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Transfer learning to account for idiosyncrasy in face and body expressions

Bernardino Romera-Paredes, Min S. H. Aung, Massimiliano Pontil, Nadia Bianchi-Berthouze, Amanda C. de C. Williams, Paul Watson
2013 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
In this paper we investigate the use of the Transfer Learning (TL) framework to extract the commonalities across a set of subjects and also to learn the way each individual instantiates these commonalities  ...  We compare our approaches with Ridge Regression which is a comparable model without the Transfer Learning property; as well as with a subtractive method for removing idiosyncrasy.  ...  ACKNOWLEDGEMENTS The authors of this study are funded by the Engineering and Physical Sciences Research Council, UK (EP/H017178/1), Leicester: EP/H017194/1; part of the Pain rehabilitation: E/Motion-based  ... 
doi:10.1109/fg.2013.6553779 dblp:conf/fgr/Romera-ParedesAPBWW13 fatcat:taztyr4umfejnpxxx3ijc6mine

Reconstruction of Personalized 3D Face Rigs from Monocular Video

Pablo Garrido, Michael Zollhöfer, Dan Casas, Levi Valgaerts, Kiran Varanasi, Patrick Pérez, Christian Theobalt
2016 ACM Transactions on Graphics  
We represent person specific idiosyncrasies, which can not be represented in the restricted shape and expression space, by learning a set of medium-scale corrective shapes.  ...  We show captured face rigs and their motions for several actors filmed in different monocular video formats, including legacy footage from YouTube, and demonstrate how they can be used for 3D animation  ...  ACKNOWLEDGMENTS We thank all the reviewers for their valuable comments and True-VisionSolutions Pty Ltd for kindly providing the 2D face tracker.  ... 
doi:10.1145/2890493 fatcat:4a7lvmi3ebcfhhldcknvj2blye

Cultural Communication Idiosyncrasies in Human-Computer Interaction

Juliana Miehle, Koichiro Yoshino, Louisa Pragst, Stefan Ultes, Satoshi Nakamura, Wolfgang Minker
2016 Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue  
In this work, we investigate whether the cultural idiosyncrasies found in humanhuman interaction may be transferred to human-computer interaction.  ...  We conducted a survey among Germans and Japanese to investigate whether the supposed differences may be applied in human-computer interaction.  ...  This research and development work was also supported by the MIC/SCOPE #152307004.  ... 
doi:10.18653/v1/w16-3610 dblp:conf/sigdial/MiehleYPUNM16 fatcat:n7qguex3bzcsxcio65jncvozlu

Learning Speech-driven 3D Conversational Gestures from Video [article]

Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Lingjie Liu, Hans-Peter Seidel, Gerard Pons-Moll, Mohamed Elgharib, Christian Theobalt
2021 arXiv   pre-print
To this end, we apply state-of-the-art monocular approaches for 3D body and hand pose estimation as well as dense 3D face performance capture to the video corpus.  ...  We also contribute a new way to create a large corpus of more than 33 hours of annotated body, hand, and face data from in-the-wild videos of talking people.  ...  We make use of CMU Sphinx [26] for computing the coefficients, and use 13 MFC coefficients and an additional feature to account for the log mean energy of the input.  ... 
arXiv:2102.06837v1 fatcat:fea24vvphbh4jpuqzclfviq5fe

Automatic Behaviour Understanding in Medicine

Michel Valstar
2014 Proceedings of the 2014 Workshop on Roadmapping the Future of Multimodal Interaction Research including Business Opportunities and Challenges - RFMIR '14  
Perhaps one of the most promising areas is the application of automatic expressive behaviour understanding to help diagnose, monitor, and treat medical conditions that themselves alter a person's social  ...  As Affective Computing and Social Signal Processing methods are becoming increasingly robust and accurate, novel areas of applications with significant societal impact are opening up for exploration.  ...  In particular, I would like to thank Jeff Cohn, Amanda Williams, Stefan Scherer, LP Morency, Chris Hollis, Richard Morriss, Don Sharkey, David Daley, and mostly G van Londen, who started all this with  ... 
doi:10.1145/2666253.2666260 dblp:conf/icmi/Valstar14 fatcat:ea3jnmhs3rds7eg5dc6zb5i7gq

Face transfer with multilinear models

Daniel Vlasic, Matthew Brand, Hanspeter Pfister, Jovan Popović
2005 ACM SIGGRAPH 2005 Papers on - SIGGRAPH '05  
Face Transfer offers new solutions to these problems and links the estimated model with a face-tracking algorithm to extract pose, expression, and viseme parameters.  ...  Face Transfer offers new solutions to these problems and links the estimated model with a face-tracking algorithm to extract pose, expression, and viseme parameters.  ...  Our Face Transfer learns a model of 3D facial geometry variations in order to infer a particular face shape from 2D images.  ... 
doi:10.1145/1186822.1073209 fatcat:ycfhzjzojfbzbhnor3mzu26om4

Face transfer with multilinear models

Daniel Vlasic, Matthew Brand, Hanspeter Pfister, Jovan Popović
2005 ACM Transactions on Graphics  
Face Transfer offers new solutions to these problems and links the estimated model with a face-tracking algorithm to extract pose, expression, and viseme parameters.  ...  Face Transfer offers new solutions to these problems and links the estimated model with a face-tracking algorithm to extract pose, expression, and viseme parameters.  ...  Our Face Transfer learns a model of 3D facial geometry variations in order to infer a particular face shape from 2D images.  ... 
doi:10.1145/1073204.1073209 fatcat:b4iidkieezff3gkmbdu6ozyvea

