Machine Perception Group - HUJI
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Welcome to the Machine Perception Group

The Machine Perception Group at the School of Computer Science and Engineering develops algorithms and methods that will allow computers to reach the remarkable performance of humans, and in some cases even surpass human ability.

The Computer Vision Group’s current focus includes the analysis of multiple images, which entails computing a scene’s 3D structure from multiple views; improving image quality; video summarization; image segmentation and classification; visual recognition; visual learning; indexing into image and video databases; and visual perception, or psychophysics.

The Group’s breakthrough research has led to the creation of new companies and commercial applications in a wide range of industries, including transportation (camera-based systems for driver assistance, cruise control, and lane-change indicators); measurement of automobile parts; and applications for the entertainment, graphics, design and security industries.

Mona Lisa Pixels

People

Prof. Dani Lischinski

Prof. Dani Lischinski

danix@mail.huji.ac.il

Prof. Shmuel Peleg (Emeritus)

Prof. Shmuel Peleg
(Emeritus)

peleg@mail.huji.ac.il

Prof. Amnon Shashua

Prof. Amnon Shashua

shashua@cs.huji.ac.il

Prof. Daphna Weinshall

Prof. Daphna Weinshall

daphna@mail.huji.ac.il

Prof. Yair Weiss

Prof. Yair Weiss

yair.weiss@mail.huji.ac.il

Prof. Michael Werman

Prof. Michael Werman

michael.werman@mail.huji.ac.il

Courses

Image Processing

Image Processing

67829

Introduction to digital image processing: description of the imaging process, and learning basic concepts and operations.

Neural Networks for Images

Neural Networks for Images

67103

The course is meant to provide the student an introductory working knowledge of modern neural networks that are in use in computer vision and image processing.

Introduction to Deep Learning

Introduction to Deep Learning

67822

An introduction to deep learning, the course will describe various common network architectures and tools for applying them in different fields of CS

Applied Deep Learning

Applied Deep Learning

67912

The course includes a wide overview of advanced deep learning topics. Additionally, it also includes a research project.

Computer Graphics

Computer Graphics

67609

Introduction to Computer Graphics. The course covers geometric transformations, color and shading of surfaces, curves, rendering, and more.

Computational Photography

Computational Photography

67735

Computational photography is a research area where image processing and computer vision meet computer graphics to yield tools that extend the boundaries of conventional photography.

Human Vision: A Computational Approach

Human Vision: A Computational Approach

76921

Understanding Human Vision from a computational perspective while performing computational analysis of visual illusions and implementing computer vision algorithms.

Computer Vision 3D

Computer Vision 3D

67542

The course will present the fundamental computational models behind scene interpretation, motion understanding and object recognition.

Computer Vision Seminar

Computer Vision Seminar

67839/67512

Lectures will be given by invited guest speakers. In addition, students who participate in the seminar will present their research area or papers from the professional literature.

Seminar in Computer Graphics and Computational Photography

Seminar in Computer Graphics and Computational Photography

67811

Selected state-of-the-art papers from computer graphics and computational photography will be presented and discussed.

Computer Vision Seminar: 3D Representation and Generation

Computer Vision Seminar: 3D Representation and Generation

67881

Students will be exposed to state-of-the-art research in 3D representation and generation, typically papers published in the recent top conferences in the field.

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