Machine Perception Laboratory

Publications

2014

  • Jacob Whitehill, Zewelanji Serpell, Yi-Ching Lin, Aysha Foster, and Javier Movellan, “The Faces of Engagement: Automatic Recognition of Student Engagement from Facial Expressions”, accepted to Transactions on Affective Computing, 2014. (Copyright (c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.)
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  • J. R. M. M. Malmir and D. Forester. Hri as a tool to monitor socio-emotional developoment in early childhood education. In IEEE International Conference on Human Robot Interaction, 2014.
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  • J. Whitehill, M. S. Bartlett, and J. R. Movellan. Automatic facial expression recognition. In J. Gratch and S. Marsella, editors, Social Emotions in Nature and Artifact. Oxford University Press, 2014.
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In 2013, most of the lab took sabbatical to startup Emotient. Wish us luck!

  • W. Talbott, T. Wu, and J. R. Movellan. Estimating dynamic properties of objects from appearance. In Proceedings of the IEEE International Conferenced on Development and Learning, Osaka, Japan, August 2013. IEEE.
  • M.Malmir, D. Forster, K.Youngstrom, L. Morrison, and J. Movellan. Home alone: Social robots for digital ethnography of toddler behavior. In Proceedings of the IEEE International Conference on Computer Vision, 2013.
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  • T. Wu, Y. Tassa, J. Movellan, and E. Todorov. Stac: Simultaneous tracking and calibration. In IEEE- RAS International Conference on Humanoid Robots, Atlanta, Georgia, 2013. IEEE.

2012

  • Tanaka JW, Kantner J and Bartlett M (2012) How category structure influences the perception of object similarity: The atypicality bias. Front. Psychology 3:147.
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  • Deriso D, Susskind J, Tanaka J, Winkielman P, HerringtonJ, Schultz R, and Bartlett M (2012). Exploring the Facial Expression Perception-Production Link Using Real-time Automated Facial Expression Recognition. In A Fitzgibbon, S Lazebnik, Y Sato, and C Schmid (Eds), European Conference on Computer Vision, Workshop on What’s in a Face. Lecture Notes in Computer Science, Springer.
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  • Sikka K, Wu T, Susskind J, and Bartlett M (2012). Exploring Bag of Words Architectures In the facial expression domain. In A Fitzgibbon, S Lazebnik, Y Sato, and C Schmid (Eds), European Conference on Computer Vision, Workshop on What’s in a Face. Lecture Notes in Computer Science, Springer.
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  • Wu T, Butko NJ, Ruvolo P, Whitehill J, Bartlett MS, Movellan JR (2012). Multi-Layer Architectures for Facial Action Unit Recognition. IEEE Transactions on Systems, Man and Cybernetics — Part B (TSMC-B).
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  • Ruvolo P., Wu T., and Movellan J. R. “Control By Gradient Collocation: Applications to Optimal Obstacle Avoidance and Minimum Torque Control.”, IEEE Proceedings on Intelligent Robotics and Systems. 2012.
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  • Movellan J. R. “Minimum Angular Acceleration of Articulated Body Dynamics”, IEEE Proceedings on Intelligent Robotics and Systems. 2012.
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  • T. Wu and Movellan J. R. “Semi-parametric Gaussian process for robot system identification”, IEEE Proceedings on Intelligent Robotics and Systems. 2012.
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2011

