Yazar "Gürpınar, Furkan" için Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed listeleme
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Combining Deep Facial and Ambient Features for First Impression Estimation
Gürpınar, Furkan; Kaya, Heysem; Salah, Albert Ali (Springer International Publishing Ag, 2016)First impressions influence the behavior of people towards a newly encountered person or a human-like agent. Apart from the physical characteristics of the encountered face, the emotional expressions displayed on it, as ... -
Kernel ELM and CNN based Facial Age Estimation
Gürpınar, Furkan; Kaya, Heysem; Dibeklioglu, Hamdi; Salah, Albert Ali (IEEE, 2016)e propose a two-level system for apparent age estimation from facial images. Our system first classifies samples into overlapping age groups. Within each group, the apparent age is estimated with local regressors, whose ... -
Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs
Kaya, Heysem; Gürpınar, Furkan; Salah, Albert Ali (IEEE, 2017)We describe an end-to-end system for explainable automatic job candidate screening from video CVs. In this application, audio, face and scene features are first computed from an input video CV, using rich feature sets. ... -
Multimodal Fusion of Audio, Scene, and Face Features for First Impression Estimation
Gürpınar, Furkan; Kaya, Heysem; Salah, Albert Ali (IEEE Computer Soc, 2016)Affective computing, particularly emotion and personality trait recognition, is of increasing interest in many research disciplines. The interplay of emotion and personality shows itself in the first impression left on ... -
Video-based emotion recognition in the wild
Salah, Albert Ali; Kaya, Heysem; Gürpınar, Furkan (Academic Press Ltd-Elsevier Science Ltd, 2019)[No Abstract Available] -
Video-based emotion recognition in the wild using deep transfer learning and score fusion
Kaya, Heysem; Gürpınar, Furkan; Salah, Albert Ali (Elsevier, 2017)Multimodal recognition of affective states is a difficult problem, unless the recording conditions are carefully controlled. For recognition in the wild, large variances in face pose and illumination, cluttered backgrounds, ...