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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<link rel="icon" type="image/png" href="data/seal_icon.png">
<title>Learning for 3D Vision</title>
<meta http-equiv="content-type" content="text/html; charset=utf-8" />
<link href="../data/default.css" rel="stylesheet" type="text/css" />
<meta property='og:title' content='Learning for 3D Vision' />
<meta property='og:url' content='https://learning3d.github.io/' />
<meta property='og:image' content='https://learning3d.github.io/data/teaserim.png' />
<meta property="og:type" content="website" />
<script src="https://unpkg.com/htmlincludejs"></script>
</head>
<body>
<div id="header">
<div id="logo">
<include src="./header.html"></include>
<p align="center">This schedule is preliminary and subject to change as the term
evolves.</p>
<table class="schedule" align="center" border="1" width="980">
<tbody>
<tr>
<td align="center" width="60"><strong>Lecture</strong></td>
<td align="center" width="114"><strong>Date</strong></td>
<td align="center" width="260"><strong>Topic</strong></td>
<td align="center" width="260"><strong>Suggested Reading</strong></td>
<td align="center" width="140"><strong>Assignments</strong></td>
</tr>
<tr><td colspan="5" class="schedule_week" align="center" height="20" valign="middle">WEEK 1</td></tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">1</td>
<td sdnum="1033;0;@" align="center"> Mon 01/13/2025</td>
<!-- <td align="left"> <a href="https://www.dropbox.com/s/6cbvszmdfer0eps/L01_Overview.pdf?dl=0">Introduction</a></td> -->
<td align="left"> <a href="https://www.dropbox.com/scl/fi/bzydap1sqxjyhyean0k6y/L01_Overview.pdf?rlkey=36zcu8yw7j1h41d05yxy3cvx4&dl=0">Introduction</a> (Ioannis, Shubham) </td>
<td align="left">
</td>
<td align="left">
Assignment 0 Out
</td>
</tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">2</td>
<td sdnum="1033;0;@" align="center"> Wed 01/15/2025</td>
<td align="left"> <a href="https://www.dropbox.com/scl/fi/b7fz36gixsh0fznoe3rfk/L02_3D_Representations.pdf?rlkey=8pvdr3jgnqvgn7upta33dugwg&dl=0">3D Representations I</a> (Ioannis) </td>
<td align="left">
</td>
<td align="left">
</td>
</tr>
<tr><td colspan="6" class="schedule_week" align="center" height="16" valign="middle">WEEK 2</td></tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">3</td>
<td sdnum="1033;0;@" align="center"> Wed 01/22/2025</td>
<td align="left"> <a href="https://www.dropbox.com/scl/fi/imsg6bje1g7hglgxh8jf0/L03_3D_Representations_II.pdf?rlkey=e9jw9ce4irc2rjpybucio5h51&dl=0">3D Representations II</a> (Shubham) </td>
<td align="left">
<td align="left">
Assignment 0 Due
<br>
Assignment 1 Out
</td>
</tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16"> </td>
<td sdnum="1033;0;@" align="center"> Fri 01/24/2025</td>
<td align="left">Pytorch3D Tutorial (NSH 3002, 4-5pm)</td>
<td align="left"> <a href="https://colab.research.google.com/drive/1ccXaEmj14WHeythHwbY6QoU4nZWCo-Ka?usp=sharing"> colab notebook </a>
</td>
<td align="left">
</td>
</tr>
<tr><td colspan="6" class="schedule_week" align="center" height="16" valign="middle">WEEK 3</td></tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">4</td>
<td sdnum="1033;0;@" align="center"> Mon 01/27/2025</td>
<td align="left"><a href="https://www.dropbox.com/scl/fi/fvvs8qnbyonpmqtp8w3yx/L04_Image_Formation.pdf?rlkey=90hhwd653lsykfccitiplfee5&dl=0">Image Formation</a> (Ioannis)</td>
<td align="left">
</td>
<td align="left">
</td>
</tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">5</td>
<td sdnum="1033;0;@" align="center"> Wed 01/29/2025</td>
<td align="left"><a href="https://www.dropbox.com/scl/fi/t2oelqxenzyczivbih7j5/L05_Sv3D.pdf?rlkey=2duct7rv9hnmmevefz2vdubop&dl=0">Single-view 3D: History</a> (Ioannis)</td>
<td align="left">
<a href="https://arxiv.org/abs/1406.2283">Depth Map Prediction from a Single Image using a Multi-Scale Deep Network</a><br><br>
