sustAGE H2020 Project acknowledged at IEEE FG2019 conference "Performance Analysis of Unimodal and Multimodal Models in Valence-Based Empathy Recognition” by A.Mallol-Ragolta, M.Schmitt, A.Baird, N.Cummins, B.Schuller

Demo : deep learning based tool for automated facial affect recognirion

Congratulations !

Workshops and tutorial today!

OMG challenge

Happy to present our contribution to the OMG-Empathy Challenge in IEEE FG2019 sustAGE H2020 Project

Saurabh (@ntweat) presented his work with Sk Rahatul Jannat, Md Taufeeq Uddin, and @asthasharma017 , from my lab, at the OMG-Empathy challenge workshop IEEE FG2019. Congratulations to the entire team! cseUSF USF Research

The winners of OMG challenge, Congratulations!

A second interesting invited talk from Hatice Gunes at IEEE FG2019 #FG2019

And that is all from Lille! See you next year at fg2020 at the 15th IEEE FG 2020 at Buenos Aires, Argentina on 18 - 22 May 2020, fg2020.org

I want to thank Hatice Gunes and #EmiliaBarakova for the amazing talks today in our #OMGEmpathy workhop at IEEE FG2019! Great day with very good discussions. Thank you also for all the teams and participants of the workshop! Great community!

Check all #IEEEFG2019 paper awards! Congratulations to all awardees fg2019.org/awards/

Awards for Facial Micro-expressions Grand Challenge #MEGC2019 #FG2019 IEEE FG2019 John See. Thanks to our sponsor - Image Metrics Ltd

Looking forward to receiving some cool demo submissions - @acii2019

PhD in human-virtual agent interaction (H/F) bit.ly/2K5i4Yc #Emploi via Emploi CNRS

Submit your challenge proposal for @IEEEFG2020 to be held in Buenos Aires, Argentina IEEE FG2019

⭐️ CALL FOR SPECIAL SESSIONS @IEEEFG2020, 👉ARGENTINA👈 IS NOW OPEN! ⭐️ See here fg2020.org for more details

A preprint of our new paper: Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets #GAN arxiv.org/abs/1907.10087 We propose to generate the six facial expressions given a single neutral face image.

We are looking for ambitious and motivated candidates for 18 months post-doctoral position who will investigate deep learning, GAN and geometrical approaches for analyzing, understanding and generating human behavior. Please contact me at pagesperso.telecom-lille.fr/daoudi/

Our new TPAMI paper Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets is online arxiv.org/abs/1907.10087 IMT Lille Douai Università di Firenze UM5 Media Supported by @isiteULNE #FacialExpressions #DeepLearning #AI