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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html><head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8"><title>CSE291-F00: ML Meets Geometry Home Page</title>
<link rel="stylesheet" type="text/css" href="cs468.css"></head><body>
<h1 align="center"><font color="#800000"> Machine Learning Meets Geometry </font></h1>
<p></p><h2 align="center"><font color="#800000"> CSE291 (8) - Winter 2022</font></h2><p></p>
<br>
<div id="content">
<div class="underlinemenu">
<ul>
<li><a href="index.html">Home</a></li>
<li><a href="index.html#announcements">Announcements</a></li>
<li><a href="index.html#info">General Info</a></li>
<li><a href="resources.html">Resources</a></li>
<li><a href="schedule.html">Schedule & Assignments</a></li>
<li><a target="_blank" href="https://piazza.com/class/kxzrdm8dyv112e">Piazza</a></li>
<li><a href="https://www.google.com/url?q=https://ucsd.zoom.us/j/91562690632&sa=D&source=calendar&ust=1641712826650261&usg=AOvVaw3m7_aoNfldu5gP2cuHHXy6">Zoom</a></li>
</ul>
</div>
<div class="underlinemenu"> </div>
<a name="announcements"></a>
<h3>Announcements</h3>
01/04/2022: Welcome to the course! <br>
01/04/2022: <b>Homework 0</b> is released on Piazza, due 01/12/2022 23:59 PM
<a name="info"></a>
<hr>
<h3>General Information</h3>
<strong>Times & Places</strong>
<br>TuTh 3:30PM - 4:50PM, Zoom link on Piazza<br><br>
<a name="staff"></a>
<strong>Course Staff</strong>
<table id="hor-minimalist-a" summary="Course Staff">
<thead>
<tr>
<th scope="col"><br>
</th>
<th scope="col">Name</th>
<th scope="col">Email</th>
<th scope="col">Office Hours</th>
<th scope="col">Location</th>
</tr>
</thead>
<tbody>
<tr>
<td>Instructor</td>
<td>Hao Su</td>
<td>haosu@eng.ucsd.edu </td>
<td>Tuesday 2-3 PM</td>
<td>see Piazza</td>
</tr>
<tr>
<td>Teaching Assistant</td>
<td>Jiayuan Gu</td>
<td>jigu@eng.ucsd.edu</td>
<td>Monday 2-3PM</td>
<td>see Piazza</td>
</tr>
<tr>
<td>Teaching Assistant</td>
<td>Xiaoshuai Zhang</td>
<td>xiz040@eng.ucsd.edu</td>
<td>Thursday 1PM-2PM</td>
<td>see Piazza</td>
</tr>
</tbody>
</table>
<br>
<h4>Objectives</h4>This is a graduate level course to teach
state-of-the-art concepts and algorithms of geometry that are being
used in computer graphics, computer vision and machine learning. It
should enable you to read and replicate recent 3D papers in top
CV/CG conferences (not industry job oriented).
<br>
<h4>Prerequisites</h4>
<ul>
<li><b>Skilled</b> in linear algebra</li>
<li><b>Familiar</b> with Multi-Variable Calculus</li>
<li><b>Familiar</b> with Probability and Numerical Methods</li>
<li><b>Strong</b> programming skills (Linux toolchain, Python, Numpy, PyTorch)</li>
</ul>
<h4>Grading</h4>
<ul>
<li>Homework 0 5%</li>
<li>Homework 1 20%</li>
<li>Homework 2 20%</li>
<li>Homework 3 20%</li>
<li>Final project 35%</li>
<li>Extra credit for participation 5% (ask/answer questions in class, attend office hours)</li>
<li>There will not be a final exam. </li>
</ul>
<h4>Syllabus</h4>
<ul>
<li>Geometry Basics</li>
<ul>
<li>1D/2D/3D Geometry</li>
<li>Transformation</li>
<li>Storing Geometry in Computer</li>
<li>Global Geometry</li>
</ul>
<li>3D Reconstruction</li>
<ul>
<li>Single-image to 3D</li>
<li>Multiview 3D</li>
</ul>
<li>3D Recognition</li>
<ul>
<li>Classification</li>
<li>Detection</li>
<li>Segmentation</li>
<li>6D Pose Estimation</li>
</ul>
<li>3D Geometry Processing</li>
<ul>
<li>Point Cloud Processing</li>
<li>Learning-based Mesh Processing</li>
</ul>
<li>Part-based 3D Understanding</li>
<ul>
<li>Part-based Generative Model</li>
<li>Zero-shot 3D Understanding</li>
<li>Mobility</li>
<li>Human and Hand Pose</li>
</ul>
<li>3D Shape Collection</li>
<ul>
<li>Pairwise Correspondence</li>
<li>Collection Correspondence</li>
</ul>
</ul>
<hr>
</div>
</body>
</html>