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tutorial 14 - update README
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README.md

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@@ -52,6 +52,7 @@ Previous semesters: <a href="https://github.com/taldatech/ee046746-computer-visi
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|`ee046746_tut_11_stereo_imaging.ipynb\pdf`| Triangulation, Disparity Maps, Stereo Concept, Stereo Rectification, Stereo Matching, Depth Smoothing, Point Cloud Visualization |
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|`ee046746_tut_12_3d_deep_learning.ipynb\pdf`| Time-of-Flight Cameras, 3D Representations, Voxnet, Multi-view CNNs, Point Clouds, PointNet, PointNet++, 3D Generative Models |
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|`ee046746_tut_13_deep_object_tracking.ipynb\pdf`| Object Detection vs Object Tracking, Detection Failure Cases, Motion Model, Visual Appearance Model, Detection-Based Vs. Detection-Free, Offline Vs. Online Tracking, Generic Object Tracking Using Regression Networks (GOTURN), Multi-Domain Convolutional Neural Network Tracker (MDNet), Deep Simple Online and Realtime Tracking (Deep SORT) |
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|`ee046746_tut_14_deep_computational_imaging.ipynb\pdf`| Computational Imaging, Compressive Sensing, Depth Encoding PSFs, Computer Vision Pipelines, Differentiable Optics, Deep Optics, Extended Depth of Field, Monocular Depth Estimation, High Dynamic Range Imaging, Video Compressive Sensing |
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## Running The Notebooks
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You can view the tutorials online or download and run locally.

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