Cigdem TURAN
Cigdem TURAN
PostDoc at Artificial Intelligence and Machine Learning Lab, TU Darmstadt
Verified email at - Homepage
Cited by
Cited by
BAUM-2: a multilingual audio-visual affective face database
CE Erdem, C Turan, Z Aydin
Multimedia tools and applications 74 (18), 7429-7459, 2015
Histogram-based local descriptors for facial expression recognition (FER): A comprehensive study
C Turan, KM Lam
Journal of visual communication and image representation 55, 331-341, 2018
Region-based feature fusion for facial-expression recognition
C Turan, KM Lam
2014 IEEE International Conference on Image Processing (ICIP), 5966-5970, 2014
Facial expression recognition with emotion-based feature fusion
C Turan, KM Lam, X He
2015 Asia-Pacific Signal and Information Processing Association Annual …, 2015
Soft locality preserving map (SLPM) for facial expression recognition
C Turan, KM Lam, X He
arXiv preprint arXiv:1801.03754, 2018
The Moral Choice Machine
P Schramowski, C Turan, S Jentzsch, C Rothkopf, K Kersting
Frontiers in Artificial Intelligence 3, 36, 2020
Facial Expressions of Sentence Comprehension
C Turan, Y Wang, SC Lai, KD Neergaard, KM Lam
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 1-5, 2018
A method for extraction of affective audio-visual facial clips from movies
C Turan, C Kansın, S Zhalehpour, Z Aydın, ÇE Erdem
Signal Processing and Communications Applications Conference (SIU), 2013 …, 2013
BERT has a Moral Compass: Improvements of ethical and moral values of machines
P Schramowski, C Turan, S Jentzsch, C Rothkopf, K Kersting
arXiv preprint arXiv:1912.05238, 2019
Facial Expressions of Comprehension (FEC)
C Turan, KD Neergaard, KKM Lam
IEEE Transactions on Affective Computing, 2019
Facial image analysis and its applications to facial expression recognition
C Turan
Introduction to Face Recognition and Recent Work
T Liu, WC Siu, C Turan, SC Lai, KM Lam, T Stathaki
Learning Approaches in Signal Processing, 155, 2018
Lexical competition between words, the body, and in social interaction Noise Ratios Task design Dependent Variables
KD Neergaard, C Turan, JS German
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