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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<link rel="icon" href="https://www.ri.cmu.edu/wp-content/uploads/2017/04/ri-favicon.ico">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title>16824 Fall 2026</title>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css">
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<body>
<div class="container">
<table border="0" align="center">
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<td width="900" align="center" valign="middle"><h3>Carnegie Mellon University</h3>
<span class="title"> <h1>16-824: Visual Learning and Recognition</h1></span></td>
<!-- </tr>
<td colspan="3" align="center"><h3>VIS LRN & RECOG</h3> </td>
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</tr>
<td colspan="3" align="center"><h3>Fall 2026</h3> </td>
</tr>
<tr>
<td colspan="3" align="center"><span class="menubar">[ <a href="index.html">Home</a> | <a href="schedule.html">Schedule</a> | <a href="resources.html">Assignments and Resources</a> | <a href="https://piazza.com/cmu/fall2026/16824/">Piazza</a> | <a href="previous.html">Previous Offerings</a>]</span></td>
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<tr>
<td colspan="3" align="center"><h5>Mondays and Wednesdays, 2:00-3:20pm, TEP 1403</h5> </td>
</tr>
</table>
<br>
#<!--<p>This schedule is preliminary and subject to change as the term evolves.</p>-->
<table class="schedule" align="center" border="1" width="986">
<tbody>
<tr>
<td align="center" width="100"><strong>Date</strong></td>
<td align="center" width="220"><strong>Topics</strong></td>
<td align="center" width="250"><strong>Course Materials</strong></td>
<td align="center" width="100"><strong>Instructor</strong></td>
<td align="center" width="120"><strong>Deadlines</strong></td>
</tr>
<tr>
<td colspan="6" class="schedule_week" align="center" height="28" valign="middle">Week 1</td>
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<tr>
<td sdnum="1033;0;@" align="left">Lecture 1<br>Monday 08/24/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=14708297">Introduction</a></td>
<!-- <td align="left"><a href="">Slides [CMU only]</a> -->
<td>
<br>No Readings</br></td>
<td align="left">Jun-Yan</td>
<td></td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 2<br>Wednesday 08/26/26</td>
<!-- <td align="left"><a href="https://canvas.cmu.edu/courses/49562/files/folder/slides?preview=13109964">Introduction to Data</td> -->
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=14716261">Introduction to Data</a></td>
<td align="left"><br>Readings:<br>#1: <a href="https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/35179.pdf">Alon Halevy, Peter Norvig, and Fernando Pereira</a><br>#2: <a href="https://people.csail.mit.edu/torralba/publications/datasets_cvpr11.pdf">Antonio Torralba & Alexei A. Efros</a><br>#3: <a href="https://openaccess.thecvf.com/content_ICCV_2017/papers/Sun_Revisiting_Unreasonable_Effectiveness_ICCV_2017_paper.pdf">Chen Sun et al.</a><br>#4: <a href="https://arxiv.org/abs/1803.09010">Timnit Gebru et al. </a></td>
<td align="left">Jun-Yan</td>
<td></td>
</tr>
<tr>
<td colspan="6" class="schedule_week" align="center" height="28" valign="middle">Week 2</td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 3<br>Monday 08/31/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=14738269">Convolutional Neural Network</a></td>
<td align="left"><br>Readings:<br>#1: <a href="https://papers.nips.cc/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf">Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton</a><br>#2: <a href="https://arxiv.org/pdf/1409.1556.pdf">Karen Simonyan, Andrew Zisserman</a><br>#3: <a href="https://arxiv.org/pdf/1512.03385.pdf">Kaiming He et.al.</a><br>#4: <a href="https://arxiv.org/abs/2201.03545">Zhuang Liu et al. </a></td>
<td align="left">Jun-Yan</td>
<td></td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Bonus Lecture<br>Wednesday 09/02/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=14753284">PyTorch</a> and <a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=14753280">AWS</a> Tutorial</td>
<td></td>
<td align="left">Avigyan, Shen</td>
<td></td>
</tr>
<tr>
<td colspan="6" class="schedule_week" align="center" height="28" valign="middle">Week 3</td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left"><br>Monday 09/07/26</td>
