[visionlist] Post Our AMFG2017 Call for Paper

Allan Ding allanzmding at gmail.com
Fri Jul 21 13:08:51 -04 2017


https://web.northeastern.edu/smilelab/AMFG2017/cfp.html

This one-day serial workshop (AMFG2017) will provide a forum for
researchers to review the recent progress of recognition, analysis and
modeling of face, gesture, and body, and embrace the most advanced deep
learning system to address face and gesture analysis particularly under
unconstrained environment such as social media. The workshop will consist
of one to two invited talks; one from industry, together with peer-reviewed
regular papers (oral and poster). Original high-quality contributions are
solicited on the following topics:

1. Deep learning methodology, theory, and its applications to social media
analytics;

2. Novel deep learning model, deep learning survey, or comparative study
for face/gesture recognition;

3. Deep learning for internet-scale soft biometrics and profiling: age,
gender, ethnicity, personality, kinship, occupation, beauty, and fashion
classification by facial and/or body descriptor;

4. Face, gait, and action recognition in low-quality (blurred for
instance), or low-resolution video from fixed or mobile cameras;

5. Novel mathematical modeling and algorithms, sensors and modalities for
face & body gesture/action representation, analysis and recognition for
cross-domain social media;

6. Deep learning for detection and recognition of face and body in the wild
with large 3D rotation, illumination change, partial occlusion,
unknown/changing background, and aging; especially large 3D rotation robust
face and gesture recognition;

7. Motion analysis, tracking and extraction of face and body models from
image sequences captured by mobile devices;

8. Face, gait, and action recognition in low-quality (blurred for
instance), or low-resolution video from fixed or mobile cameras;

9. Novel mathematical modeling and algorithms, sensors and modalities for
face & body gesture/action representation, analysis, and recognition for
cross-domain social media;

10. Social/Psychological studies that can assist in understanding
computational modeling and building better automated face and gesture
systems for interaction purposes;

11. Novel social applications based on the robust detection, tracking and
recognition of face, body, and action;

12. Face and gesture analysis for sentiment analysis in social media;

13. Other applications of face and gesture analysis in social media content
understanding.
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