WiSh 2021
Group 3 Schedule
We willl use the BIRS/CMO Zoom platform with breakout rooms for each group.
Monday June 14th
2:00pm-2:30pm
(GMT+1)
Gather Town CMO Meeting room 3
Settling in, getting to know each other in the group
2:30pm-3:00pm
(GMT+1)
Introduction to box splines
Nelly Villamizar
3.00 pm–3.30 pm
(GMT+1)
Introduction to hierarchical spline spaces
Carlotta Giannelli
3.30 pm–4.00 pm
(GMT+1)
Plan for next day
4.00 pm–4.45 pm
(GMT+1)
Research problem presentation by group leaders
Ilke Demir : Project 1- 3D Deep Learning for Shape Understanding
Cindy Grimm : Project 2 - Robotic grasping
Nelly Villamizar : Project 3 - Algebraic and geometric tools in computational design
Angelica Aviles-Rivero : Project 4- Classic, Hybrid and Data-Driven Models for Skeleton Extraction From Images
Tuesday June 15th
2.00 pm–2.45 pm
(GMT+1)
Box splines characterization
Nelly Villamizar
3.00 pm–3.45 pm
(GMT+1)
Properties of hierarchical spline spaces
Carlotta Giannelli
4.00 pm–4.45 pm
(GMT+1)
Group discussion: directions, literature, presentation next day
Wednesday June 16th
1.00 pm–1.45 pm
(GMT+1)
Group discussion
2.00 pm–2.45 pm
(GMT+1)
New directions, Isogeometric analysis applications
4.00 pm–4.45 pm
(GMT+1)
Informal update on progress and challenges
Project 1 - 3D Deep Learning for Shape Understanding
Project 2 - Robotic grasping
Project 3 - Algebraic and geometric tools in computational design
Project 4 - Classic, Hybrid and Data-Driven Models for Skeleton Extraction From Images
Thursday June 17th
2.00 pm–2.45 pm (GMT+1)
Discussion led by Team 1
3.00 pm–3.45 pm (GMT+1)
Discussion led by Team 2
4.00 pm–4.45 pm (GMT+1)
Group discussion: future work, new directions, presentation next day
Friday June 18th
2.00 pm–2.45 pm (GMT+1)
Summary of the week
3.00 pm–3.45 pm (GMT+1)
Future plans
4.00 pm–4.45 pm (GMT+1)
Formal update on progress and future plans
Project 1 - 3D Deep Learning for Shape Understanding
Project 2 - Robotic grasping
Project 3 - Algebraic and geometric tools in computational design
Project 4 - Classic, Hybrid and Data-Driven Models for Skeleton Extraction From Images