Neural Semantic 3D World Modeling and Mapping
This lecture overviews neural semantic 3D world modeling and mapping that has many applications in 3D world mapping and in attaching semantics to the world maps It covers the following topics in detail: neural disparity/depth estimation and joint
Neural SLAM
This lecture overviews Neural SLAM that has many applications in robotic and autonomous vehicle localization and mapping.
Computational Cinematography
This lecture overviews Computational Cinematography that has many applications in filming, notably in drone cinematography.
Introduction to 2D Computer Vision
This lecture overviews digital images and 2D Computer Vision (image analysis).
Object Pose Estimation
This lecture overviews object pose estimation that has many applications in Human-Robotic Interaction (HRI), Robotics and Augmented Reality.
Simultaneous Localization and Mapping
The lecture includes the essential knowledge about how we obtain/get 2D and/or 3D maps that robots/drones need, taking measurements that allow them to perceive their environment with appropriate sensors.