<td align="left">Labor Day; No class.</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 4<br>Wednesday 09/09/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=14813479">Visualizing and Understanding Neural Nets</a></td>
<td align="left"><br>Readings:<br>#1: <a href="https://arxiv.org/pdf/1412.0035.pdf">Aravindh Mahendran, Andrea Vedaldi</a><br>#2: <a href="https://arxiv.org/pdf/1704.05796.pdf">David Bau, Bolei Zhou, et al.</a><br>#3: <a href="https://arxiv.org/abs/1610.02391">Ramprasaath R. Selvaraju et al.</a><br>#4: <a href="https://distill.pub/2017/feature-visualization/">Olah et al. </a></td>
<td align="left">Jun-Yan</td>
<td></td>
</tr>
<tr>
<td colspan="6" class="schedule_week" align="center" height="28" valign="middle">Week 4</td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 5<br>Monday 09/14/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=14822577">Attention and Transformers I</a></td>
<td align="left">
<br>Readings:<br>#1: <a href="https://arxiv.org/abs/1706.03762">Ashish Vaswani et al. </a>
<br>#2: <a href="https://arxiv.org/pdf/1409.3215">Ilya Sutskever, Oriol Vinyals, Quoc V. Le </a>
<br>#3: <a href="https://arxiv.org/pdf/1409.0473"> Dzmitry Bahdanau, KyungHyun Cho, Yoshua Bengio </a>
<br>Optional Readings:<br>#4: <a href="https://arxiv.org/pdf/2104.09864">Jianlin Su et al. </a></td>
<td align="left">Jun-Yan</td>
<td></td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 6<br>Wednesday 09/16/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=14839082">Attention and Transformers II</a></td>
<td align="left">
<br>Readings:<br>#1: <a href="https://arxiv.org/abs/2010.11929">Alexey Dosovitskiy et al.</a>
<br>#2: <a href="https://arxiv.org/abs/2103.14030">Ze Liu et al.</a>
<br>Optional Readings:<br>#3: <a href="https://arxiv.org/abs/2309.16588">Timothee Darcet et al. </a>
<br>#4: <a href="https://arxiv.org/abs/2105.01601">Ilya Tolstikhin et al. </a>
<br>#5: <a href="https://arxiv.org/abs/2107.14795">Andrew Jaegle et al. </a></td>
<td align="left">Jun-Yan</td>
<td>HW1 Out (Classification + Detection)</td>
</tr>
<tr>
<td colspan="6" class="schedule_week" align="center" height="28" valign="middle">Week 5</td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 7<br>Monday 09/21/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=14872363">Segmentation and Detection I</a></td>
<td align="left">
<br>Readings:<br>#1: <a href="https://arxiv.org/abs/1411.4038">Jonathan Long, Evan Shelhamer, Trevor Darrell (FCN)</a>
<br>#2: <a href="https://link.springer.com/content/pdf/10.1007/978-3-319-24574-4_28.pdf">Olaf Ronneberger et al. (U-Net)</a>
<br>#3: <a href="https://arxiv.org/abs/2112.01527">Bowen Cheng et al. (Mask2Former)</a>
<br>Optional Readings:<br>#4: <a href="https://openaccess.thecvf.com/content/CVPR2021/papers/Zheng_Rethinking_Semantic_Segmentation_From_a_Sequence-to-Sequence_Perspective_With_Transformers_CVPR_2021_paper.pdf">Sixiao Zheng et al. (SETR)</a>
<br>#5: <a href="https://proceedings.neurips.cc/paper_files/paper/2021/file/64f1f27bf1b4ec22924fd0acb550c235-Paper.pdf">Enze Xie et al. (SegFormer)</a></td>
<td align="left">Jun-Yan</td>
<td></td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 8<br>Wednesday 09/23/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=14883109">Segmentation and Detection II</a></td>
<td align="left">
<br>Readings:<br>#1: <a href="https://vision.ics.uci.edu/papers/FelzenszwalbGMR_PAMI_2009">Pedro F Felzenszwalb et al. (DPM)</a>
<br>#2: <a href="https://arxiv.org/abs/1311.2524">Ross Girshick et al. (R-CNN)</a>
<br>#3: <a href="https://arxiv.org/abs/1506.02640">Joseph Redmon et al. (YOLO)</a>
<br>#4: <a href="https://arxiv.org/abs/2005.12872">Nicolas Carion et al. (DETR)</a>
<br>Optional Readings:<br>#5: <a href="https://arxiv.org/abs/1506.01497">Shaoqing Ren et al. (Faster R-CNN)</a>
<br>#6: <a href="https://arxiv.org/abs/1904.07850">Xingyi Zhou, et al. (CenterNet)</a></td>
<td align="left">Jun-Yan</td>
<td></td>
</tr>
<tr>
<td colspan="6" class="schedule_week" align="center" height="28" valign="middle">Week 6</td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 9<br>Monday 09/28/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=14926264">Segmentation and Detection III</a></td>
<td align="left">
<br>Readings:<br>#1: <a href="https://arxiv.org/abs/1703.06870">Kaiming He et al. (Mask R-CNN)</a>
