Publications

Segmental Boltzmann Fields, and Visual and Audio Object Category Discovery

Ian R. Fasel and Javier R. Movellan, “Segmental Bolzmann Fields” (in prep)

Paul Ruvolo, Ian R. Fasel and Javier R. Movellan, Spatio-Temporal Box Filters for Robust Real-Time Recognition of Audio Categories, ICRA, 2008

Ian R. Fasel, Learning to Detect Objects in Real-Time: Probabilistic Generative Approaches, PhD thesis, UCSD, June 2006 (pdf)

Ian R. Fasel and Javier R. Movellan, Weakly-supervised robust, real-time object detection and localization., in: NIPS Workshop on Automatic Discovery of Object Categories, December 2005 (pdf)

Developmental Robotics

Ian R. Fasel, Nicholas Butko and Javier R. Movellan, Modeling the Embodiment of Early Social Development and Social Interaction: Learning about Human Faces During the First Six Minutes of Life, in: Society for Research in Child Development Biennial Meeting, 2007 (pdf)

N. J. Butko, I. Fasel and J. R. Movellan, Learning about Humans during the First 6 Minutes of Life, in: International Conference on Development and Learning, Indiana, 2006

Ian R Fasel, Gedeon O Deak, Jochen Triesch and Javier Movellan, Combining Embodied Models and Empirical Research for Understanding the Development of Shared Attention, in: Proceedings of the 2nd International Conference on Development and Learning, 2002 (pdf)

G. O. Deak, I. R. Fasel and J. R. Movellan, The emergence of shared attention: using robots to test developmental theories, in: Balkenius, (ed.), Proceedings of the first international workshop on epigenetic robotics: modeling cognitive development, pp. 95–104. Lund University Cognitive Studies, Lund, Sweden, 2001 (pdf)

Human-Robot and Human-Computer Interaction

Fabio Dalla Libera, Takashi Minato, Ian Fasel, Hiroshi Ishiguro, Emanuele Menegatti, and Enrico Pagello. Teaching by touching: an intuitive method for development of humanoid robot motions. In IEEE-RAS International Conference on Humanoid Robots, Pittsburgh, PA, 2007. (pdf)

Javier R. Movellan, Fumihide Tanaka, Ian R. Fasel, Cynthia Taylor, Paul Ruvolo and Micah Eckhardt, The RUBI Project: A Progress Report, in: 2nd ACM/IEEE International Conference on Human-Robot Interaction, 2007 (pdf)

Kevin Gold, Ian Fasel, Nathan Freier and Cristen Torrey, Young Researchers’ Views on the Current and Future State of HRI, in: 2nd ACM/IEEE International Conference on Human-Robot Interaction, 2007 (pdf)

G. Littlewort, M.S. Bartlett, J. Chenu, I. Fasel, T. Kanda, H. Ishiguro and J.R. Movellan, Towards social robots: Automatic evaluation of human-robot interaction by face detection and expression classification, in: Advances in neural information processing systems, volume 16, pp. 1563–1570, Cambridge, MA, 2004. MIT Press (pdf)

G.C. Littlewort, M.S. Bartlett, I. Fasel, J. Chenu, T. Kanda, H. Ishiguro and J.R. Movellan, Facial Expression in Social Interactions: Automatic Evaluation of Human-Robot Interaction, in: Proceedings of the second international conference on development and learning (ICDL04), The Salk Institute, San Diego, October 20, 2004 (pdf)

Takayuki Kanda, Nicolas Miralles, Masayuki Shiomi, Takahiro Miyashita, Ian Fasel, J. R. Movellan and Hiroshi Ishiguro, “Face-to-face interactive humanoid robot”, IEEE 2004 International Conference on Robotics and Automation, 2004 (pdf)

M.S. Bartlett, G. Littlewort, I. Fasel and J.R. Movellan, Real time face detection and expression recognition: Development and application to human-computer interaction, in: CVPR Workshop on Computer Vision and Pattern Recognition for Human-Computer Interaction. 2003

