Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction - 5th IAPR TC 9 Workshop, MPRSS 2018, Beijing, China, August 20, 2018, Revised Selected Papers - researchr publication

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Friedhelm Schwenker, Stefan Scherer, editors, Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction - 5th IAPR TC 9 Workshop, MPRSS 2018, Beijing, China, August 20, 2018, Revised Selected Papers. Volume 11377 of Lecture Notes in Computer Science, Springer, 2019. [doi]

Conference: mprss2019

Abstract is missing.

Multi-focus Image Fusion with PCA Filters of PCANetXu Song, Xiao-jun Wu. 1-17 [doi]

An Image Captioning Method for Infant Sleeping Environment DiagnosisXinyi Liu, Mariofanna Milanova. 18-26 [doi]

A First-Person Vision Dataset of Office ActivitiesGirmaw Abebe, Andreu Català, Andrea Cavallaro. 27-37 [doi]

Perceptual Judgments to Detect Computer Generated Forged Faces in Social MediaSuzan Anwar, Mariofanna G. Milanova, Mardin Anwer, Anderson Banihirwe. 38-48 [doi]

Combining Deep and Hand-Crafted Features for Audio-Based Pain Intensity ClassificationPatrick Thiam, Friedhelm Schwenker. 49-58 [doi]

Deep Learning Algorithms for Emotion Recognition on Low Power Single Board ComputersVenkatesh Srinivasan, Sascha Meudt, Friedhelm Schwenker. 59-70 [doi]

Improving Audio-Visual Speech Recognition Using Gabor Recurrent Neural NetworksAli S. Saudi, Mahmoud I. Khalil, Hazem M. Abbas. 71-83 [doi]

Evolutionary Algorithms for the Design of Neural Network Classifiers for the Classification of Pain IntensityDanila Mamontov, Iana Polonskaia, Alina Skorokhod, Eugene Semenkin, Viktor Kessler, Friedhelm Schwenker. 84-100 [doi]

Visualizing Facial Expression Features of Pain and Emotion DataJan Sellner, Patrick Thiam, Friedhelm Schwenker. 101-115 [doi]

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