  • Whitehill, J., Serpell, Z., Foster, A., Lin, Y.C., Pearson, B., Barlett, M., et al. (2011). Toward an Optimal Affect-Sensitive Instructional System of Cognitive Skills. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop on Human Communicative Behavior, (pp. 20 – 25).
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  • Littlewort G, Whitehill J, Wu T, Fasel I, Frank M, Movellan J, and Bartlett M (2011) The Computer Expression Recognition Toolbox (CERT). Proc. IEEE International Conference on Automatic Face and Gesture Recognition.
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  • Littlewort GC, Salamanca LP, Reilly JS, and Bartlett MS (2011). Automated measurement of children’s facial expressions during problem solving tasks. Proc. IEEE International Conference on Automatic Face and Gesture Recognition.
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  • Gwen Littlewort, Jacob Whitehill, Tingfan Wu, Nicholas J. Butko, Paul Ruvolo, Javier R. Movellan, Marian S. Bartlett, “The motion in emotion, a CERT based approach to FERA emotion challenge”, IEEE International Conference on Automatic Face and Gesture Recognition, Workshop on Facial Expression Recognition Analysis Challenge, 2011.
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  • Tingfan Wu, Nicholas J. Butko, Paul Ruvolo, Jacob Whitehill, Marian S. Bartlett, Javier R. Movellan, “Action Unit Recognition Transfer Across Datasets”, IEEE International Conference on Automatic Face and Gesture Recognition Face and Gesture, Workshop on Facial Expression Recognition Analysis Challenge, 2011.
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  • Alac M., Movellan J. and Tanaka F. “When a robot is social: spatial arrangements and multimodal semiotic engagement in the practice of social robotics.” , Social Studies of Science, 41, 6, 893-926, 2011.
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  • J. Artigas and W. Mattson and D. Messinger and P. Ruvolo and T. Wu T. and J. R. Movellan “Rethinking Motor Development and Learning.” , IEEE 2011 International Conference on Development and Learning, doi: 10.3389/conf.fncom.2011.52.00012.
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  • Movellan J.R. “Warning: The author of this document may have no mental states. Read at your own risk.” , Interaction Studies, 11, 2, 238-245, 2011.
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  • Whitehill, J., Serpell, Z., Foster, A., Lin, Y.C., Pearson, B., Bartlett, M., and Movellan, J., “Towards an Optimal Affect-Sensitive Instructional System of Cognitive Skills”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop on Human Communicative Behavior. 2011.
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  • Butko, N.J., Theocharous, G., Philipose, M., Movellan, J.R., “Automated facial affect analysis for one-on-one tutoring applications.” Proceedings of the 9th IEEE Conference on Automatic Face and Gesture Recognition. 2011.
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  • Littlewort, G., Whitehill, J., Wu, T., Fasel, I.R., Frank, M., Movellan, J.R., Bartlett, M.S., “The Computer Expression Recognition Toolbox (CERT).” Proceedings of the 9th IEEE Conference on Automatic Face and Gesture Recognition. 2011.
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  • Littlewort, G., Bartlett, M.S., Salamanca, L.P., Reilly, J. “Automated measurement of children’s facial expressions during problem solving tasks.” Proceedings of the 9th IEEE Conference on Automatic Face and Gesture Recognition. 2011.
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  • Wu, T., Butko, N.J., Ruvolo, P. Whitehill, J. Bartlett, M.S., Movellan, J.R. “Action Unit Recognition Transfer Across Datasets.” Proceedings of the 9th IEEE Conference on Automatic Face and Gesture Recognition, Workshop on Facial Expression Recognition and Analysis Challenge. 2011.
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  • Littlewort, G., Whitehill, J., Wu, T., Butko, N.J., Ruvolo, P., Movellan, J.R., Bartlett, M.S. “The motion in emotion – a CERT based approach to the FERA emotion challenge.” Proceedings of the 9th IEEE Conference on Automatic Face and Gesture Recognition, Workshop on Facial Expression Recognition and Analysis Challenge. 2011.
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2010

  • Butko, N.J., “Active Perception.” Ph. D. Thesis, UCSD department of Cognitive Science, 2010.

    Awarded UC San Diego’s 2011 Jean Fort Dissertation prize for “unusual intellectual breadth whose doctoral research has met the highest standards of academic excellence and may make a significant contribution on an issue of humanitarian or public concern.”

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    Precis: [2 pages] [7 pages]
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  • Butko, N.J., Movellan, J.R. “Infomax Control of Eye Movements.” IEEE Transactions on Autonomous Mental Development, 2(2):91-107. 2010.
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  • Butko, N.J., Movellan, J.R. “Detecting Contingencies: An infomax approach.” Neural Networks 23:973-984. 2010.
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  • Stephen Grossberg and Andrew N. Meltzoff and Javier R. Movellan and Nora Newcombe “Social Cognition: From Babies to Robots: 2010 Neural Networks Special Issue.” Neural Networks 23: 2010.
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  • Paul Ruvolo and Ian Fasel and Javier R. Movellan “A Learning Approach to Hierarchical Feature Selection and Aggregation for audio classification.”, “Pattern Recognition Letters”, 31, 2010.
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  • Paul Ruvolo and Javier R. Movellan “An Alternative to Low-Level-Synchrony-Based Methods for Speech Detection.”, “NIPS”,, 2010.
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  • Butko, N.J., Movellan, J.R. “Learning to Look.” Proceedings of the 2010 IEEE International Conference on Development and Learning, 70-75. 2010.
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  • Marks, T. Hershey, J. Movellan, J. (2010). Tracking Motion, Deformation, and Texture using Conditionally Gaussian Processes. Transactions on Pattern Analysis and Machine Intelligence. 32,2,348-363
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    Supplemental Material

