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Toplam kayıt 14, listelenen: 1-10
Video-based emotion recognition in the wild
(Academic Press Ltd-Elsevier Science Ltd, 2019)
[No Abstract Available]
Video-based emotion recognition in the wild using deep transfer learning and score fusion
(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, ...
Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs
(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. ...
The Turkish Audio-Visual Bipolar Disorder Corpus
(IEEE, 2018)
This paper introduces a new audio-visual Bipolar Disorder (BD) corpus for the affective computing and psychiatric communities. The corpus is annotated for BD state, as well as Young Mania Rating Scale (YMRS) by psychiatrists. ...
Potential audio treatment predictors for bipolar mania
(Wiley, 2018)
[No Abstract Available]
Feature Selection and Multimodal Fusion for Estimating Emotions Evoked by Movie Clips
(Assoc Computing Machinery, 2018)
Perceptual understanding of media content has many applications, including content-based retrieval, marketing, content optimization, psychological assessment, and affect-based learning. In this paper, we model audio visual ...
Movie Emotion Estimation with Multimodal Fusion and Synthetic Data Generation
(IEEE, 2019)
In this work, we propose a method for automatic emotion recognition from movie clips. This problem has applications in indexing and retrieval of large movie and video collections, summarization of visual content, selection ...
Combining Deep Facial and Ambient Features for First Impression Estimation
(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
(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 ...
Multimodal Fusion of Audio, Scene, and Face Features for First Impression Estimation
(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 ...