Date | Topic | Deliverables | Readings | Additional papers/reading |
8/29/19 | Introduction | |||
9/3/19 | Image formation - geometry [pptx|pdf] |
Szeliski 2.1 | ||
9/5/19 | Image formation - color [pptx | pdf] |
Szeliski 2.2 | ||
9/10/19 | Basic image processing [pptx | pdf] |
Szeliski 3.1-3.5, 4.2-4.3, SIRFS | ||
9/12/19 | Grouping [pptx | pdf] |
Normalized cuts Discussion questions | Random forest-based Neural network-based |
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9/17/19 | Reconstruction 1 [pptx | pdf] |
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9/19/19 | Reconstruction 2 [pptx | pdf] |
Project proposal due | A taxonomy and evaluation of dense two-frame stereo correspondence algorithms Discussion questions (Submit on CMS!) |
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9/24/19 | Reconstruction 3 [pptx | pdf] |
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9/26/19 | Correspondence [ pptx | pdf] |
SIFT Discussion questions (Submit on CMS) |
UCN WarpNet |
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10/1/19 | Optical Flow [pptx | pdf] |
High accuracy optical flow estimation based on a theory of warping | ||
10/3/19 | Intro to ML | Neural Networks 1[pptx | pdf] | LeCun '98 (Till Section IV)Discussion questions (Submit on CMS!) | ||
10/8/19 | Neural networks 2 | Transfer learning[pptx | pdf] | Do better imagenet models transfer better? Residual adapters |
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10/10/19 | Neural networks 3 | Learning under resource constraints [pptx | pdf] |
Residual networks Discussion questions (Submit on CMS!) |
MSDNets Mobile Net v2 |
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10/15/19 | No class - Fall break | |||
10/17/19 | Semantic segmentation [pptx | pdf] |
Project check-in (updated project proposal) | U-net Discussion questions (Submit on CMS!) |
Deeplab v3 |
10/22/19 | Structured prediction [pdf] | |||
10/24/19 | Graphical models for refinement [pptx | pdf] |
Autocontext Discussion questions (Submit on CMS!) |
Inference machines CRF as RNN |
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10/29/19 | Object detection [pptx | pdf] |
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10/31/19 | Instance segmentation [pptx | pdf] |
Mask R-CNN Discussion questions (Submit on CMS!) |
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11/5/19 | Pose estimation [ pptx | pdf] |
Convolutional Pose estimation, Associative embedding | ||
11/7/19 | Learning 3D [pptx | pdf] |
PTN Discussion questions (submit on CMS by Tuesday!) |
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11/12/19 | Sequences I: Videos [pptx | pdf |
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11/14/19 | Sequences II: Vision and language (same as above) | |||
11/19/19 | Embodied cognition - I [ pptx | pdf] |
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning Disccussion questions |
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11/21/19 | Learning with less supervision [pptx | pdf] |
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11/26/19 | Learning without supervision | Preliminary project report (Template, Submission instructions ) | ||
11/28/19 | No class - Thanksgiving | |||
12/3/19 | Bias and ethics | student presentations | Women also snowboard | |
12/5/19 | Student presentations / Q&A | |||
12/10/19 | student presentations / Q&A | reviews due | ||
12/19/19 | final report, assignment due |