2009

  • Micah Eckhardt, Ian Fasel, Javier R. Movellan,” Towards Practical Facial Feature Detection”, International Journal of Pattern Recognition and Artificial Intelligence, 23,3, 379-400, 2009
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  • Tingfan Wu, Nicholas J. Butko, Paul Ruvulo, Marian S. Bartlett, Javier R. Movellan, “Learning to Make Facial Expressions,” International Conference on Developmental Learning (ICDL) 2009.
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  • A. Meltzoff, P. Kuhl, J. R. Movellan, T. Sejnowski “Foundations for a New Science of Learning”, Science, 235,5938, 284-288, 2009.
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  • Nicholas J. Butko, Javier R. Movellan, “Optimal Scanning for Faster Object Detection”, Computer Vision and Pattern Recognition (CVPR) 2009.
    Demo: Comparison of MIPOMDP Retina + Active Search to Full-Frame Viola Jones. [Right-click to save]
    Source Code: Download source code for visual search software.
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    Poster
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  • Paul Ruvolo, Ian R. Fasel, Javier R. Movellan, “Optimization on a Budget: A Reinforcement Learning Approach” Advances in Neural Information Processing Systems, In Press (2009)
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  • J. R. Movellan, M. Eckhardt, M. Virnes, A. Rodriguez (2009) Sociable Robot Improves Toddler Vocabulary Skills. Proceedings of the International Conference on Human Robot Interaction, HRI2009.
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  • Gwen C. Littlewort, Marian Stewart Bartlett, Kang Lee, “Automatic Coding of Facial Expressions Displayed During Posed and Genuine Pain” Image and Vision Computing , In Press (2009)
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  • Jacob Whitehill, Gwen Littlewort, Ian Fasel, Marian Bartlett, and Javier Movellan (2009). Towards Practical Smile Detection. Transactions on Pattern Analysis and Machine Intelligence.
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  • Jacob Whitehill, Paul Ruvolo, Tingfan Wu, Jacob Bergsma, and Javier Movellan (2009). Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise. Advances in Neural Information Processing Systems.
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2008

  • Movellan, J. R. (in press). Contrastive Divergence in Gaussian Diffusions. Neural Computation. Volume 20, Number 9, 2238-2252.
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  • Littlewort, Bartlett, & Lee (in press). Automatic coding of Facial Expressions displayed during Posed and Genuine Pain. Image and Vision Computing

