, Number 15, Article 5, Pages 1-12, 2008
Who Is LB1? Discriminant Analysis for the
Classification of Specimens
A.M. Martinez and O.C. Hamsici
Pattern Recognition, Vol. 41, pp. 3436-3441, 2008
Using the information embedded in the
testing sample to break the limits caused by the small sample size in microarray-based
classification
M. Zhu and A.M. Martinez
BMC Bioinformatics, 9:280, 2008
Bayes Optimality in Linear Discriminant
Analysis
O.C. Hamsici and A.M. Martinez
IEEE Transactions on Pattern Analysis and Machine
Intelligence, Vol. 30, No. 4, pp. 647-657, 2008
Pruning Noisy Bases in Discriminant
Analysis
M. Zhu and A.M. Martinez
IEEE Transactions Neural Networks, Vol. 19, No. 1, pp. 148-157, 2008
Face Recognition with Occlusions in the Training and Testing Sets
H. Jia and A.M. Martinez
IEEE Proc. International Conference on Automatic Face and Gesture Recognition,
Amsterdam (The Netherlands), 2008.
Precise Detailed Detection of Faces and
Facial Features
L. Ding and A.M. Martinez
Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR), Anchorage
(AK), 2008
Emotion Perception in Neutral Expressions
A.M. Martinez and D. Neth
Annual Meeting of the Vision Science Society, Naples (FL), 2008
The Effect of Homeomorphic Image Transformations on Face Matching
Performance
D.A. Wilbraham, J.C. Christensen, J.T. Todd and A.M. Martinez
Annual Meeting of the Vision Science Society, Naples (FL), 2008
2007
Spherical-Homoscedastic Distributions: The equivalency of spherical and Normal distributions in classificationO. Hamsici and A.M. Martinez
Journal of Machine Learning Research, 8(Jul):1583-1623, 2007
Sparse
Kernels for Bayes Optimal Discriminant Analysis
O. Hamsici and A.M. Martinez
Proceedings of IEEE Computer Vision and Pattern Recognition, Workshop (CVPR),
Minneapolis (MN), 2007 [Best paper award]
Recovering
the Linguistic Components of the Manual Signs in American Sign Language
L. Ding and A.M. Martinez
Proceedings of IEEE Conference on Advanced Video and Signal-based Surveillance
(AVSS), London (UK), 2007
Human
face matching performance is robust to task-irrelevant image changes
D. Wilbraham, A.M. Martinez, J. Christensen, & J. Todd
Annual Meeting of the Vision Science Society, Sarasota (FL), 2007
Face
configuration biases the perception of facial expressions
A.M. Martinez & D. Neth
Annual Meeting of the Vision Science Society, Sarasota (FL), 2007
2006
Subclass
Discriminant Analysis
M. Zhu and A.M. Martinez
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 8,
pp. 1274-1286, 2006.
A
Weighted Probabilistic Approach to Face Recognition from Multiple Images and
Video Sequences
Y. Zhang and A.M. Martinez
Image and Vision Computing, Vol. 24, No. 6, pp. 626-638, 2006
Three-dimensional
Reconstruction of Shape and Motion for the Analysis of American Sign Language
L. Ding and A.M. Martinez
Proceedings of IEEE Computer Vision and Pattern Recognition, workshop
(CVPR), New York (NY), 2006
Selecting
Principal Components in a Two-Stage LDA Algorithm
M. Zhu and A.M. Martinez
Proceedings of the IEEE Computer Vision and Pattern Recognition conference
(CVPR), New York (NY), 2006
A
Blind Source Separation Approach to Structure from Motion
J. Fortuna and A.M. Martinez
Proceedings of the Third International Symposium on 3D Data Processing,
Visualization and Transmission, Chapel Hill (NC), 2006
Perturbation
Estimation of the Subspaces for Structure from Motion with Noisy and Missing
Data
H. Jia, J. Fortuna and A.M. Martinez
Proceedings of the Third International Symposium on 3D Data Processing,
Visualization and Transmission, Chapel Hill (NC), 2006
Can
low level image differences account for face discrimination performance?
A.M. Martinez, D. Wilbraham, J.T. Todd and T. Christensen
Meeting of the Vision Science Society, Sarasota (FL), 2006
The effects of
illumination and expression changes on the recognition of human faces
D. Wilbraham, A.M. Martinez, and J.T. Todd
Meeting of the Vision Science Society, Sarasota (FL), 2006
The Role of the Eigenvalue Decomposition
in Discriminant Analysis
M. Zhu (Ph.D. Dissertation)
OSU, ECE, June 2006
2005
Where Are Linear Feature Extraction Methods Applicable?A.M. Martinez and M. Zhu.
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 12, pp. 1934-1944, 2005.
Robust Motion Estimation under Varying Illumination
Y. Kim, A.M. Martinez and A.C. Kak.
Image and Vision Computing, vol. 23, no. 4, pp. 365-375, 2005.