<br>#2: <a href="https://arxiv.org/abs/2304.02643">Alexander Kirillov et al. (SAM)</a>
<br>Optional Readings:<br>#3: <a href="https://arxiv.org/abs/1801.00868">Alexander Kirillov et al. (Panoptic Segmentation)</a>
<br>#4: <a href="https://arxiv.org/abs/2408.00714">Nikhila Ravi et al. (SAM 2)</a></td>
<td align="left">Jun-Yan</td>
<td></td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 10<br>Wednesday 09/30/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=14928594">Generative Models I</a></td>
<td align="left">
<br>Readings:<br>#1: <a href="https://arxiv.org/abs/1406.2661">Ian J. Goodfellow et al.</a>
<br>#2: <a href="https://arxiv.org/abs/1812.04948">Tero Karras, et al. (StyleGAN1)</a>
<br>#3: <a href="https://arxiv.org/abs/1611.07004">Phillip Isola et al.</a>
<br>Optional Readings:<br>#4: <a href="https://arxiv.org/abs/1912.04958">Tero Karras, et al. (StyleGAN2)</a>
<br>#5: <a href="https://arxiv.org/abs/2106.12423">Tero Karras, et al. (StyleGAN3)</a>
<br>#6: <a href="https://arxiv.org/abs/1703.10593">Jun-Yan Zhu*, Taesung Park* et al.</a></td>
<td align="left">Jun-Yan</td>
<td></td>
</tr>
<tr>
<td colspan="6" class="schedule_week" align="center" height="28" valign="middle">Week 7</td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 11<br>Monday 10/05/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=14955222">Generative Models II</a></td>
<td align="left">
<br>Readings:<br>#1: <a href="https://arxiv.org/abs/1312.6114">Diederik P Kingma, Max Welling</a>
<br>#2: <a href="https://arxiv.org/abs/1606.05328">Aaron van den Oord et al.</a>
<br>#3: <a href="https://compvis.github.io/taming-transformers/">Patrick Esser et al.</a>
<br>Optional Readings:<br>#4: <a href="https://arxiv.org/abs/1906.02691">Diederik P. Kingma, Max Welling</a>
<br>#5: <a href="https://arxiv.org/abs/1711.00937">Aaron van den Oord et al.</a></td>
<td align="left">Jun-Yan</td>
<td></td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 12<br>Wednesday 10/07/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=14969368">Generative Models III</a></td>
<td align="left">
<br>Readings:<br>#1: <a href="https://arxiv.org/abs/2006.11239">Jonathan Ho, Ajay Jain, Pieter Abbeel</a>
<br>#2: <a href="https://arxiv.org/abs/2212.09748">William Peebles, Saining Xie</a>
<br>Optional Readings:<br>#3: <a href="https://arxiv.org/abs/2011.13456">Yang Song et al.</a>
<br>#4: <a href="https://proceedings.mlr.press/v37/sohl-dickstein15.pdf">Jascha Sohl-Dickstein et al.</a>
<br>#5: <a href="https://arxiv.org/abs/2209.03003">Xingchao Liu et al.</a></td>
<td align="left">Jun-Yan</td>
<td>HW2 Out</td>
</tr>
<tr>
<td colspan="6" class="schedule_week" align="center" height="28" valign="middle">Week 8</td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left"><br>Monday 10/12/26</td>
<td align="left">Fall Break. No class.</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left"><br>Wednesday 10/14/26</td>
<td align="left">Fall Break. No class.</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td colspan="6" class="schedule_week" align="center" height="28" valign="middle">Week 9</td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 13<br>Monday 10/19/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=15021526">Self-Supervised Learning I</a></td>
<td align="left">
<br>Readings:<br>#1: <a href="https://openaccess.thecvf.com/content_cvpr_2016/papers/Pathak_Context_Encoders_Feature_CVPR_2016_paper.pdf">Deepak Pathak et al.</a>
<br>#2: <a href="https://arxiv.org/abs/1603.08511">Richard Zhang et al.</a>
<br>#3: <a href="https://arxiv.org/abs/2111.06377">Kaiming He et al.</a>
<br>Optional Readings:<br>#4: <a href="https://arxiv.org/abs/1907.02544">Jeff Donahue, Karen Simonyan</a>
<br>#5: <a href="https://cdn.openai.com/papers/Generative_Pretraining_from_Pixels_V1_ICML.pdf">Mark Chen et al.</a></td>
<td align="left">Jun-Yan</td>
<td></td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 14<br>Wednesday 10/21/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=15034320">Self-Supervised Learning II</a></td>
<td align="left">
<br>Readings:<br>#1: <a href="https://arxiv.org/abs/2002.05709">Ting Chen et al.</a>
<br>#2: <a href="https://arxiv.org/abs/1911.05722">Kaiming He et al.</a>
<br>#3: <a href="https://arxiv.org/abs/1807.03748">Aaron van den Oord, Yazhe Li, Oriol Vinyals</a>
<br>Optional Readings:<br>#4: <a href="https://arxiv.org/abs/2104.14294">Mathilde Caron et al.</a>
