Time |
Program |
8:30 - 10:00 |
Session 1: Reconstruction I
- Introduction to Visual odometry and Depth from RGB-D
- Visual Odometry: Akihiro Yamamoto (CMU)
"Visual Odometry by Multi-frame Feature Integration"
- Depth from RGB: Marc Pollefeys (ETHZ)
"Pulling Things out of Perspective"
|
10:00 - 10:30 |
Coffee Break |
10:30 - 12:40 |
Session 2: Reconstruction II
- Introduction to Stereo and Optical Flow
- Scene Flow: Christoph Vogel (ETHZ)
"tbd"
- Stereo: Ce Liu (MIT)
"Grouping-Transfer RF"
|
12:40 - 14:30 |
Lunch Break |
14:30 - 15:40 |
Session 3: Recognition I
- Introduction to Detection and Tracking
- Car Detection: Peter Gehler (MPI)
"tbd"
- Pedestrian Detection: Jiaolong Xu (UAB) and Sebastian Ramos (UAB)
"Domain Adapted Pedestrian Detector"
- Tracking: Anton Milan (TU Darmstadt)
"Energy Minimization for Multiple Object Tracking"
|
15:40 - 16:10 |
Coffee Break |
16:10 - 18:00 |
Session 4: Recognition II
- Introduction to Segmentation and 3D Detection
- Segmentation: Ross Girshick (UC Berkeley)
"Semantic Segmentation for RGB-D Images"
- Segmentation: Dan Banica (IMAR)
"Baseline with CPMC and O2P extended to use depth"
- 3D Detection: Ruiqi Guo (UIUC)
"tbd"
- Discussion / Future challenges
|