CSE 252D: Advanced Computer Vision (original) (raw)

CSE 252D: Advanced Computer Vision, Spring 2021

Instructor: Manmohan Chandraker
Email: mkchandraker [AT] eng [DOT] ucsd [DOT] edu

Lectures: WF 5-6:20pm on Zoom
Instructor office hours: Thu 3-4pm on Zoom

TA: Yu-Ying Yeh (yuyeh@eng.ucsd.edu)
TA office hours: Mon 10-11am on Zoom

Class discussion and message board: Piazza

Overview

This course will cover advanced concepts in computer vision. Example topics include 3D reconstruction, face recognition, object detection, semantic segmentation and domain adaptation.

Prerequisites

This is an advanced class, covering recent developments in computer vision and will extensively refer to papers. Prior background in computer vision and machine learning is required, through research experience or as covered by CSE 252A, 252B, 250B and similar offerings. Students are encouraged to contact the instructor if unsure about meeting any criteria for enrollment.

Course Format and Requirements

This will be a lecture-based course in which the majority of the material will be covered by the instructor. Students will also give a short presentation on an assigned paper (there will be an asynchronous option). Besides, the class will have three assignments and a final exam.

Grades will be weighted as 60% for assignments, 10% for presentation and 30% for the final exam. The goal of the course is to understand the current state of computer vision and gain appreciation of its limits and potential.

Topics

The course will cover a diverse range of topics in computer vision, including:

Outline

Mar 31: Introduction

Resources

Manmohan Chandraker

Last modified: Sun, Mar 28, 2021