Lihi Zelnik-Manor
[introductory] Introduction to Computer Vision and the Ethical Questions It Raises
Summary
Computer vision is one of the areas where the first success of deep learning happened. The methods are now maturing and reaching new horizons every day, with widely spread real-world applications. This course will introduce computer vision through the task of image classification and will focus on two main aspects: practicality and ethics. We will learn how deep learning is used for image classification and what are the key aspects that are important to make it accurately classify images. We will discuss open challenges to make algorithms work in practice. Throughout the course we will embed the ethical implications of using deep learning methods in computer vision, and will discuss how one can strive to act responsibly.
Syllabus
- A brief history of deep learning for image classification.
- The key algorithms and what makes them work.
- Comparison to classical algorithms and the intuitions gained from this.
- Practical considerations of algorithm deployment.
- Ethical aspects will be embedded throughout the lectures.
References
Computer Vision: Algorithms and Applications, 2nd ed., Richard Szeliski, The University of Washington, 2022
Pre-requisites
Knowledge of Linear Algebra and Statistics is required. Elementary concepts of Machine Learning will be highly helpful but not mandatory as we will give a brief review of needed concepts.
Short bio
Prof. Lihi Zelnik-Manor is a Full Professor and Vice Dean of Graduate Studies in the Faculty of Electrical and Computer Engineering at the Technion. Between 2018-2021 she was a Senior Director and the General Manager of Alibaba’s R&D center in Israel. Prior to that she was a visiting Associate Professor at CornellTech during its establishment years, and a Post-doctoral scholar at Caltech. Her main area of expertise is Computer Vision, in which she performs research as well as holds industry advisory roles. Prof Zelnik-Manor has done extensive community contribution, serving as General Chair of CVPR’21 and ECCV’22, Program Chair of CVPR’16, Associate Editor at TPAMI, served multiple times as Area Chair at CVPR, ECCV and was on the award committee of ACCV’18, CVPR’19 and CVPR’22. Looking forward she will serve as Program Chair of ICCV’27.
