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Image and Vision Computing, Volume 65
Volume 65, September 2017
- Mohammad Soleymani, Björn W. Schuller, Shih-Fu Chang:
Guest editorial: Multimodal sentiment analysis and mining in the wild. 1-2 - Mohammad Soleymani, David García, Brendan Jou, Björn W. Schuller, Shih-Fu Chang, Maja Pantic:
A survey of multimodal sentiment analysis. 3-14 - Victor Campos, Brendan Jou, Xavier Giró-i-Nieto:
From pixels to sentiment: Fine-tuning CNNs for visual sentiment prediction. 15-22 - Jean Kossaifi, Georgios Tzimiropoulos, Sinisa Todorovic, Maja Pantic:
AFEW-VA database for valence and arousal estimation in-the-wild. 23-36 - Christos Georgakis, Yannis Panagakis, Stefanos Zafeiriou, Maja Pantic:
The Conflict Escalation Resolution (CONFER) Database. 37-48 - Gábor Szirtes, Javier Orozco, István Petrás, Dániel Szolgay, Ákos Utasi, Jeffrey F. Cohn:
Behavioral cues help predict impact of advertising on future sales. 49-57 - Gale M. Lucas, Jonathan Gratch, Nikolaos Malandrakis, Evan Szablowski, Eli Fessler, Jeffrey Nichols:
GOAALLL!: Using sentiment in the world cup to explore theories of emotion. 58-65 - Heysem Kaya, Furkan Gürpinar, Albert Ali Salah:
Video-based emotion recognition in the wild using deep transfer learning and score fusion. 66-75 - Jing Han, Zixing Zhang, Nicholas Cummins, Fabien Ringeval, Björn W. Schuller:
Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals. 76-86
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