Subset Modeling of Face Localization Error, Occlusion, and Expression
A.M. Martinez and Y. Zhang
In Face Processing: Advance Modeling and Methods (Eds. R. Chellappa & W.
Zhao), Academic Press, 2005.
Evaluation
of the Modeling of Local Areas and Errors of Localization in FRGC\9205
O. Hamsici and A.M. Martinez
Proceedings of IEEE Computer Vision and Pattern Recognition, workshop (CVPR),
2005
Human Recognition of Faces Across Changing Context Is
Not Dependent of Image Similarity
D. Willbraham (M.S. Dissertation)
OSU, Psychology, September 2005
Feature Extraction: The role of subclass divisions and
spherical representations
O. Hamsici (M.S. Dissertation)
OSU, ECE, August 2005
Face Analysis from Video
Y. Zhang (M.S. Dissertation)
OSU, ECE, March 2005
2004
On Combining Graph-Partitioning with Non-Parametric Clustering for Image SegmentationA.M. Martinez, P. Mittrapiyanuruk and A.C. Kak.
Computer Vision and Image Understanding, Vol. 95, No. 1, pp. 72-85, 2004
A Local
Approach for Robust Optical Flow Estimation under Varying Illumination
Y. Kim, A.M. Martinez and A.C. Kak
Proceedings of British Machine Vision Conference (BMVC), 2004
Recognition
of Expression Variant Faces Using Weighted Subspaces
Y. Zhang and A.M. Martinez
Proceedings of International Conference on Pattern Recognition (ICPR), 2004
Optimal
Subclass Discovery for Discriminant Analysis
M. Zhu and A.M. Martinez
Proceedings of IEEE Computer Vision and Pattern Recognition, workshop (CVPR),
2004
From
Static to Video: Face Recognition Using a Probabilistic Approach
Y. Zhang and A.M. Martinez
Proceedings of IEEE Computer Vision and Pattern Recognition, workshop (CVPR),
2004
2003
Matching Expression Variant FacesA.M. Martinez.
Vision Research, Vol. 43, Issue 9, pp. 1047-1060, 2003
Template-based
Recognition of Static Sitting Postures
M. Zhu, A.M. Martinez and H.Z. Tan
Proceedings of IEEE Computer Vision and Pattern Recognition, workshop (CVPR),
2003
Recognizing
Expression Variant Faces from a Single Sample Image per Class
A.M. Martinez
Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR), 2003
2002
Recognizing Imprecisely Localized, Partially Occluded and Expression Variant Faces from a Single Sample per ClassA.M. Martinez.
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 6, pp. 748-763, 2002
Purdue
ASL Database for the Recognition of American Sign Language
A.M. Martinez, R.B. Wilbur, R. Shay and A.C. Kak
Proceedings of IEEE International Conference on Multimodal Interfaces (ICMI),
2002
Physical Correlates of
Prosodic Structure in American Sign Language
R.B. Wilbur and A.M. Martinez,
Proceedings of the Chicago Linguistics Society (CLS), 2002
2001
Clustering in Image Space for Place Recognition and Visual Annotations for Human-robot InteractionA.M. Martinez and J. Vitria.
IEEE Transactions on System Man and Cybernetics B, Vol. 31, No. 5, pp. 669-682, 2001
PCA versus LDA
A.M. Martinez and A.C. Kak.
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 2, pp. 228-233, 2001
2000
Learning Mixture Models Using a Genetic Version of the EM AlgorithmA.M. Martinez and J. Vitria.
Pattern Recognition Letters 21 (2000) 759-769
A New Approach to Object-Related Image Retrieval
A.M. Martinez and J.R. Serra.
Journal of Visual Languages and Computing Vol.11, No. 3, pp. 345-363, 2000
Recognition of
Partially Occluded and/or Imprecisely Localized Faces Using a Probabilistic
Approach
A.M. Martinez
Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR), 2000
Semantic
Access of Frontal Face Images: The expression-invariant problem
A.M. Martinez
Proceedings of IEEE Workshop on Content-Based Access of Images and Video
Libraries, 2000
1999 and prior
Recognition in Early Visual Attention
A.M. Martinez
Proceedings of European Conference on Visual Perception (ECVP'99), 1999
Face
Image Retrieval Using HMMs
A.M. Martinez
Proceedings of IEEE CVPR'99 (Workshop on Content-Based Access of Images and
Video Libraries), 1999
Semantic
Access to a Database of Images: An approach to object-related image retrieval
A.M. Martinez and J.R. Serra.
Proceedings of IEEE Multimedia Systems (ICMCS'99), 1999
Dimensionality Reduction for Face Recognition
A.M. Martinez and J. Vitria.
In Advances in Visual Form Analysis
C.Arcelli, L.P.Cordella and G.Sanniti (Eds.)
World Scientific, 1997