The 2nd International Workshop on Human-centric Multimedia Analysis Call for Papers
_____________________________
CFP: HUMA'21
_____________________________
The 2nd International Workshop on Human-centric Multimedia Analysis
In connection with ACM Multimedia 2021
20 October, 2021, Chengdu, China
Workshop: https://hcma2021.github.io/
Conference: https://2021.acmmm.org
_____________________________
IMPORTANT DATES
_____________________________
- Workshop Paper Submission: 10 October, 2021
- Acceptance Notification: 26 October, 2021
- Camera-ready Submission: 31 October, 2021
The submission deadline is at 11:59 p.m. of the stated deadline date
Anywhere on Earth.
_____________________________
CALL FOR PAPERS
_____________________________
The human-centric multimedia analysis is one of the fundamental
problems in multimedia understanding. It is a very challenging problem
that involves multiple tasks such as face detection and recognition,
human pose estimation, action recognition, human-object interaction,
person re-identification, etc. Today, ubiquitous multimedia sensors
and large-scale computing infrastructures are producing at a rapid
velocity and a wide variety of big multi-modality data for
human-centric analysis, which provides rich knowledge to tackle these
challenges.
In conjunction with ACM MM 2021, we are organizing the 2nd
International Workshop On Human-Centric Multimedia Analysis to: 1)
bring together the state-of-the-art research on human-centric
multimedia analysis; 2) call for a coordinated effort to understand
the opportunities and challenges in human-centric multimedia analysis;
3) identify key tasks and evaluate the state-of-the-art methods; 4)
showcase innovative methodologies and ideas; 5) introduce interesting
real-world human-centric multimedia analysis systems or applications;
and 6) propose new real-world datasets and discuss future
directions. We solicit original research in (but not limited to) the
following topics:
- Face detection, recognition, and anti-spoofing
- Face landmark detection and parsing
- Human detection and tracking
- Human pose estimation and parsing
- Human 3D shape estimation and reconstruction
- Person re-identification and gait recognition
- Human action recognition and localization
- Activity recognition using non-visual sensors
- Huma-computer interaction
- Human object interaction
- Multimedia event detection
- Human crowd analysis
_____________________________
KEYNOTE SPEAKERS
_____________________________
- Prof. Yihong Gong, Xi’an Jiaotong University, China
- Prof. Junwei Han, Northwestern Polytechnical University, China
- Dr. Marta Mrak, BBC Research & Development, United Kingdom
- Dr. Chuang Gan, MIT-IBM Watson AI Lab, USA
_____________________________
ORGANIZERS
_____________________________
- Wu Liu, JD AI Research, China
- Xinchen Liu, JD AI Research, China
- Jingkuan Song, UESTC, China
- Dingwen Zhang, Northwestern Polytechnical University, China
- Wenbing Huang, Tsinghua University, China
- John Smith, IBM Research, USA