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Fernando De la Torre Frade
Research Scientist

Email address: ftorre@cs.cmu.edu

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

For more information, see my personal homepage.

Jump to: Research interests | Keywords | Labs & groups | Projects | Publications

My research interests include:

Computer Vision
Pattern Recognition
Visual Tracking
Machine Learning
Statistical Signal Processing

artificial intelligence, computer vision, data mining, data visualization, gesture recognition, image compression, image processing, information fusion, machine learning, machine understanding of video and human behavior, neural networks, pattern recognition, quality-of-life technology, sensor fusion, and statistics

• Face Group - Robust detection, recognition, and tracking of human faces with automated analysis of expressions
• Human Identification at a Distance - We are developing and evaluating human identification technologies as part of the Defense Advanced Research Projects Agency (DARPA) sponsored program in Human Identification at a Distance (HumanID).

• Component Analysis for Data Analysis - Component analysis (CA) is a set of techniques to decompose a signal (e.g. audio, video) into interesting components useful for classification, clustering, modeling or visualization. This project extends traditional CA techniques and unifies them, providing a cleaner theoretical framework for its analysis.
• Deception Detection - Learning facial indicators of deception
• Depression Assessment - This project aims to compute quantitative behavioral measures related to depression severity from facial expression, body gestures, and vocal prosody in clinical interviews.
• Face Recognition - Recognizing people from images and videos.
• Facial Expression Analysis - Automatic facial expression encoding, extraction and recognition, and expression intensity estimation for the applications of MPEG4 application: teleconferencing, human-computer interaction/interface.
• Facial Feature Detection - Detecting facial features in images.
• Forecasting the Anterior Cruciate Ligament Rupture Patterns - Use of machine learning techniques to predict the injury pattern of the Anterior Cruciate Ligament (ACL) using non-invasive methods.
• Hot Flash Detection - Machine learning algorithms to detect hot flashes in women using physiological measures.
• Indoor People Localization - Tracking multiple people in indoor environments with the connectivity of Bluetooth devices.
• Intelligent Diabetes Assistant - We are working to create an intelligent assistant to help patients and clinicians work together to manage diabetes at a personal and social level. This project uses machine learning to predict the effect that patient specific behaviors have on blood glucose.
• Multimodal Data Collection - A multimodal database of subjects performing the tasks involved in cooking, captured with several sensors (audio, video, motion capture, accelerometer/gyroscope).
• Multimodal Diaries - Summarization of daily activity from multimodal data (audio, video, body sensors and computer monitoring)
• Quality of Life Technology Center - QoLT is a unique partnership between Carnegie Mellon and the University of Pittsburgh that brings together a cross-disciplinary team of technologists, clinicians, industry partners, end users, and other stakeholders to create revolutionary technologies that will improve and sustain the quality of life for all people.
• Reflective Agents with Distributed Adaptive Reasoning - The focus of the RADAR project is to build a cognitive assistant that embodies machine learning technology that is able to function without requiring expert tuning or specially trained users.
• Spatio-Temporal Facial Expression Segmentation - A two-step approach temporally segment facial gestures from video sequences. It can register the rigid and non-rigid motion of the face.
• Temporal Segmentation of Human Motion - Temporal segmentation of human motion

• Local Minima Free Parameterized Appearance Models
  M.H. Nguyen and F. De la Torre Frade
  IEEE Conference on Computer Vision and Pattern Recognition, June, 2008. [Abstract]

• Parameterized Kernel Principal Component Analysis: Theory and Applications to Supervised and Unsupervised Image Alignment
  F. De la Torre Frade and M.H. Nguyen
  IEEE Conference on Computer Vision and Pattern Recognition, June, 2008. [Abstract]

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

• Tracking Algorithms Based on Dynamics of Individuals and MultiDimensional Scaling
  J. Maria Cabero, F. De la Torre Frade, I. Arizaga, and A. Sanchez
  IEEE international symposium on wireless pervasive computing 2008, May, 2008. [Abstract]

• Image-based Shaving
  M.H. Nguyen, J. Lalonde, A.A. Efros, and F. De la Torre Frade
  Computer Graphics Forum Journal (Eurographics), Vol. 27, No. 2, April, 2008, pp. 627 - 635. [Abstract]
  Download: pdf [5705 KB] copyrighted

• A Comparative Study of Supervised Learning Techniques for the Radiative Transfer Equation Inversion
  E. Garcia, F. De la Torre Frade, and A.D. Castro
  International Conference on Machine Learning and Data Analysis, October, 2007. [Abstract]

• Bilinear Active Appearance Models
  J. Gonzalez, F. De la Torre Frade, R. Murthi, N. Guil Mata, and E. Zapata
  Workshop on Non-rigid Registration and Tracking through Learning, October, 2007. [Abstract]
  Download: pdf [965 KB] copyrighted

• Indoor People Tracking based on Dynamic Weighted Multidimensional Scaling
  J. Maria Cabero, F. De la Torre Frade, I. Arizaga, and A. Sanchez
  IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems, October, 2007. [Abstract]
  Download: pdf [706 KB] copyrighted

• Temporal Segmentation of Facial Behavior
  F. De la Torre Frade, J. Campoy, Z. Ambadar, and J.F. Cohn
  International Conference on Computer Vision, October, 2007. [Abstract]
  Download: pdf [3061 KB] copyrighted

• Multimodal Diaries
  F. De la Torre Frade and C. Agell
  International Conference on Multimedia and Expo, July, 2007. [Abstract]
  Download: pdf [698 KB] copyrighted