Lecture |
Date |
Topic |
Slides |
1 |
Sep 28 |
Introduction (J. Ponce, I. Laptev, J. Sivic) |
PPT1 PPT2 PDF1 PDF2 |
2 |
Oct 5 |
Instance-level recognition I. - Local invariant features (C. Schmid) Assignment 1 out. |
PPT1 PPT2 PDF1 PDF2 |
3 |
Oct 12 |
Instance-level recognition II. - Camera geometry (J. Ponce); Correspondence, efficient visual search (J. Sivic) Assignment 2 out. |
PPT1 PPT2 PPT3 PDF1 PDF2 PDF3 Matlab tutorial scripts |
4 |
Oct 19 |
Very large scale image indexing. Bag-of-feature models for category-level recognition (C. Schmid) Assignment 1 due. |
PPT1 PPT2 PDF1 PDF2 |
5 |
Oct 26 |
Sparse coding and dictionary learning for image analysis (J. Ponce) Efficient visual search - extensions and applications (J. Sivic) |
PPT1 PPT2 PDF1 PDF2 |
6 |
Nov 2 |
Category-level localization; Efficient fitting of pictorial structures using distance transform (J. Sivic) Assignment 2 due. Assignment 3 out. Final projects out. |
|
7 |
Nov 9 |
Motion and human actions I. (I. Laptev) |
|
8 |
Nov 16 |
Motion and human actions II. (I. Laptev) Assignment 3 due. Assignment 4 out. |
|
9 |
Nov 23 |
Neural networks; Optimization methods (N. Le Roux) |
|
10 |
Nov 30 |
Category-level localization; Face detection and recognition (C. Schmid) Assignment 4 due. |
PPT1 PPT2 PDF1 PDF2 |
11 |
Dec 7 |
Scenes and objects (I. Laptev, J. Sivic) |
PDF1 PDF2 |
12 | Dec 14 |
Final project presentations and evaluation (I. Laptev, J. Sivic) Project reports due date extended to January 5th 2011 |
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