Lecture Schedule

From cs331b Special Topics in 3dRR

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| Indoor scene layout reconstruction:  
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*David Lee, Takeo Kanadem Matrial Hebert. "3D Scene Analysis". CVPR2009 PDF
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*David Lee, Takeo Kanadem Matrial Hebert. "3D Scene Analysis". CVPR2009
*A. Schwing and R. Urtasun, Efficient Exact Inference for 3D Indoor Scene Understanding In European Conference on Computer Vision (ECCV), Florence, Italy, October 2012
*A. Schwing and R. Urtasun, Efficient Exact Inference for 3D Indoor Scene Understanding In European Conference on Computer Vision (ECCV), Florence, Italy, October 2012
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| <span style="color: rgb(255, 0, 0);">'''10/17'''
| <span style="color: rgb(255, 0, 0);">'''10/17'''
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| 11/4  
| 11/4  
| Understanding Human Pose  
| Understanding Human Pose  
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| Guest lecturer: Dr. Roland Angst
| Joint segmentation and reconstruction from D-RGB data (III):  
| Joint segmentation and reconstruction from D-RGB data (III):  
*Christian Häne, Christopher Zach, Andrea Cohen, Roland&nbsp;Angst, Marc Pollefeys, Joint 3D scene reconstruction and&nbsp;class segmentation
*Christian Häne, Christopher Zach, Andrea Cohen, Roland&nbsp;Angst, Marc Pollefeys, Joint 3D scene reconstruction and&nbsp;class segmentation
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| Understanding Human Pose  
| Understanding Human Pose  
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| Human pose estimation and activity recognition from 2D
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| Human pose estimation and activity recognition from 2D  
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images:
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images:  
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*Lubomir Bourdev, Jitendra Malik,"Poselets: Body Part&nbsp;Detectors Trained Using 3D Human Pose Annotations", ICCV&nbsp;2009&nbsp;
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*Lubomir Bourdev, Jitendra Malik,"Poselets: Body Part&nbsp;Detectors Trained Using 3D Human Pose Annotations", ICCV&nbsp;2009&nbsp;  
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*Lubomir Bourdev, Subhransu Maji, Thomas Brox, Jitendra&nbsp;Malik,"Detecting People Using Mutually Consistent Poselet&nbsp;Activations", ECCV 2010&nbsp;
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*Lubomir Bourdev, Subhransu Maji, Thomas Brox, Jitendra&nbsp;Malik,"Detecting People Using Mutually Consistent Poselet&nbsp;Activations", ECCV 2010&nbsp;  
*Action Recognition with Exemplar Based 2.5D Graph&nbsp;Matching Bangpeng Yao and Li Fei-Fei, European Conference&nbsp;on Computer Vision (ECCV). Firenze, Italy. October 7-13,&nbsp;2012.
*Action Recognition with Exemplar Based 2.5D Graph&nbsp;Matching Bangpeng Yao and Li Fei-Fei, European Conference&nbsp;on Computer Vision (ECCV). Firenze, Italy. October 7-13,&nbsp;2012.
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| Understanding Human Activities  
| Understanding Human Activities  
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| Human pose estimation and activity recognition from D-RGB
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data:
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*Tutorial on Randomized decision trees and forests
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*Jamie Shotton , Andrew Fitzgibbon , Mat Cook , Toby Sharp ,&nbsp;Mark Finocchio , Richard Moore , Alex Kipman , Andrew&nbsp;Blake, "Real Time human pose recognition in parts from single&nbsp;depth image". CVPR, 2011
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*Mining Actionlet Ensemble for Action Recognition with&nbsp;Depth Cameras , Jiang Wang, Zicheng Liu, Ying Wu,&nbsp;Junsong Yuan
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| 11/11  
| 11/11  
| Understanding Human Activities  
| Understanding Human Activities  
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| Guest lecturer: Dr. W. Choi&nbsp;
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| Recognizing collective activities:
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*W. Choi, K. Shahid, S. Savarese "What are they doing?: Collective Activity Classification Using Spatio-Temporal&nbsp;Relationship Among People", 9th International Workshop on&nbsp;Visual Surveillance (VSWS09) in conjuction with ICCV 09 PDF
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*W. Choi and S. Savarese "A Unified Framework for MultiTarget Tracking and Collective Activity Recognition" ECCV&nbsp;2012
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| '''<span style="color: rgb(255, 0, 0);"> Final Project Presentations</span>'''  
| '''<span style="color: rgb(255, 0, 0);"> Final Project Presentations</span>'''  
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| '''<span style="color: rgb(255, 0, 0);"> Final Project Presentation</span><span style="color: rgb(255, 0, 0);">s</span>'''  
| '''<span style="color: rgb(255, 0, 0);"> Final Project Presentation</span><span style="color: rgb(255, 0, 0);">s</span>'''  

Revision as of 00:12, 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:

  • Y.Xiang, S.Savarese. "Estimating the aspect layout of object categories". CVPR2012 link
3 9 /30 Representing and Recognizing Objects 3D detection from D-RGB data:
  • Liefeng Bo, Kevin Lai, Xiaofeng Ren, and Dieter Fox "Object Recognition with Hierarchical Kernel Descriptors"
  • L. Bo, X. Ren, and D. Fox. Kernel Descriptors for Visual Recognition. In NIPS, December 2010
  • K. Lai, L. Bo, X. Ren, and D. Fox. A Large-Scale Hierarchical Multi-View RGB-D Object Dataset. In IEEE International Conference on on Robotics and Automation, 2011
4 10/2 Representing and Recognizing Objects Guest lecturer: Dr. M. Stark 3D object recognition by deformable part models:
  • B.Pepik, M.Stark, P.Gehler and B.Schiele, "Teaching 3D geometry to deformable part models". CVPR2012
5 10/7 Representing the 3D Space Large scale 3D reconstruction by structure from motion :
  • Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Ian Simon, Brian Curless, Steven M. Seitz and Richard Szeliski Communications of the ACM, Vol. 54, No. 10, Pages 105-112, October 2011
  • Jan-Michael Frahm, Pierre Georgel, David Gallup, Tim Johnson, Rahul Raguram, Changchang Wu, Yi-Hung Jen, Enrique Dunn, Brian Clipp, Svetlana Lazebnik, Marc Pollefeys, ECCV 2010
6 10/9 Representing the 3D Space Indoor scene layout reconstruction:
  • David Lee, Takeo Kanadem Matrial Hebert. "3D Scene Analysis". CVPR2009
  • A. Schwing and R. Urtasun, Efficient Exact Inference for 3D Indoor Scene Understanding In European Conference on Computer Vision (ECCV), Florence, Italy, October 2012
7 10/14 Understanding Complex Scenes Joint 3D reconstruction and object detection:
  • D. Hoiem, A.A. Efros, and M. Hebert, "Putting Objects in Perspective", to appear in CVPR 2006.
  • Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry; V. Hedau, D. Hoiem, and D.A. Forsyth ECCV 2010
8 10/16 Understanding Complex Scenes Guest lecturer: B. Kim 2D/3D CRF models fo understanding:
  • B.Kim, M.Sun ,P.Kohli, S.Savarese, "Relating things and stuff by High-Order Poterntial modeling" ECCV2012
10/17





Project Proposal due
9 10/21 Understanding Complex Scenes Guest lecturer: Y. Bao Semantic structure from motion:
  • S. Bao and S. Savarese, "Semantic Structure from Motion". Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, 2011
10 10/23 Understanding Complex Scenes Tutorial on MCMC:
  • Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes, Christian Wojek, Stefan Roth, Konrad Schindler, Bernt Schiele
11 10/28 Understanding Complex Scenes Joint segmentation and reconstruction from D-RGB data (I):
  • Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus "Indoor Segmentation and Support Inference from RGBD Images" ECCV, 2012
  • S. Gupta, P. Arbelaez and J. Malik. Perceptual Organization and Recognition of Indoor Scenes from RGBD Images. In CVPR 2013 (oral).
12 10/30 Understanding Complex Scenes Joint segmentation and reconstruction from D-RGB data (II):
  • Munoz, D., Bagnell, J.A., Hebert, M.: Stacked hierarchical labeling. In: ECCV. (2010)
  • Co-inference for Multi-modal Scene Analysis Daniel Munoz, J. Andrew (Drew) Bagnell, and Martial Hebert European Conference on Computer Vision (ECCV), October, 2012.
13 11/4 Understanding Human Pose Guest lecturer: Dr. Roland Angst Joint segmentation and reconstruction from D-RGB data (III):
  • Christian Häne, Christopher Zach, Andrea Cohen, Roland Angst, Marc Pollefeys, Joint 3D scene reconstruction and class segmentation
11/5





Project Mid-term Report due
14 11/6 Understanding Human Pose Human pose estimation and activity recognition from 2D

images:

  • Lubomir Bourdev, Jitendra Malik,"Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations", ICCV 2009 
  • Lubomir Bourdev, Subhransu Maji, Thomas Brox, Jitendra Malik,"Detecting People Using Mutually Consistent Poselet Activations", ECCV 2010 
  • Action Recognition with Exemplar Based 2.5D Graph Matching Bangpeng Yao and Li Fei-Fei, European Conference on Computer Vision (ECCV). Firenze, Italy. October 7-13, 2012.
15 tba Understanding Human Activities Human pose estimation and activity recognition from D-RGB

data:

  • Tutorial on Randomized decision trees and forests
  • Jamie Shotton , Andrew Fitzgibbon , Mat Cook , Toby Sharp , Mark Finocchio , Richard Moore , Alex Kipman , Andrew Blake, "Real Time human pose recognition in parts from single depth image". CVPR, 2011
  • Mining Actionlet Ensemble for Action Recognition with Depth Cameras , Jiang Wang, Zicheng Liu, Ying Wu, Junsong Yuan
16 11/11 Understanding Human Activities Guest lecturer: Dr. W. Choi  Recognizing collective activities:
  • W. Choi, K. Shahid, S. Savarese "What are they doing?: Collective Activity Classification Using Spatio-Temporal Relationship Among People", 9th International Workshop on Visual Surveillance (VSWS09) in conjuction with ICCV 09 PDF
  • W. Choi and S. Savarese "A Unified Framework for MultiTarget Tracking and Collective Activity Recognition" ECCV 2012
17 11/13 Understanding Human Activities
18 tba Understanding Human Activities
19

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11/18

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11/20

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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







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