  • Bartlett, M. Littlewort, G. Vural, E., Lee, K., Cetin, M., Ercil, A., and Movellan, M. (2008). Data mining spontaneous facial behavior with automatic expression coding. Lecture Notes in Computer Science 5042, p. 1-21.
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  • Vural, E., Cetin, M., Ercil, A., Littlewort, G., Bartlett, M., and Movellan, J. (2008). Automated Drowsiness Detection For Improved Driving Safety. Proc. 4th international conference on automotive technologies. Istanbul.
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  • Cockburn, J., Bartlett, M., Tanaka, J., Movellan, J., Pierce, M., and Schultz, R. (2008). SmileMaze: A Tutoring System in Real-Time Facial Expression Perception and Production for Children with Autism Spectrum Disorder. Intl Conference on Automatic Face and Gesture Recognition, Workshop on Facial and Bodily expressions for Control and Adaptation of Games.
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  • Nicholas J. Butko, Lingyun Zhang, Garrison W. Cottrell, and Javier R. Movellan, “Visual Saliency Model for Robot Cameras”, Proceedings of the 2008 IEEE International Conference on Robotics and Automation (ICRA), pp. 2398–2403, Pasadena, CA, USA, May 19–23, 2008
    Demo 1: Online Saliency Computation Drives a Robotic Camera in Real Time. [Right-click to save]
    Demo 2: Offline Saliency Computation Proceeds Faster than Real Time. [Right-click to save]
    Source Code: Download source code for salience software.
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  • Nicholas J. Butko and Javier R. Movellan, “I-POMDP: An Infomax Model of Eye Movement”, Proceedings of the 2008 IEEE International Conference on Development and Learning (ICDL), August 9–12, 2008
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  • Ruvolo, P. and Movellan, J. R. Automatic Cry Detection in Early Childhood Education Settings. International Conference on Development and Learning.
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  • Ruvolo, P., Whitehill, J., Virnes, M., and Movellan, J. R. Building a More Effective Teaching Robot Using Apprenticeship Learning. International Conference on Development and Learning.
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  • Ruvolo, P., Fasel, I., and Movellan, J. R. Auditory Mood Detection for Social and Educational Robots. IEEE International Conference on Robotics and Automation.
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  • Whitehill, J., Bartlett, M.S., and Movellan, J.R. Measuring the Difficulty of a Lecture
    Using Automatic Facial Expression Recognition. Proceedings of the International Conference on Intelligent Tutoring Systems 2008 (short paper).
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  • Whitehill, J., Bartlett, M.S., and Movellan, J.R. Automatic Facial Expression Recognition for Intelligent Tutoring Systems. CVPR 2008 Workshop on Human Communicative Behavior Analysis.
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  • Whitehill, J. and Movellan, J.R. Personalized Facial Attractiveness Prediction. Proceedings of the International Conference on Face and Gesture Recognition 2008.
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  • Whitehill, J. and Movellan, J.R. A Discriminative Approach to Frame-by-Frame Head Pose Tracking. Proceedings of the International Conference on Face and Gesture Recognition 2008.
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  • Morency, L.P., Whitehill, J., and Movellan, J.R. Generalized Adaptive View-based Appearance Model: Integrated Framework for Monocular Head Pose Estimation. Proceedings of the International Conference on Face and Gesture Recognition 2008. Download

2007

  • Nicholas J. Butko, Javier R. Movellan, “Learning to Learn”, Proceedings of the International Conference on Development and Learning (ICDL) 2007.
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  • Tanaka F., Cicourel, A. and Movellan, J. R. (2007). Socialization Between Toddlers and Robots at an Early Childhood Education Center. Proceedings of the National Academy of Science. Vol 194, No 46, 17954 x17958.
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  • Bartlett, M.S. (in press). Information maximization in face processing. Neurocomputing. Special Issue on Development and Learning.
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  • Deak, G., Bartlett, M., and Jebara, T. (in press). New trends in integrative cognitive science: Approaches to development and learning. Neurocomputing. Special Issue on Development and Learning.
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  • Vural, E., Cetin, M., Ercil, A., Littlewort G., Bartlett, M. S. and Movellan, J. R. (2007). Drowsy Driver Detection Through Facial Movement Analysis. ICCV 2007.
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  • M.R. Eckhardt, I.R. Fasel and J.R. Movellan,.(under review). Towards Practical Facial Feature Detection. (comments welcome)
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2006

  • Bartlett, M.S., Littlewort, G., Frank, M.G., Lainscsek,C., Fasel, I., Movellan, J.R., Automatic Recognition of Facial Actions in Spontaneous Expressions. Journal of Multimedia
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  • Bartlett, M.S., Littlewort, G.C., Lainscsek, C., Fasel, I., Frank, M.G., Movellan, J.R. (2006). Fully automatic facial action recognition in spontaneous behavior. 7th International Conference on Automatic Face and Gesture Recognition, p. 223-228.
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  • Bosworth, R.G., Bartlett, M. S., and Dobkins, K. R., Image Statistics of American Sign Language: Comparison to Faces and Natural Scenes. Journal of the Optical Society of America A.
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  • Fasel, I.R. (2006). Learning Real-Time Object Detectors: Probabilistic Generative Approaches. Doctoral dissertation, Department of Cognitive Science, University of California, San Diego.
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  • Littlewort, G., Bartlett, M., Fasel, I., Susskind, J., and Movellan, J. (2006). An automatic system for measuring facial expression in video. Computer Vision and Image Understanding, Special Issue on Face Processing in Video. 24(6) p. 615-625.
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  • Marks, T.K. (2006). Facing Uncertainty: 3D Face Tracking and Learning with Generative Models. Doctoral dissertation, Department of Cognitive Science, University of California, San Diego
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  • Susskind, J.M., Littlewort, G.C., Bartlett, M.S., Movellan, J.R., and Anderson, A.K.. Human and Computer Recognition of Facial Expressions of Emotion. Neuropsychologia.
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  • Tanaka, F. and J.R. Movellan(2006). The RUBI Project: Designing Everyday Robots by Immersion. Fifth International Conference on Development and Learning (ICDL)Bloomington, U.S.A., June 2006.

