Lecture Schedule
From cs331b Special Topics in 3dRR
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- | * | + | *J. Gall, A. Fossati, and L. van Gool. (2011). "Functional categorization of objects using real-time markerless motion capture". CVPR2011 |
- | *Learning Human Activities and Object Affordances from RGB-D Videos | + | *H. Koppula, R. Gupta, and A. Saxena. "Learning Human Activities and Object Affordances from RGB-D Videos". IJRR2013<br> |
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pose: | pose: | ||
- | *V.Delatitre, D.Fouhey, I.Laptec, Sivic, A.Gupta, | + | *V. Delatitre, D. Fouhey, I. Laptec, Sivic, A. Gupta, and A. A. Efros. "Scene semantics from long term observation of people". ECCV2012 [http://repository.cmu.edu/cgi/viewcontent.cgi?article=1775&context=robotics link] |
- | *A.Gupta, S.Satkin, A.A.Efros, M.Hebert "From 3D scene geometry to Human workspace" CVPR2011 [http://www.cs.cmu.edu/~abhinavg/papers/0586.pdf link] | + | *A. Gupta, S. Satkin, A. A. Efros, and M. Hebert. "From 3D scene geometry to Human workspace". CVPR2011 [http://www.cs.cmu.edu/~abhinavg/papers/0586.pdf link] |
*People Watching: Human Actions as a Cue for Single View Geometry, David Fouhey, Vincent Delaitre, Abhinav Gupta, Alexei A. Efros, Ivan Laptev, and Josef Sivic European Conference on Computer Vision (ECCV), October, 2012. | *People Watching: Human Actions as a Cue for Single View Geometry, David Fouhey, Vincent Delaitre, Abhinav Gupta, Alexei A. Efros, Ivan Laptev, and Josef Sivic European Conference on Computer Vision (ECCV), October, 2012. | ||
Revision as of 01:24, 26 September 2013
Lect. | Date | Topics | Presenter | Paper/Slides |
---|---|---|---|---|
1 | 9/23 | Introductions | slides | |
2 | 9/25 | Representing and Recognizing Objects | Guest lecturer: Y. Xiang |
3D object recognition by aspect graph-based models:
|
3 | 9 /30 | Representing and Recognizing Objects | 3D detection from D-RGB data:
| |
4 | 10/2 | Representing and Recognizing Objects | Guest lecturer: Dr. M. Stark | 3D object recognition by deformable part models:
|
5 | 10/7 | Representing the 3D Space | Large scale 3D reconstruction by structure from motion :
| |
6 | 10/9 | Representing the 3D Space | Indoor scene layout reconstruction:
| |
7 | 10/14 | Understanding Complex Scenes | Joint 3D reconstruction and object detection:
| |
8 | 10/16 | Understanding Complex Scenes | Guest lecturer: B. Kim | 2D/3D CRF models fo understanding:
|
10/17
| Project Proposal due | |||
9 | 10/21 | Understanding Complex Scenes | Guest lecturer: Y. Bao | Semantic structure from motion:
|
10 | 10/23 | Understanding Complex Scenes | Tutorial on MCMC:
| |
11 | 10/28 | Understanding Complex Scenes | Joint segmentation and reconstruction from D-RGB data (I): | |
12 | 10/30 | Understanding Complex Scenes | Joint segmentation and reconstruction from D-RGB data (II):
| |
13 | 11/4 | Understanding Human Pose | Guest lecturer: Dr. Roland Angst | Joint segmentation and reconstruction from D-RGB data (III):
|
11/5
| Project Mid-term Report due | |||
14 | 11/6 | Understanding Human Pose | Human pose estimation and activity recognition from 2D
images:
| |
15 | tba | Understanding Human Activities | Human pose estimation and activity recognition from D-RGB
data:
| |
16 | 11/11 | Understanding Human Activities | Guest lecturer: Dr. W. Choi | Recognizing collective activities:
|
17 | 11/13 | Understanding Human Activities |
| |
18 | tba | Understanding Human Activities | Joint estimation of object/scene affordances and human
pose:
| |
19 | 11/18 | Final Project Presentations | ||
20 | 11/20 | Final Project Presentations | ||
11/25 | no class - Thanksgiving Break | |||
11/27 | no class - Thanksgiving Break | |||
12/2 |
no class due to ICCV | |||
12/4 | no class due to ICCV | |||
12/13 | Final Project Report Due | |||