Advanced Computer Vision

CSE 252C: Advanced Computer Vision, Spring 2020

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

Lectures: WF 5-6:20pm on Zoom
Instructor office hours: Thu 1-2pm on Zoom

TA: Zhengqin Li (zhl378@eng.ucsd.edu)
TA office hours: Mon 10-11am on Zoom

TA: You-Yi Jau (yjau@eng.ucsd.edu)
TA office hours: Tue 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. The class will be composed of lectures by the instructor, but students will also do one lightning presentation. Grading will be based on presentation (there will be an asynchronous option), assignments and a final exam.

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 primarily covered by the instructor. Each student will be asked to give a short presentation on an assigned paper. The presentation will last 5 minutes and an option will be provided to pre-record it. 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.

Topics

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

Outline

Apr 01: Introduction Apr 03: Overview Quiz 0 Apr 08: Correspondence Apr 10: Metric learning Apr 15: Keypoint detection and matching Apr 17: Optical flow Apr 22: Structure from Motion Homework 1 Apr 24: Learning Structure from Motion Apr 29: Practical Structure from Motion Quiz 1 May 01: Face Recognition: I May 06: Face Recognition: II May 08: Human Pose Estimation: I Homework 2 May 13: Human Pose Estimation: II Quiz 2 May 15: Semantic segmentation: I May 20: Semantic segmentation: II May 22: Object detection: I Homework 3 May 27: Object detection: II May 29: Domain adaptation Quiz 3 Jun 03: Review Jun 05: In-class final exam Jun 08: Take-home final exam

Resources

Manmohan Chandraker
Last modified: Sat, Mar 28, 2020