  • Tanaka, F. and J.R. Movellan (2006). Behavior Analysis of Children’s Touch on a Small Humanoid Robot: Long-term Observation at a Daily Classroom over Three Months. Proceedings of the 15th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), in press Hatfield, United Kingdom, September 2006.

  • Tanaka, F., J. R. Movellan, B. Fortenberry, and K. Aisaka (2006). Daily HRI evaluation at a classroom environment: Reports from dance interaction experiments. In Proceedings of the 2006 Conference on Human-Robot Interaction (HRI), Salt Lake City, 2006.
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  • N. Butko, I. R. Fasel, and J. R. Movellan (2006) Learning about humans during the first 6 minutes of life. Abstract Only. In Proceedings of the 2006 IEEE International Conference on Development and Learning.
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2005

  • Bartlett, M.S., Littlewort, G., Frank, M.G., Lainscsek, C., Fasel, I., and Movellan, J. (2005). Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior. IEEE International Conference on Computer Vision and Pattern Recognition. p. 568-573.
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  • Bartlett, M.S., Movellan, J.R. and Sejnowski, T.J. (2005). Face modeling by information maximization. Invited chapter in Face Processing: Advanced Modeling and Methods. R. Chellappa and W. Zhao, Eds., Academic Press.
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  • Bartlett, M.S., Movellan, J.R., Littlewort, G.C., Braathen, B., Frank, M.G., & Sejnowski, T.J. (2005). Towards automatic recognition of spontaneous facial actions. Afterword by J.R. Movellan and M.S. Bartlett: The next generation of automatic facial expression measurement. In P. Ekman (Ed.), What the Face Reveals, 2nd Edition, Oxford University Press, p. 393-426.
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  • MPT, the machine perception toolbox. If you use it, please cite those below:Fasel, Ian, Bret Fortenberry, and J. R. Movellan. A generative framework for boosting with applications to real-time eye coding. Computer Vision and Image Understanding, 2005.
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  • Ian Fasel, Bret Fortenberry, and J. R. Movellan. A generative framework for real-time object detection and classification. Computer Vision and Image Understanding, 98, 2005.
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  • Fasel, Ian and Javier R Movellan. Weakly-supervised robust, real-time object detection and localization. In NIPS Workshop on Automatic Discovery of Object Categories, Whistler, BC, December 2005.

  • Marks, T.K., Hershey, J., Roddey, J.C., and Movellan, J.R. (2005) Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters. Advances in Neural Information Processing Systems. Volume 17. MIT Press.
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  • Movellan, J.R. (2005). An infomax controller for real time detection of contingency. In Proceedings of the International Conference on Development and Learning (ICDL05), Osaka, Japan, 2005.
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  • Movellan, J.R., F. Tanaka, B. Fortenberry, and K. Aisaka. (2005). The RUBI project: Origins, principles and first steps. In Proceedings of the International Conference on Development and Learning (ICDL05), Osaka, Japan, 2005.

  • Tanaka, F., B. Fortenberry, K. Aisaka, and J. R. Movellan (2005). Plans for developing real-time dance interaction between qrio and toddlers in a classroom environment. In Proceedings of the International Conference on Development and Learning (ICDL05), Osaka, Japan, 2005.

  • Tanaka, F., B. Fortenberry, K. Aisaka and J.R. Movellan (2005).Developing Dance Interaction between QRIO and Toddlers in a Classroom Environment: Plans for the First Steps.Proceedings of the 2005 IEEE International Workshop on Robot and Human Interactive Communication (RO-MAN), p.223-228 Nashville, U.S.A., August 2005. (Best Paper Award).

