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Course

CS-503: Visual intelligence

Summary

This course covers both classic concepts and recent advances in computer vision and machine learning for processing visual data -- with a primary focus on embodied intelligence and multimodal learning

Lectures

Instructor

Amir Roshan Zamir

Amir Zamir is a Tenure-Track Assistant Professor of Computer Science at the Swiss Federal Institute of Technology in Lausanne (EPFL). Prior to EPFL, he spent time at Stanford, UC Berkeley, and UCF. His research interests are broadly in computer vision, machine learning, perception-for-robotics, and AI. He has been recognized with CVPR (2018) Best Paper Award, CVPR (2016) Best Student Paper Award, CVPR (2020) Best Paper Award Nomination, and NVIDIA Pioneering Research Award (2018), among others. His research has been covered by various press outlets, such as The New York Times or Forbes.

Official source

https://edu.epfl.ch/coursebook/en/visual-intelligence-CS-503

Moodle Page

http://go.epfl.ch/CS-503

About this result

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Summary

Lectures

Instructor

Amir Roshan Zamir

Official source

https://edu.epfl.ch/coursebook/en/visual-intelligence-CS-503

Moodle Page

http://go.epfl.ch/CS-503

About this result

Lectures in this course (16)

Feedback Mechanisms in Visual Intelligence and Adaptation Log in to Mediaspace to watch this video

Explores the significance of feedback mechanisms in visual intelligence and adaptation processes.

Neuroscience and Machine Learning: Understanding Visual Intelligence Log in to Mediaspace to watch this video

Explores the relationship between neuroscience and machine learning in visual intelligence.

Transformers in Vision: Applications and Architectures Log in to Mediaspace to watch this video

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

Untitled Log in to Mediaspace to watch this video

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