Lectures related to Synthetic Training Data via Generative Models

Covers the fundamentals of computer vision, illusions, challenges, applications, and history.

Explores topology concepts and edge detection in computer vision, highlighting the significance of contours and gradients in image analysis.

Explores visual intelligence, image formation, computer vision, and representation understanding in machines and minds.

Discusses quadrotor navigation using deep reinforcement learning and low-level control, focusing on visual intelligence and gaze model robustness.