2004

  • Bartlett, M., Littlewort, G. Lainscsek, C., Fasel, I., and Movellan, J. (2004). Machine learning methods for fully automatic recognition of facial expressions and facial actions. In IEEE International Conference on Systems, Man & Cybernetics, The Hague, Netherlands, October 2004. p. 592-597
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  • Littlewort, G., Bartlett, M., Fasel, I., Susskind, J., and Movellan, J. (2004). Dynamics of facial expression extracted automatically from video. In IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Face Processing in Video, 2004.

  • Littlewort, G.C., Bartlett, M.S., Chenu, J., Fasel, I., Kanda, T., Ishiguro,H., & Movellan, J.R. (2004). Towards social robots: Automatic evaluation of human-robot interaction by face detection and expression classification. In S. Thrun & L. Saul & B. Schoelkopf, (Eds.) Advances in Neural Information Processing Systems, Vol 16. pg 1563-1570, MIT Press.

  • Littlewort G., Marian Stewart Bartlett, Ian Fasel, Joel Chenu, and Javier R. Movellan. Analysis of machine learning methods for real-time recognition of facial expressions from video. Computer Vision and Pattern Recognition, 2004 (Face Processing Workshop).

  • Marks, T.K., Hershey, J., Roddey, J.C., and Movellan, J.R. (2004) 3D Tracking of Morphable Objects Using Conditionally Gaussian Nonlinear Filters. IEEE Conf. Computer Vision and Pattern Recognition, 2004.

  • Movellan, J. R., J. Hershey, and J. Susskind (2004). Large scale convolutional HMMs for real time video tracking. Computer Vision and Pattern Recognition.

  • Takayuki Kanda, Nicolas Miralles, Masayuki Shiomi, Takahiro Miyashita, Ian Fasel, Javier R. Movellan, and Hiroshi Ishiguro. Face-to-face interactive humanoid robot. IEEE 2004 International Conference on Robotics and Automation, 2004.

2003

  • Bartlett, M.S., Littlewort, G., Braathen, B., Sejnowski, T.J., & Movellan, J.R. (2003). A prototype for automatic recognition of spontaneous facial actions. In S. Becker & S. Thrun & K. Obermayer, (Eds.) Advances in Neural Information Processing Systems, Vol 15, p. 1271-1278, MIT Press.
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  • Bartlett, M.S., Braathen, B., Littlewort, G., Smith, E., Movellan, J.R.. An approach to automatic recognition of spontaneous facial actions. In Advances in Neural Information Processing Systems, 4 number 15. MIT Press, Cambridge, Massachusetts, 2003.
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  • Bartlett, M.S., Littlewort, G., Fasel, I., Movellan, J.R. (2003). Real time face detection and expression recognition: Development and application to human-computer interaction. CVPR Workshop on Computer Vision and Pattern Recognition for Human-Computer Interaction.
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  • Bartlett, M.S., J. R. Movellan, G. Littlewort, B. Braathen, Frank M. G., and T. J. Sejnowski. Towards automatic recognition of spontaneous facial actions. In Paul Ekman, editor, What the Face Reveals. Oxford University Press, 2003.
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  • Bosworth, R. G., Wright, C. E., Bartlett, M. S., Corina, D. P., and Dobkins, K. R. Characterization of visual properties of spatial frequency and speed in American Sign Language (2003). In A. E. Baker, B. van den Bogaerde, & O. Crasborn (Eds), Cross-Linguistic Perspectives in Sign Language Research: Selected Papers from TISLR 2000. Hamburg: Signum Press. pg. 265-282
    Abstract
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  • Bartlett, M.S., G. Littlewort, I. Fasel, and J. R. Movellan. Real time recognition of facial expressions: Development and applications to human computer interaction. In Computer Vision and Pattern Recognition. 2003.
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  • Cole, R., van Vuure, S., Pellom, B., Hacioglu, K., Ma, J., Movellan, J., Schwartz, S., Wade-Stein, D., Ward, W., and Yang, J. (2003). Perceptive animated interfaces: First steps toward a new paradigm for human computer interaction. Proceedings of the IEEE, Special Issue on Human Computer Multimodal Interfaces, 91(9):1391 x1405.
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  • Draper, J., Baek, K., Bartlett, M.S., & Beveridge, J.R. (2003). Recognizing faces with PCA and ICA. Computer vision and image understanding 91: Special issue on Face Recognition,p. 115-137.
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  • Marks, T.K., Roddey, J.C., Hershey, J., and Movellan, J.R. Determining 3D Face Structure from Video Images using G-Flow. Demo, Neural Information Processing Systems 16 (NIPS 2003).

