Hu Han
Researcher
Institute of Computing Technology, Chinese Academy of Sciences, Beijing,
China
FME'22 Workshop Program
October 10th 2022, 14:00-17:30 pm (UTC+1)
- The workshop will be held via a hybrid mode, i.e. jointly onsite in Lisbon, Portugal and online.
- Detailed program could be found here.
- More conference info could be found on https://2022.acmmm.org/program/.
MEGC2022
Note: MEGC2022 challenge belongs to the ACM MM'22 Multimedia Grand Challenge track, and the activity will take place at October 12, 2022. (ACM Multimedia 2022 Program at a Glance).
FME'22 Keynote Speakers
Program schedule (tentative)
| Time | Session | |
|---|---|---|
| 14:00-14:05 | Opening from the Chairs | |
| 14:05-14:45 | Workshop Paper Presentation | |
| * MTSN: A Multi-Temporal Stream Network for Spotting Facial Macro- and Micro-Expression with Hard and Soft Pseudo-labels | ||
| * A More Objective Quantification of Micro-Expression Intensity through Facial Electromyography | ||
| 14:45-15:25 | Keynote: Dr. Hu Han | |
| 15:25-15:40 | Break | |
| 15:40-16:40 | MEGC2022 Grand Challenge Paper Presentation | |
| Spotting Task | * Baseline: 3D-CNN for Facial Micro- and Macro-expression Spotting on Long Video Sequences using Temporal Oriented Reference Frame | |
| * 1st place: Facial Expression Spotting Based on Optical Flow Features | ||
| * 2nd place: Rethinking Optical Flow Methods for Micro-Expression Spotting | ||
| * 3rd place: ABPN: Apex and Boundary Perception Network for Micro- and Macro-Expression Spotting | ||
| Generation Task | * 1st place: Micro Expression Generation with Thin-plate Spline Motion Model and Face Parsing | |
| * 2nd place: Fine-grained Micro-Expression Generation based on Thin-Plate Spline and Relative AU& Constraint | ||
| * 3rd place: Adaptive Dual Motion Model for Facial Micro-Expression Generation | ||
| 16:40-16:50 | Awards and Summary from the Chairs | |
| 16:50-17:20 | Panel discussion and brainstorming for the next steps | |
| 17:20-17:25 | Closing | |