Publications

2017

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 classification
O. 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 Segmentation
A.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 Faces
A.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 Class
A.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 Interaction
A.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 Algorithm
A.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