Visual Theories: Vision and Perception

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Urban Economics: Multiple Models

Explores urban economics models, spatial analysis, and rental price factors.

Visual Intelligence: Machines and Minds

Explores visual intelligence, perception, image classification, and the connection between vision and action in complex systems.

Human Vision: Optics and Perception

Explores human vision optics, eye structure, image formation, magnification, and wave divergence.

Theory of reinforcement learning: Introductory question

Covers the theory of reinforcement learning, exploring exploration/exploitation dilemma and continuous state/action spaces.

Visual Variables in Cartography

Covers visual variables in cartography, including interactions, laws of visual perception, and color coding.

Visual Intelligence: Machines and Minds

Explores the history and techniques of computer vision, covering image formation, transformation, dynamic perspectives, and 3D estimation cues.

Deep Learning for Autonomous Vehicles

Explores deep learning for autonomous vehicles, covering perception, action, and social forecasting in the context of sensor technologies and ethical considerations.

Transformers in Vision: Applications and Architectures

Covers the impact of transformers in computer vision, discussing their architecture, applications, and advancements in various tasks.

Visual Prostheses: History and Intracortical Stimulation

Explores the history and challenges of visual prostheses, focusing on intracortical microstimulation for artificial vision.

Understanding Human Perception

Discusses human perception mechanisms and processes in interpreting the world.