  • Marks, T.K., Roddey, J.C., Hershey, J., and Movellan, J.R. G-Flow: a Generative Framework for Nonrigid 3D tracking. Proceedings of 10th Joint Symposium on Neural Computation, 2003.

  • Movellan, Javier, Ian Fasel, and Hiroshi Ishiguro. ATRV-I: a dataset for development and evaluation of pose estimation and expression recognition systems. In Proceedings of the X Joint Symposium Neural Computation, Irvine, CA, 2003.

  • Movellan, J.R., Marks, T.K., Hershey, J., and Roddey, J.C. Gflow: A Generative Model for Tracking Morphable Objects. DARPA Human ID Workshop, September 29 x30, 2003.
  • Movellan, J. R., T. Wachtler, T. D. Albright, and T. Sejnowski (2003). Morton-style factorial coding of color in primary visual cortex. In Advances in Neural Information Processing Systems, number 15. MIT Press, Cambridge, Massachusetts.

  • Odelia Schwartz, Javier R. Movellan, Thomas Wachtler, Thomas D, and Terrence J. Sejnowski. Spike count distributions, factorability, and contextual e?ects in area V1. In Proceedigns Computational Neuroscience. 2003.
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2002

  • Movellan, J.R., Mineiro, P. & Williams R. J.. (2002). A Monte Carlo EM Approach for Partially Observable Diffusion Processes: Theory and Applications to Neural Networks . Neural Computation 14(7) p. 1507-1544.
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  • Bartlett, M.S., Movellan, J.R., & Sejnowski, T.J. (2002). Face recognition by independent component analysis. IEEE Transactions on Neural Networks 13(6) p. 1450-64.
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  • Braathen, B., Bartlett, M.S., Littlewort-Ford, G., Smith, E. and Movellan, J.R. (2002). An approach to automatic recognition of spontaneous facial actions. Fifth International Conference on automatic face and gesture recognition.
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  • Fasel, I., Bartlett, M.S., Movellan, J.R.. (2002). A comparison of Gabor filter methods for automatic detection of facial landmarks. Fifth International Conference on automatic face and gesture recognition.
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  • Fasel, I., Movellan, J.R.. Comparison of neurally inspired face detection algorithms. In Proceedings of the international conference on artificial neural networks (ICANN 2002). UAM, 2002.
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  • Fasel, I., Bartlett, M.S., Littelwort, G. and Movellan, J.R.. Real time fully automatic coding of facial expressions from video. In Proceedings of the 9th Symposium on Neural Computation. California Institute of Technology, May 2002.

  • Fasel, I., and Movellan, J.R.. Object detection as a Markov decision process. In Proceedings of the 9th Symposium on Neural Computation. California Institute of Technology, May 2002.

  • Fasel, I., Deak, G.O., Triesch, J., and Movellan, J.R.. Combining embodied models and empirical research for understanding the development of shared attention. In Proceedings of the second international conference on development and learning (ICDL02). MIT, 2002.
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  • Littlewort, G., Bartlett, M.S., Fasel, I., Chenu, J., Takayuki K., Hiroshi I., and Movellan, J.R.. Towards social robots: Automatic evaluation of human-robot interaction by face detection and expression classification. In Advances in Neural Information Processing Systems. MIT Press, Cambridge, Massachusetts, in press.
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  • Littlewort, G., Bartlett, M.S., Fasel, I., Chenu, J., and Movellan, J.R.. Analysis of machine learning methods for real-time recognition of facial expressions from video. Computer Vision and Pattern Recognition, under review.
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  • Takayuki Kanda, Nicolas Miralles, Masayuki Shiomi, Takahiro Miyashita, Ian Fasel, Javier R. Movellan, and Hiroshi Ishiguro. Face-to-face interactive humanoid robot. International Conference on Robotics and Automation, under review.
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  • Movellan, J.R., Hershey, J., and Susskind, J.. Large scale convolutional HMMs for real time video tracking. Computer Vision and Pattern Recognition, under review.
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  • J. R. Movellan, J. Hershey, T. K. Marks, and C. Roddey. G-flow: A generative model for fast tracking using 3D deformable models. Computer Vision and Pattern Recognition, under review.
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  • Littlewort, G.C., Bartlett, M.S., Chenu, J., Fasel, I., Kanda, T., Ishiguro,H., & Movellan, J.R. (in press). Towards social robots: Automatic evaluation of human-robot interaction by face detection and expression classification. In S. Thrun & B. Schoelkopf, (Eds.) Advances in Neural Information Processing Systems, Vol 16. MIT Press.
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  • Bartlett, M.S., Movellan, J.R., Littlewort, G.C., Braathen, B., Frank, M.G., & Sejnowski, T.J. (in press). Towards automatic recognition of spontaneous facial actions. Afterword by J.R. Movellan and M.S. Bartlett: The next generation of automatic facial expression measurement. In P. Ekman (Ed.), What the Face Reveals, 2nd Edition, Oxford University Press.
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2001

