9:00 - 9:05 Welcome and overview
9:05 - 9:30 Intro (Jana)
- Motivating examples
- Perceptions Problems
- From handcrafted features to feature learning
- Earlier and current pipelines
9:30-10:30 Perception for Vision and robotics (Anelia)
- Classification CNN architectures, Inception, Resnet, Densenet
- Classification applications in Robotics
- Detection architectures: Faster-RCNN
- Detection applications in Robotics
10:30-11:00 Coffee break
11:00 -11:45 Applications Part 1 (Jana)
Pose estimation and matching
Scene Segmentation and Dense prediction
11:45-12:30 Applications Part 2 (Anelia)
Grasping
- Grasp detection
- End-to-end and self-supervised grasping
Learning from videos
- Temporal Learning
- Self-supervised learning of depth and ego-motion