Ian R Fasel, Kurt D Bollacker and Joydeep Ghosh, “A neural network based classification and real-time biofeedback system for clarinet tone-quality improvement”, Proceedings of the 12th International Joint Conference for Neural Networks, 1999 (pdf)

Object and Feature Detection

Paul Ruvolo, Ian R. Fasel and Javier R. Movellan, Learning application-specific meta algorithms for optimization, (under review), 2007

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 (pdf)

Ian R. Fasel, Marian S. Bartlett and Javier Movellan, “A comparison of Gabor filter methods for automatic detection of facial landmarks”, Proceedings of Fifth IEEE International Conference on Automatic Face and Gesture Recognition, 2002 (pdf)

I. Fasel and J. R. Movellan, Object Detection as a Markov Decision Process, in: Proceedings of the 9th Symposium on Neural Computation. California Institute of Technology, May 2002

I. Fasel and J. R. Movellan, Comparison of Neurally Inspired Face Detection Algorithms, in: Proceedings of the international conference on artificial neural networks (ICANN) 2002 (pdf)

Ian R Fasel, John Hershey and Javier Movellan, Active Sampling in High Dimensions for Face Detection, in: Proceedings of the 8th Symposium on Neural Computation, La Jolla, CA, 2001

Ian R Fasel and Tim K Marks, Smile and Wave: A Comparison of Gabor Representations for Facial Expression Recognition, in: Proceedings of the 8th Joint Symposium on Neural Computation, San Diego, CA, 2001

Real-Time Facial Expression Analysis

Jacob Whitehill, Gwen Littlewort, Ian Fasel, Marian Bartlett, and Javier Movellan. Developing a Practical Smile Detector. (under review), 2007.

Micah Eckhardt, Ian R. Fasel, and Javier R. Movellan. Robust detection of facial features for practical applications. (under review), 2007.

G. Littlewort, M.S. Bartlett, I. Fasel, J. Susskind and J.R. Movellan, “An automatic system or measuring facial expression in video”, Image and Vision Computing, in press (pdf)

M. S. Bartlett, G. Littlewort, C. Lainscsek, I. Fasel and J. Movellan, “Recognition of facial actions in spontaneous expressions,”, Journal of Multimedia, in press (pdf)

M. S. Bartlett, G. C. Littlewort, C. Lainscsek, I. Fasel, M. G. Frank and J. R. Movellan,

Fully automatic facial action recognition in spontaneous behavior, in: 7th International Conference on Automatic Face and Gesture Recognition, pp. 223–228, 2006 (pdf)

M. S. Bartlett, G. Littelwort, M. G. Frank, C. Lainscsek, I. Fasel and J. Movellan, Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior, in: IEEE International Conference on Computer Vision and Pattern Recognition, pp. 568–573, Osaka, Japan, 2005 (pdf)

M.S. Bartlett, G. Littlewort, C. Lainscsek, I. Fasel and J.R. Movellan, 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 (pdf)

G. Littlewort, M.S. Bartlett, I. Fasel, J. Susskind and J.R. Movellan, Dynamics of Facial Expression Extracted Automatically from Video, in: IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Face Processing in Video, 2004 (pdf)

G. Littlewort, I. Fasel, M.S. Bartlett and J.R. Movellan, Real Time Fully Automatic Coding of Facial Expressions From Video, in: Proceedings of the 9th Joint Symposium on Neural Computation, 2002

Patents

Marian Stewart Bartlett, Gwen Ford Littlewort, Ian Fasel and Javier R. Movellan, A method for Microanalysis of Facial Expressions, US Patent Pending, 2006

Javier R. Movellan, Marian Stewart Bartlett, Gwen Ford Littlewort, Ian Fasel, John Hershey, Josh Susskind and Eric Carlson, A method for Automatic Face Detection and Expression Recognition, US Patent Application 10/871,494, Japan Application, 2004