| 2025-08-25 |
Introduction and course overview; Reconstruction, Recognition and Synthesis problems |
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| 2025-08-27 |
Reconstruction : Image Formation Geometry and Physics |
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Szeliski - Ch. 2, FoCV - Section II |
| 2025-09-03 |
Reconstruction : Classical 3D Reconstruction pipelines; Camera Calibration ; Triangulation |
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Szeliski - 11.1, 11.2, FoCV - Section XI, ch. 38-41 |
| 2025-09-08 |
Reconstruction : Epipolar Constraint ; Structure From Motion |
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Szeliski - 11.3 - 11.5, FoCV - Section XI, ch. 44 |
| 2025-09-10 |
Reconstruction : Estimating Correspondences ; RANSAC ; Colmap |
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Szeliski - 11.3 - 11.5, FoCV - Section XI, ch. 44 |
| 2025-09-15 |
Reconstruction : Learning correspondences ; Introducing DUST3R ; DUST3R variants |
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see linked papers from slides |
| 2025-09-17 |
Reconstruction : Introducing novel view synthesis ; Radiance ; Neural Radiance fields |
Hw 1 released |
FoCV - Section XI, ch. 45, see linked papers |
| 2025-09-22 |
Reconstruction : Gaussian Splats ; Other NeRF variants |
Project 1 released |
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| 2025-09-24 |
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| 2025-09-29 |
Recognition : Image classification ; Machine Learning ; Machine learning pipelines ; Neural Networks |
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Szeliski 5.1-5.3, FoCV - Section III |
| 2025-10-01 |
Recognition : Network architectures : Convolutional Networks ; Transformers |
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Szeliski 5.4 and 5.5, FoCV - Section VII |
| 2025-10-06 |
Recognition : The data problem : Transfer learning ; Prompt-tuning ; Semi-supervised learning ; Contrastive learning |
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FoCV - Section IX, 30 and Section X |
| 2025-10-08 |
Recognition : Object Detection : Problem Statement ; R-CNN ; YOLO |
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See linked papers |
| 2025-10-15 |
Recognition : Semantic Segmentation : Problem Statement ; Architectures and training pipelines ; Dense CRFs and Graph-based segmentation |
Homework 2 released |
See linked papers |
| 2025-10-20 |
Recognition : Structured Prediction ; Pose estimation |
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See linked papers |
| 2025-10-22 |
Recognition : Open-world recognition ; Vision-language models ; CLIP |
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FoCV - Section XIII, 51, see linked papers |
| 2025-10-27 |
Recognition : Captioning ; Dense Captioning ; Scene Graphs ; Question-answering |
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See linked papers |
| 2025-10-29 |
Recognition : Multimodal language models ; Capabilities and limitations ; Question-answering through program generation |
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See linked papers |
| 2025-11-03 |
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Project 2 released |
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| 2025-11-05 |
Synthesis : The generative modeling problem ; Technical Challenges |
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FoCV - Section IX, 31, see linked papers |
| 2025-11-10 |
Synthesis : Neural networks for generation ; GANs |
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FoCV - Section IX, see linked papers |
| 2025-11-12 |
Synthesis : VAEs |
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FoCV - Section IX, see linked papers |
| 2025-11-17 |
Synthesis : Diffusion Models |
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FoCV - Section IX, see linked papers |
| 2025-11-19 |
Synthesis : Conditional generation ; Emergent capabilities ; Novel view synthesis ; Combination with NeRFs |
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FoCV - Section IX, see linked papers |
| 2025-11-24 |
Videos : Optical flow ; Motion estimation ; Point tracking |
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Szeliski 9, FoCV - Section XII |
| 2025-12-01 |
Videos : Recognition architectures ; Recognition challenges |
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See linked papers |
| 2025-12-03 |
Embodied computer vision ; Computer vision with other sensors |
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See linked papers |
| 2025-12-08 |
Recognition with satellite imagery |
Take-home exam released |
See linked papers |