Understanding human activity and thus effectively collaborating with humans is critical for some artificial intelligence systems. It is a very challenging problem which involves multiple tasks such as human action detection, person tracking, pose estimation, human-object interaction, and so on. Each of them has been independently developed into a research sub-area. Among them, however, there may exist some connections, which can be leveraged to boost the recognition. The purpose of this workshop is to bring together the research on human activity understanding, which hopefully can trigger more discussions on cross-task recognition and inspire new research ideas for human-centric activity understanding. This workshop encourages multi-task pattern recognition research, such as joint action detection and person tracking, joint event segmentation and recognition, joint pose tracking and estimation, and so on.
Workshop topics include, but are not limited to, the following:
- Human action recognition and detection
- Human activity recognition using non-visual sensors
- Human pose estimation and tracking
- Gesture recognition
- Human computer interaction / Human object interaction
- Person tracking and Person Re-identification
- Temporal event segmentation
- Multimedia event detection
- Anomaly event detection
- Human crowd analysis
- Data collection, annotation, and benchmarks.
- Submission deadline: August 15th 2020
- Author notification: September 15th 2020
- Camera-ready submission: October 30th 2020
For futher information, please send email to Jingen Liu at firstname.lastname@example.org or Lamberto Ballan at ..
University of Padova, Italy
JD AI Research, Silicon Valley, USA
JD AI Research, Beijing, China
University of Science and Technology of China, China