<br>#5: <a href="https://arxiv.org/abs/2011.10566">Xinlei Chen and Kaiming He</a>
<br>#6: <a href="https://arxiv.org/abs/2304.07193">Maxime Oquab et al.</a></td>
<td align="left">Jun-Yan</td>
<td>HW1 Due</td>
</tr>
<tr>
<td colspan="6" class="schedule_week" align="center" height="28" valign="middle">Week 10</td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 15<br>Monday 10/26/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=15063455">Vision-Language Model I</a></td>
<td align="left">
<br>Readings:<br>#1: <a href="https://openaccess.thecvf.com/content_iccv_2015/papers/Antol_VQA_Visual_Question_ICCV_2015_paper.pdf">Stanislaw Antol*, Aishwarya Agrawal*, et al.</a>
<br>#2: <a href="https://arxiv.org/abs/2103.00020">Alec Radford et al.</a>
<br>#3: <a href="https://arxiv.org/abs/2304.08485">Haotian Liu et al.</a>
<br>Optional Readings:<br>#4: <a href="https://arxiv.org/abs/2201.12086">Junnan Li et al.</a></td>
<td align="left">Jun-Yan</td>
<td></td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left"><br>Wednesday 10/28/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=15144096">Guest Lecture I</a></td>
<td></td>
<td align="left">Eliahu Horwitz</td>
<td></td>
</tr>
<tr>
<td colspan="6" class="schedule_week" align="center" height="28" valign="middle">Week 11</td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 16<br>Monday 11/02/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=15134956">Vision-Language Model II</a></td>
<td align="left">
<br>Readings:<br>#1: <a href="https://arxiv.org/abs/1511.02793">Elman Mansimov et al.</a>
<br>#2: <a href="https://arxiv.org/abs/2112.10752">Robin Rombach et al.</a>
<br>#3: <a href="https://arxiv.org/abs/2204.06125">Aditya Ramesh et al.</a>
<br>Optional Readings:<br>#4: <a href="https://arxiv.org/abs/2205.11487">Chitwan Saharia et al.</a>
<br>#5: <a href="https://arxiv.org/abs/2303.05511">Kang et al.</a></td>
<td align="left">Jun-Yan</td>
<td>HW3 Out</td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 17<br>Wednesday 11/04/26</td>
<td align="left"><a href="https://canvas.cmu.edu/courses/56091/files/folder/Lectures?preview=15138282">Transfer Learning, Visual Prompting I</a></td>
<td align="left">
<br>Readings:<br>#1: <a href="https://arxiv.org/abs/1703.05175">Jake Snell, Kevin Swersky, Richard S. Zemel</a>
<br>#2: <a href="https://openaccess.thecvf.com/content_cvpr_2017/papers/Tzeng_Adversarial_Discriminative_Domain_CVPR_2017_paper.pdf">Eric Tzeng et al.</a>
<br>#3: <a href="http://proceedings.mlr.press/v70/finn17a/finn17a.pdf">Chelsea Finn et al.</a></td>
<td></td>
<td>HW2 Due</td>
</tr>
<tr>
<td colspan="6" class="schedule_week" align="center" height="28" valign="middle">Week 12</td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left"><br>Monday 11/09/26</td>
<td align="left">Guest Lecture II</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 18<br>Wednesday 11/11/26</td>
<td align="left">Transfer Learning, Visual Prompting II</td>
<td></td>
<td align="left">Jun-Yan</td>
<td></td>
</tr>
<tr>
<td colspan="6" class="schedule_week" align="center" height="28" valign="middle">Week 13</td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 19<br>Monday 11/16/26</td>
<td align="left">Action Recognition and Videos I</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 20<br>Wednesday 11/18/26</td>
<td align="left">Action Recognition and Videos II</td>
<td></td>
<td></td>
<td>HW3 Due</td>
</tr>
<tr>
<td colspan="6" class="schedule_week" align="center" height="28" valign="middle">Week 14</td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 21<br>Monday 11/23/26</td>
<td align="left">Efficient Deep Learning</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left"><br>Wednesday 11/25/26</td>
<td align="left">Thanksgiving holiday. No Class.</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td colspan="6" class="schedule_week" align="center" height="28" valign="middle">Week 15</td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 22<br>Monday 11/30/26</td>
<td align="left">Course Project Presentation I</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td sdnum="1033;0;@" align="left">Lecture 23<br>Wednesday 12/02/26</td>
<td align="left">Course Project Presentation II</td>
<td></td>
<td></td>
<td>Final Proj Due (12/9)</td>
</tr>
</tbody>
</table>
<p> </p>
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