Visual Intelligence: Machines and Minds

Related lectures (32)

Page 3 of 4

Offers a historical overview of computer vision, exploring key developments and influential figures in the field.

Explores using buildings for ancillary services and understanding building managers' cognitive processes.

Explores challenges and solutions in fine-grained visual categorization, focusing on computer vision and machine learning.

Covers the basics of computer vision, focusing on image processing techniques and feature detection.

Explores anatomic conventions, homunculus mapping, and body scheme integration in perception and action.

Explores a 2019 paper on image recognition, dataset challenges, biases, and the impact of large-scale datasets on deep learning models.

Covers visual recognition models, scene graphs, neural networks, and embodied vision.

Covers Neural Taskonomy, the evolution of neural networks, and historical perspectives in visual intelligence.

Examines the historical challenges of managing information and the evolution of information management tools to cope with information overload.

Explores Transformers in computer vision, focusing on 'Attention Is All You Need' architecture and its applications in visual tasks.