<a href="https://arxiv.org/abs/1907.01341">Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer</a><br><br>
<a href="https://arxiv.org/abs/2312.02145">Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation</a>
</td>
<td align="left">
</td>
</tr>
<tr><td colspan="6" class="schedule_week" align="center" height="16" valign="middle">WEEK 4</td></tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">6</td>
<td sdnum="1033;0;@" align="center"> Mon 02/03/2025</td>
<!-- <td align="left"><a href="https://www.dropbox.com/scl/fi/uf4wvla04ucbi6nl3p40t/L06_Sv3D_Objects.pdf?rlkey=frctyg642h3hb0dfuc7uny0x6&dl=0">Single-view 3D: Objects</a></td> -->
<td align="left"><a href="https://www.dropbox.com/scl/fi/k2h3oxlsoywnl70lzykfe/L06_Sv3D_Depth_and_Objects.pdf?rlkey=rfdbj3mlmu20wp95qwbk9x630&dl=0">Single-view 3D: Depth & Objects</a> (Shubham)</td>
<td align="left">
<a href="https://arxiv.org/abs/1603.08637">Learning a predictable and generative vector representation for objects</a><br><br>
<a href="https://arxiv.org/abs/1812.03828">Occupancy Networks: Learning 3D Reconstruction in Function Space</a><br><br>
<a href="https://arxiv.org/abs/1802.05384">AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation</a>
</td>
<td align="left">
</td>
</tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">7</td>
<td sdnum="1033;0;@" align="center"> Wed 02/05/2025</td>
<td align="left">
<!-- <a href="https://www.dropbox.com/scl/fi/4ojlyt5vn1bzy8uznny7c/L07_Sv3D_Objects_II.pdf?rlkey=u67rapue018d9uaoodenz2zza&dl=0">Single-view 3D: Objects (II)</a> <br><br>
<a href="https://www.dropbox.com/scl/fi/7vjj2tuguzb9y87u4i11t/L07_Projects.pdf?rlkey=m5j14epuqwbonyekxw3osghna&dl=0">Projects: Selection and Timeline</a> -->
<a href="https://www.dropbox.com/scl/fi/huh70f7wq72398ja7d52j/L07b_Sv3D_Objects_II.pdf?rlkey=6ej3rlcannkt77zbu11dd06lp&dl=0">Single-view 3D: Objects II</a> (Shubham)<br><br>
<a href="https://www.dropbox.com/scl/fi/80shj2wfqr6foxeq6ew4a/L07a_Projects.pdf?rlkey=3v4zm12msyi4uew1wxkbxou4x&dl=0">Projects: Selection and Timeline</a> (Shubham)
</td>
<td align="left">
<a href="https://arxiv.org/abs/1803.07549">Learning Category-Specific Mesh Reconstruction from Image Collections</a><br><br>
<a href="https://arxiv.org/abs/2007.08501">Accelerating 3D Deep Learning with PyTorch3D</a>
</td>
<td align="left">
Assignment 1 Due
<br>
Assignment 2 Out
</td>
</tr>
<tr><td colspan="6" class="schedule_week" align="center" height="16" valign="middle">WEEK 5</td></tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">8</td>
<td sdnum="1033;0;@" align="center"> Mon 02/10/2025</td>
<td align="left">
<!-- <a href="https://www.dropbox.com/scl/fi/4ojlyt5vn1bzy8uznny7c/L07_Sv3D_Objects_II.pdf?rlkey=u67rapue018d9uaoodenz2zza&dl=0">Single-view 3D: Objects (II)</a> <br><br>
<a href="https://www.dropbox.com/scl/fi/7vjj2tuguzb9y87u4i11t/L07_Projects.pdf?rlkey=m5j14epuqwbonyekxw3osghna&dl=0">Projects: Selection and Timeline</a> -->
<a href="https://www.dropbox.com/scl/fi/g151iaa12k1nsn2fb4kdb/L08_Sv3D_Humans.pdf?rlkey=j12ppyw0nh4wxo63tp1lvn4f2&dl=0">Single-view 3D: Humans, Hands, and Animals</a> (Shubham)<br><br>
</td>
<td align="left">
<a href="https://files.is.tue.mpg.de/black/papers/SMPL2015.pdf">SMPL: A Skinned Multi-Person Linear Model</a><br><br>
<a href="https://arxiv.org/abs/2201.02610">Embodied Hands: Modeling and Capturing Hands and Bodies Together</a><br><br>
<a href="https://arxiv.org/abs/1712.06584">End-to-end Recovery of Human Shape and Pose</a><br><br>
<a href="https://dove3d.github.io/">DOVE: Learning Deformable 3D Objects by Watching Videos</a>
</td>
<td align="left">
</td>
</tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">9</td>
<td sdnum="1033;0;@" align="center"> Wed 02/12/2025</td>
<!-- <td align="left"><a href="https://www.dropbox.com/scl/fi/5541ggkk5a2gxvxbq510u/L09_Volume_Rendering.pdf?rlkey=kzor7vp3gxxcldjex87u6sp5s&dl=0">Volume Rendering</a> </td> -->
