- RANSAC-based Training Data Selection for Emotion Recognition from Spontaneous Speech
- METRICS FOR PERFORMANCE EVALUATIONOF VIDEO OBJECT SEGMENTATION AND TRACKING WITHOUT GROUND-TRUTH
- Performance Measures for Video Object Segmentation and Cigdem Eroglu Erdema, Bulent Sankura, A. Murat Tekalpb
- Interactive "Immaterial" Screen for Performing Arts Ismo Rakkolainen
- SPEECH-DRIVEN AUTOMATIC FACIAL EXPRESSION SYNTHESIS* Elif Bozkurt1
- Combined filtering and key-frame reduction of motion capture data with application to 3DTV *
- B. Gunsel et al. (Eds.): MRCS 2006, LNCS 4105, pp. 379 386, 2006. Springer-Verlag Berlin Heidelberg 2006
- COMBINING HAAR FEATURE AND SKIN COLOR BASED CLASSIFIERS FOR FACE C. E. Erdem
- Use of Line Spectral Frequencies for Emotion Recognition from Speech Elif Bozkurt, Engin Erzin
- Authoring and Presentation Tools for Distance Learning over Interactive TV
- UNSUPERVISED DANCE FIGURE ANALYSIS FROM VIDEO FOR DANCING AVATAR ANIMATION*
- KEYFRAME REDUCTION TECHNIQUES FOR MOTION CAPTURE DATA Onur Onder1
- MID-AIR DISPLAY FOR PHYSICAL EXERCISE AND GAMING Ismo Rakkolainen
- COMPARISON OF PHONEME AND VISEME BASED ACOUSTIC UNITS FOR SPEECH DRIVEN REALISTIC LIP ANIMATION
- PERFORMANCE EVALUATION METRICS FOR OBJECT-BASED VIDEO SEGMENTATION
- IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 17, NO. 11, NOVEMBER 2007 1587 Scene Representation Technologies
- PROSODY-DRIVEN HEAD-GESTURE ANIMATION M.E. Sargin, E. Erzin, Y. Yemez, A.M. Tekalp
- Advanced Authoring Tools for Game-Based Training A. Tanju Erdem Bora Utku Tolga Abaci idem Erolu Erdem*
- TEMPORAL STABILIZATION OF VIDEO OBJECT SEGMENTATION FOR 3D-TV APPLICATIONS
- IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 10, NO. 12, DECEMBER 2001 1873 Motion Estimation in the Frequency Domain Using
- M.Sc. /Ph.D. /Post-doc positions are available for the following project Spontaneous Affect Recognition from Speech and Facial Expressions for
- Formant position based weighted spectral features for emotion recognition
- Formant position based weighted spectral features for emotion recognition
