[visionlist] CVPR Workshop on Affect Understanding in Video (AUVi)

Tue Mar 2 21:44:14 -04 2021

We are pleased to share with you the Call for Papers for the First
International Workshop on Affective Understanding in Video
<https://sites.google.com/corp/view/auvi-cvpr2021/home> and Evoked
Expressions in Videos Challenge
<https://sites.google.com/corp/view/auvi-cvpr2021/challenge> at CVPR 2021.

Important Dates

   -

   Workshop
   -

      Submission deadline: March 12th 2021
      -

      Paper acceptance notification: April 7th 2021
      -

      Camera-ready submission deadline: April 15th 2021
      -

   Competition
   -

      Challenge open: March 1st 2021
      -

      Challenge close: April 24th 2021
      -

      Winners Announced: May 1st 2021

Papers are limited to 8 pages (excluding references) in the CVPR 2021 format
<http://cvpr2021.thecvf.com/node/33>. Topics include, but are not limited
to the following.

   -

   Methods to recognize affective expressions evoked in viewers by videos,
   such as from music/audio, scenes, character interactions, and related
   topics.
   -

   Methods to recognize affective expressions of people shown in videos,
   including facial expression, body expressions, voice expression, and
   related topics.
   -

   Ethics, bias and fairness in modeling and datasets for the problem of
   affective understanding in videos.
   -

   Multimodal techniques for understanding affective expressions, including
   non-visual signals such as audio or speech.
   -

   Explainability and interpretability in the context of affective video
   understanding.
   -

   Temporal context and scene context in affective video understanding.
   -

   Cross-cultural analysis of affect and subjective annotations.
   -

   Open public academic datasets to understand affective expressions in
   video.
   -

   Applications of affective understanding of videos to industry.

Evoked Expressions from Videos (EEV) Challenge

   -

   Given a video, how well can models predict viewer facial reactions at
   each timestamp when watching the video?
   -

   Predicting evoked facial expressions from video is challenging, as it
   requires modeling signals from different modalities (visual and audio)
   potentially over long timescales.
   -

   Our challenge uses the EEV dataset
   <https://github.com/google-research-datasets/eev>, a novel dataset
   collected using reaction videos, to study these facial expressions
   variations as viewers watch the video.
   -

   Register for the challenge here
   <https://www.aicrowd.com/challenges/evoked-expressions-from-videos-challenge-cvpr-2021>
   .

For more information, please visit the website of the workshop
<https://sites.google.com/corp/view/auvi-cvpr2021/home> and competition
<https://sites.google.com/corp/view/auvi-cvpr2021/challenge>.

AUVi Workshop Organizing Committee

Jennifer J.Sun (Caltech)

Gautam Prasad (Google)

Ting Liu (Google)

Agata Lapedriza (Universitat Oberta de Catalunya)

James Z. Wang (Penn State)

Vikash Gupta (Mayo Clinic)

Sara Ostadabbas (Northeastern University)

Salil Soman (Harvard Medical School)

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