<td align="left"><a href="https://www.dropbox.com/scl/fi/d60s8yj88to6xi44o14r9/L09_Volume_Rendering.pdf?rlkey=xau5t9jhpaw0opocux5scivf3&dl=0">Volume Rendering</a> (Ioannis) </td>
<td align="left">
<a href="https://arxiv.org/abs/2209.02417">Volume Rendering Digest</a>
</td>
<td align="left"> </td>
</tr>
<tr><td colspan="6" class="schedule_week" align="center" height="16" valign="middle">WEEK 6</td></tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">10</td>
<td sdnum="1033;0;@" align="center"> Mon 02/17/2025</td>
<td align="left"><a href="https://www.dropbox.com/scl/fi/6g3yrckc6q1z89ueui4vb/L10_Neural_Radiance_Fields.pdf?rlkey=0n6fwmfhfq297f5orbkv0lihq&dl=0">Neural Radiance Fields</a> (Ioannis)</td>
<td align="left">
<a href="https://arxiv.org/abs/2003.08934">NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis</a><br><br>
<a href="https://arxiv.org/abs/2112.05131">Plenoxels: Radiance Fields without Neural Networks</a><br>
<a href="https://arxiv.org/abs/2205.10824">ReLU Fields: The Little Non-linearity That Could</a><br><br>
<a href="https://nvlabs.github.io/instant-ngp/">Instant Neural Graphics Primitives with a Multiresolution Hash Encoding</a>
</td>
<td align="left">
</td>
</tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">11</td>
<td sdnum="1033;0;@" align="center"> Wed 02/19/2025</td>
<td align="left"> <a href="https://www.dropbox.com/scl/fi/wa21x4rwqml8p931peux2/L11_Rendering_Implicits.pdf?rlkey=axnrygucrojo15xjkk3lvdmpx&dl=0">(Neural) Implicit Rendering</a> (Ioannis)</td>
<td align="left">
<a href="https://arxiv.org/abs/2003.09852">Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance</a><br><br>
<a href="https://arxiv.org/abs/2106.12052">Volume Rendering of Neural Implicit Surfaces</a><br><br>
<a href="https://arxiv.org/abs/2106.10689">NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction</a><br><br>
<a href="https://arxiv.org/abs/2312.15406">Objects as volumes: A stochastic geometry view of opaque solids</a>
</td>
<td align="left">
Assignment 2 Due
<br>
Assignment 3 Out
</td>
</tr>
<tr><td colspan="6" class="schedule_week" align="center" height="16" valign="middle">WEEK 7</td></tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">13</td>
<td sdnum="1033;0;@" align="center"> Mon 02/24/2025</td>
<td align="left"><a href="https://www.dropbox.com/scl/fi/es116yae6gzb2en1esk2m/L12_Neural_Surface_Rendering.pdf?rlkey=994o6zwfwacuqmvpbrt9wuakk&dl=0">(Neural) Surface Rendering: Appearance</a> (Ioannis)</td>
<td align="left">
<a href="https://jasonyzhang.com/ners/">NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild</a><br><br>
<a href="https://kai-46.github.io/PhySG-website/">PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting</a>
</td>
<td align="left">
</td>
</tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">12</td>
<td sdnum="1033;0;@" align="center"> Wed 02/26/2025</td>
<td align="left">Differentiable Primitive (e.g. Gaussians, Triangles) Rendering (Ioannis)</td>
<td align="left">
<a href="https://arxiv.org/abs/1904.01786">Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning</a><br><br>
<a href="https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/">3D Gaussian Splatting for Real-Time Radiance Field Rendering</a>
</td>
<td align="left">
Project Proposals Due
</td>
</tr>
<tr><td colspan="6" class="schedule_week" align="center" height="16" valign="middle">WEEK 8 - Spring Break</td></tr>
<tr><td colspan="6" class="schedule_week" align="center" height="16" valign="middle">WEEK 9</td></tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">14</td>
<td sdnum="1033;0;@" align="center"> Mon 03/10/2025</td>
<td align="left">
LightField Rendering (Ioannis)
</td>
<td align="left">
<a href="https://arxiv.org/abs/1901.05103">DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation</a><br><br>
<a href="https://arxiv.org/abs/2012.02189">Learned Initializations for Optimizing Coordinate-Based Neural Representations</a><br><br>
