Course

CS-503: Visual intelligence : machines and minds

Summary

The course will discuss classic material as well as recent advances in computer vision and machine learning relevant to processing visual data -- with a primary focus on embodied intelligence and vision for active agents.

Lectures

Official source

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

Moodle Page

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

About this result

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Summary

Lectures

Official source

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

Moodle Page

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

About this result

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.

Lectures in this course (16)

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