Face transfer with multilinear models

Daniel Vlasic, Matthew Brand, Hanspeter Pfister, Jovan Popovic
2006 ACM SIGGRAPH 2006 Courses on - SIGGRAPH '06  
Face Transfer offers new solutions to these problems and links the estimated model with a face-tracking algorithm to extract pose, expression, and viseme parameters.  ...  Face Transfer offers new solutions to these problems and links the estimated model with a face-tracking algorithm to extract pose, expression, and viseme parameters.  ...  Our Face Transfer learns a model of 3D facial geometry variations in order to infer a particular face shape from 2D images.  ... 
doi:10.1145/1185657.1185864 dblp:conf/siggraph/VlasicBPP06 fatcat:i62ikvmrk5ainlg7c4usbkdhjq

Towards a Multimedia Knowledge-Based Agent with Social Competence and Human Interaction Capabilities

Leo Wanner, Ioannis Kompatsiaris, Elisabeth André, Florian Lingenfelser, Gregor Mehlmann, Andries Stam, Ludo Stellingwerff, Bianca Vieru, Lori Lamel, Wolfgang Minker, Louisa Pragst, Josep Blat (+8 others)
2016 Proceedings of the 1st International Workshop on Multimedia Analysis and Retrieval for Multimodal Interaction - MARMI '16  
In contrast to most of the existing agents, the presented agent is aimed to have linguistic cultural, social and emotional competence needed to interact with elderly and migrants.  ...  We present work in progress on an intelligent embodied conversation agent in the basic care and healthcare domain.  ...  ., elderly); they do not take into account cultural idiosyncrasies of the addressee when planning their actions; they are not multilingual to be able to intermediate between a migrant and a native from  ... 
doi:10.1145/2927006.2927011 dblp:conf/mir/WannerBDDLMSKVK16 fatcat:h5znrszjszcujenxbw7zl2w7ui

A shared neural encoding model for the prediction of subject-specific fMRI response [article]

Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
2020 arXiv   pre-print
In the present study, we propose a shared convolutional neural encoding method that accounts for individual-level differences.  ...  We further demonstrate the ability of the shared encoding model to successfully capture meaningful individual differences in response to traditional task-based facial and scenes stimuli.  ...  Specifically, we predict brain response to visual stimuli (comprising faces, places, tools and body parts) from the HCP Working Memory (WM) task and use the predicted response to synthesize face and scene  ... 
arXiv:2006.15802v2 fatcat:mizlivo55vdfrkkfbx2pf364ai

VR content creation and exploration with deep learning: A survey

Miao Wang, Xu-Quan Lyu, Yi-Jun Li, Fang-Lue Zhang
2020 Computational Visual Media  
This article surveys recent research that uses such deep learning methods for VR content creation and exploration.  ...  It originated in the 1960s and has evolved to provide increasing immersion, interactivity, imagination, and intelligence.  ...  Acknowledgements The authors would like to thank the reviewers. This work was supported by the National Natural Science Foundation of China (Grant Nos. 61902012, 61932003).  ... 
doi:10.1007/s41095-020-0162-z fatcat:lgogzx26bvhn5f7uyefjkz7zny

Evolving and breeding robots [chapter]

Henrik Hautop Lund, Orazio Miglino
1998 Lecture Notes in Computer Science  
However, it is not enough to evolve controllers alone, and we argue that robot body plans and controllers should co-evolve, which leads to an alternative form of evolvable hardware.  ...  Initially, we investigated simulation-reality relationships in order to transfer our articial life simulation work with evolution of neural network agents to real robots.  ...  Materials and facilities were provided by the LEGO Group, the Danish National Centre for IT Research { CIT, the National Research Council, Rome, Italy, and the University o f Edinburgh.  ... 
doi:10.1007/3-540-64957-3_73 fatcat:3np6zxfaujcixf6i5vbd3re36q

Stretching tacit knowledge beyond a local fix? Global spaces of learning in advertising professional service firms

James R. Faulconbridge
2006 Journal of Economic Geography  
of organizational knowledge leverage -'knowledge transfer' in the form of best practice and 'the social production of new knowledge' -and their complementary yet differentiated roles in organizations  ...  Scholars have, therefore, called for better understanding of the multiple geographies of knowledge through research of local but also global relational spaces of learning and the different types of knowledge  ...  For example, Morgan (2004, 5) draws our attention to the well recognised fact that "body language and face-to-face communication convey as much as (if not more than) verbal communication".  ... 
doi:10.1093/jeg/lbi023 fatcat:egtvvz34snff3m4su224nugsai

Embracing the Agile Mindset: Faculty Perspective

Dr. Savitha G R, Dr. Jairaj Nair
2020 International Journal of Research Publications  
It's about thinking through how one can understand what's going on in the environment, identify what uncertainty one is facing and figure out how to adapt and go along.  ...  An agile mindset is about creating and responding to change in uncertain and turbulent environments.  ...  Post-pandemic times could see a blend of e-learning and mainstream face-to-face teaching in Management Education.  ... 
doi:10.47119/ijrp1006511120201577 fatcat:f3cx5arjznapniyrpsst2n4yku

SVD Square-root Iterated Extended Kalman Filter for Modeling of Epileptic Seizure Count Time Series with External Inputs

Sidratul Moontaha, Andreas Galka, Michael Siniatchkin, Sascha Scharlach, Sarah von Spiczak, Ulrich Stephani, Theodor May, Thomas Meurer
2019 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  
In this paper a nonlinear filtering algorithm for count time series is developed that takes the non-negativity of the data into account and preserves positive definiteness of the covariance matrices of  ...  The resulting algorithm is applied to the evaluation and design of therapies for patients suffering from Myoclonic Astatic Epilepsy, employing time series of daily seizure rate.  ...  based systems for face expressions in general.  ... 
doi:10.1109/embc.2019.8857159 pmid:31945973 fatcat:dmckhawdpbfwjoiekeerk4ra54
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