<a href="https://arxiv.org/abs/2012.02190">pixelNerf: Neural Radiance Fields from One or Few Images</a>
</td>
<td align="left">
</td>
</tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">15</td>
<td sdnum="1033;0;@" align="center"> Wed 03/12/2025</td>
<td align="left">
Sparse View 3D and View Synthesis (Ioannis)
</td>
<td align="left">
<a href="https://jkulhanek.com/viewformer/">ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers</a><br><br>
<a href="https://sparsefusion.github.io">SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction</a><br><br>
<a href="https://reconfusion.github.io/">ReconFusion: 3D Reconstruction with Diffusion Priors</a>
</td>
<td align="left">
Assignment 3 Due
<br> Assignment 4 Out
</td>
</tr>
<tr><td colspan="6" class="schedule_week" align="center" height="16" valign="middle">WEEK 10</td></tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">16</td>
<td sdnum="1033;0;@" align="center"> Mon 03/17/2025</td>
<td align="left">
<!-- <a href="https://www.dropbox.com/scl/fi/tcqxrz5dpxtn5a5ghgn9b/L16_3D_from_2D_Diffusion.pdf?rlkey=4n0yh03wxpwic0okna8i7ldx1&dl=0">Distilling 3D from 2D Diffusion</a> -->
Distilling 3D from 2D Diffusion (Shubham)
</td>
<td align="left">
<a href="https://dreamfusion3d.github.io/">DreamFusion: Text-to-3D using 2D Diffusion</a><br><br>
<a href="https://arxiv.org/abs/2212.00774">Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation</a><br><br>
<a href="https://zero123.cs.columbia.edu/">Zero-1-to-3: Zero-shot One Image to 3D Object</a>
</td>
<td align="left">
</td>
</tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">17</td>
<td sdnum="1033;0;@" align="center"> Wed 03/19/2025</td>
<td align="left">
<!-- <a href="https://www.dropbox.com/scl/fi/vve1sh56kjcycue8w3cs7/L17_Generative_3D.pdf?rlkey=rvaugufvxsg733h1xtq2n6iff&dl=0">Generative 3D Modeling</a> -->
Generative 3D Modeling (Shubham)
</td>
<td align="left">
<a href="https://arxiv.org/abs/1610.07584">Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling</a><br><br>
<a href="https://arxiv.org/abs/2203.09516">AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation</a><br><br>
<a href="https://arxiv.org/abs/2012.00926">pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis</a>
</td>
<td align="left">
</td>
</tr>
<tr><td colspan="6" class="schedule_week" align="center" height="16" valign="middle">WEEK 11</td></tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">18</td>
<td sdnum="1033;0;@" align="center"> Mon 03/24/2025</td>
<!-- <td align="left"><a href="https://www.dropbox.com/scl/fi/9qoa00elry47r2nb6w2u2/L18_Point_Cloud_Processing_I.pdf?rlkey=2nsommocc3q6jg8r3xs0uurjd&dl=0">Point Cloud Processing: Classification & Segmentation</a></td> -->
<td align="left">
Point Cloud Processing: Classification & Segmentation (Shubham)
</td>
<td align="left">
<a href="https://arxiv.org/abs/1612.00593">PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation</a><br><br>
<a href="https://arxiv.org/abs/2012.09164">Point Transformer</a><br><br>
<a href="https://arxiv.org/abs/2104.12229">Vector Neurons: A General Framework for SO(3)-Equivariant Networks</a><br><br>
<a href="https://arxiv.org/abs/1904.08755">4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks</a>
</td>
<td align="left">
</td>
</tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">19</td>
<td sdnum="1033;0;@" align="center"> Wed 03/26/2025</td>
<td align="left">
<!-- <a href="https://www.dropbox.com/scl/fi/7nvuoy2jc678simj4ke4p/L19_Point_Cloud_Processing_II.pdf?rlkey=000pp2om7s9i8zw2igibl8z64&dl=0">Point Cloud Processing: Detection</a></td> -->
Point Cloud Processing: Detection (Shubham)
<td align="left">
<a href="https://arxiv.org/abs/1711.08488">Frustum PointNets for 3D Object Detection from RGB-D Data</a><br><br>
<a href="https://arxiv.org/abs/1904.09664">Deep Hough Voting for 3D Object Detection in Point Clouds</a> </td>