  • Bartlett, M.S., Braathen, B., Littlewort, G., Sejnowski, T.J., and Movellan, J.R. (2001). A comparative study of alternative FACS coding algorithms. MPLAB-TR-2001-06, Institute for Neural Computation, University of California, San Diego.
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  • Marks T.K. and Movellan, J.R. (2001). Diffusion Networks, Product of Experts and Factor Analysis.Proceedings of the 3rd International Conference on Independent Component Analysis and Blind Signal Separation, San Diego.
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    Bibtex

  • Braathen, B., Bartlett, M.S., Littlewort, G., and Movellan, J.R. (2001). First Steps Towards automatic recognition of spontaneous facial action units. Proceedings of the ACM Comference on Perceptual User Interfaces.
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  • Braathen, B., Bartlett, M.S., and Movellan, J.R. (2001). 3-D head pose estimation from video by stochastic particle filtering. Proceedings of the 8th Annual Joint Symposium on Neural Computation.
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  • Littlewort, G., Bartlett, M.S., and Movellan, J.R. (2001). Are your eyes smiling? Detecting genuine smiles with support vector machines and Gabor wavelets. Proceedings of the 8th Annual Joint Symposium on Neural Computation.
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  • Smith, E., Bartlett, M.S., and Movellan, J.R. (2001). Computer recognition of facial actions: A study of co-articulation effects. Proceedings of the 8th Annual Joint Symposium on Neural Computation.
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The 20th Century

  • Hershey, J. and Movellan, J. R. (1999) Audio-Vision: Using Audiovisual Synchrony to Locate Sounds. in Solla, Leen and Mullre, Advances in Neural Information Processing. MIT Press.
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  • Movellan, J. R. and Mineiro P. (1998) Robust Sensor Fusion: Analysis and Application to Audio Visual Speech Recognition. Machine Learning, 32, 85-100.
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  • Movellan, J. R. (1998) A Learning Theorem for Networks at Detailed Stochastic Equilibrium. Neural Computation, 10, 5,1157-1178.
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    Bibtex

  • Mineiro P. Movellan J. R. and Williams, R .J.(1998) Learning Path Distributions Using Nonequilibrium Diffusion Networks. Advances in Neural Information Processing Systems, 598-604, Morgan Kauffman.
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  • Movellan, J. R. (1994) Visual Speech Recognition with Stochastic Networks. In G. Tesauro and D. Touretzky and T. Lean: Advances in Nerual Information Processing Systems, Morgan Kauffman Press.
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  • Movellan, J. R. (1994) A Local Algorithm to Learn Trajectories with Stochastic Neural Networks. In G. Tesauro and D. Touretzky and T. Lean: Advances in Nerual Information Processing Systems, Morgan Kauffman Press.
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  • Kruschke J. and Movellan, J. R. (1991) Benefits of Gain: Speeded Learning and Minimal Hidden Layers in Backpropagation Networks. IEEE Transactions on Systems, Man, and Cybernetics, 21, 273-280.
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  • Movellan, J. R. (1990) Contrastive Hebbian Learning in the Continuous Hopfield Model. Proceedings of the 1990 Connectionist Model School, Morgan Kauffman Press, San Mateo, Ca, 10–17.
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