Graphics enhanced version of this site

Tsuhan Chen
Professor, ECE (Adjunct)

Email address: tsuhan@ece.cmu.edu
Office: HH 1109
Phone: (412) 268 7536
Fax: (412) 268 3890

Mailing address:
Electrical and Computer Engineering
Carnegie Mellon University
Hamerschlag Hall 1109
5000 Forbes Avenue
Pittsburgh, PA 15213-3890

For more information, see my personal homepage.

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

The word "multimedia" is more than the simple combination of text, audio, images, graphics and video. The interaction among these media, and their interaction with humans, networks, and storage media, are what really make multimedia research exciting. Our research group, the Advanced Multimedia Processing (AMP) Lab, has wide interests in various techniques for multimedia applications. Our current research topics include:

Computer Vision and Pattern Recognition: object detection and tracking, 3D reconstruction, video surveillance, 3D object retrieval and streaming, combined vision and inertia sensing

Computer Graphics: multiview imaging, image-based rendering, illumination normalization and relighting

Multimedia Coding and Streaming: video over wireless, rate shaping/control, traffic/channel modeling, encoder optimization, and error concealment

Multimodal Biometrics: face tracking, face recognition, voice identification, and lip-reading

System Implementation: hardware-software implementation of speech recognition systems and multimedia codecs

Bioinformatics: Analysis and matching of 3D protein structures

acoustics, animation, computer graphics, computer vision, data visualization, gesture recognition, graphics, human-computer interaction, image compression, image processing, object recognition, pattern recognition, sensor fusion, video systems, and visual tracking

• Face Group - Robust detection, recognition, and tracking of human faces with automated analysis of expressions

• Personal Robotic Assistants For The Elderly - Pearl will help researchers explore the ways autonomous mobile robots can help the elderly live independently in their own homes.

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• Learning Patch Correspondences for Improved Viewpoint Invariant Face Recognition
  A.B. Ashraf, S. Lucey, and T. Chen
  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June, 2008. [Abstract]
  Download: pdf [948 KB] copyrighted

• A Viewpoint Invariant, Sparsely Registered, Patch Based, Face Verifier
  S. Lucey and T. Chen
  International Journal of Computer Vision (IJCV), December, 2007. [Abstract]
  Download: pdf [734 KB] copyrighted

• Integrating Monolithic and Free-parts Representations for Improved Face Verification in the Presence of Pose Mismatch
  S. Lucey and T. Chen
  Pattern Recognition Letters, Vol. 28, No. 8, June, 2007, pp. 895 - 903. [Abstract]

• A Viewpoint Invariant, Sparsely Registered, Patch Based, Face Verifier
  S. Lucey and T. Chen
  tech. report CMU-RI-TR-07-17, Robotics Institute, Carnegie Mellon University, February, 2007. [Abstract]
  Download: pdf [1554 KB] copyrighted

• Learning patch dependencies for improved pose mismatched face verification
  S. Lucey and T. Chen
  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June, 2006. [Abstract]
  Download: pdf [538 KB] copyrighted

• Improved face recognition through mismatch driven representations of the face
  S. Lucey and T. Chen
  International Conference on Computer Vision (ICCV) Workshop, PETS, October, 2005. [Abstract]
  Download: pdf [198 KB] copyrighted

• Integrating Monolithic and Free-parts Representations for Improved Face Verification in the Presence of Pose Mismatch
  S. Lucey and T. Chen
  tech. report, Electrical and Computer Engineering, Carnegie Mellon University, October, 2004. [Abstract]
  Download: pdf [263 KB] copyrighted