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Assignment 4 Due
<br> Assignment 5 Out
</td>
</tr>
<tr><td colspan="6" class="schedule_week" align="center" height="16" valign="middle">WEEK 12</td></tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">20</td>
<td sdnum="1033;0;@" align="center"> Mon 03/31/2025</td>
<td align="left">
Processing Meshes (Shubham)
<!-- Guest Lecture by <a href="https://jasonyzhang.com/">Jason Zhang</a> (<a href="https://www.dropbox.com/scl/fi/a687zm13xn1nsbepx2qlp/L20_Pose_Estimation.pdf?rlkey=2ggj4g1n9lb856wzxkxyazk89&dl=0">Learning-based Pose Estimation</a>) -->
</td>
<td align="left">
<a href="https://arxiv.org/abs/1612.00606">SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation</a><br><br>
<a href="https://arxiv.org/abs/1809.05910">MeshCNN: A Network with an Edge</a>
</td>
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</td>
</tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">21</td>
<td sdnum="1033;0;@" align="center"> Wed 04/02/2025</td>
<td align="left">
<!-- <a href="https://www.dropbox.com/scl/fi/799ye16z882y4aiymbbg2/L21_Mesh_Processing.pdf?rlkey=hvwmids7zojm1r2yf90weysjc&dl=0">Processing Meshes</a> -->
Modeling 3D in Time (Shubham)
</td>
<td align="left">
<a href="https://arxiv.org/abs/2011.13084">Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes</a><br><br>
<a href="https://arxiv.org/abs/2011.12948">Nerfies: Deformable Neural Radiance Fields<a href></a>
</td>
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</td>
</tr>
<tr><td colspan="6" class="schedule_week" align="center" height="16" valign="middle">WEEK 13</td></tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">22</td>
<td sdnum="1033;0;@" align="center"> Mon 04/07/2025</td>
<td align="left">
Guest Lecture I (3D Detection)
</td>
<td align="left">
</td>
<td align="left">
</td>
</tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">23</td>
<td sdnum="1033;0;@" align="center"> Wed 04/09/2025</td>
<td align="left">
Guest Lecture II (3D + Robotics)
</td>
<td align="left">
</td>
<td align="left">
Assignment 5 Due
</td>
</tr>
<tr><td colspan="6" class="schedule_week" align="center" height="16" valign="middle">WEEK 14</td></tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">24</td>
<td sdnum="1033;0;@" align="center"> Mon 04/14/2025</td>
<td align="left">
Guest Lecture III (TBD)
</td>
<td align="left">
</td>
<td align="left">
</td>
</tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">25</td>
<td sdnum="1033;0;@" align="center"> Wed 04/16/2025</td>
<td align="left">
<!-- <a href="https://www.dropbox.com/scl/fi/dtyhouw7d4dcwe5wh94hv/L24_Conclusion.pdf?rlkey=ik5m1mxptg8esont2uahbcm3d&dl=0">Conclusion</a> -->
Conclusion (Ioannis, Shubham)
</td>
<td align="left">
</td>
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</td>
</tr>
<tr><td colspan="6" class="schedule_week" align="center" height="16" valign="middle">WEEK 15</td></tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">26</td>
<td sdnum="1033;0;@" align="center"> Mon 04/21/2025</td>
<td align="left">Poster Presentations: I</td>
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</td>
<td align="left">
</td>
</tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16">27</td>
<td sdnum="1033;0;@" align="center"> Wed 04/23/2025</td>
<td align="left">
Poster Presentations: II
</td>
<td align="left">
</td>
<td align="left">
</td>
</tr>
<tr><td colspan="6" class="schedule_week" align="center" height="16" valign="middle">WEEK 16</td></tr>
<tr>
<td sdval="2" sdnum="1033;" align="center" height="16"> </td>
<td sdnum="1033;0;@" align="center"> Wed 05/01/2025</td>
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</td>
<td align="left">
</td>
<td align="left">
Project Reports and Recorded Presentations Due
</td>
</tr>
</tbody>
</table>
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