Lecture Schedule

From cs331b Special Topics in 3dRR

(Difference between revisions)
Jump to: navigation, search
Line 20: Line 20:
3D object recognition by aspect graph-based models:  
3D object recognition by aspect graph-based models:  
-
*Y.Xiang, and S.Savarese. "Estimating the aspect layout of object categories". CVPR2012 [http://cvgl.stanford.edu/papers/xiang_cvpr12.pdf link]<br>
+
*Y.Xiang and S.Savarese. "Estimating the aspect layout of object categories". CVPR2012 [http://cvgl.stanford.edu/papers/xiang_cvpr12.pdf link]<br>
|-
|-
Line 47: Line 47:
| Large scale 3D reconstruction by structure from motion&nbsp;:  
| Large scale 3D reconstruction by structure from motion&nbsp;:  
*S. Agarwal, Y. Furukawa, N. Snavely, I. Simon, B. Curless, S. Seitz and R. Szeliski. Communications of the ACM, Vol. 54, No. 10, Pages 105-112,&nbsp;October 2011 [http://grail.cs.washington.edu/projects/rome/rome_paper.pdf link]  
*S. Agarwal, Y. Furukawa, N. Snavely, I. Simon, B. Curless, S. Seitz and R. Szeliski. Communications of the ACM, Vol. 54, No. 10, Pages 105-112,&nbsp;October 2011 [http://grail.cs.washington.edu/projects/rome/rome_paper.pdf link]  
-
*J. Frahm, P. Georgel, D. Gallup, T. Johnson, R. Raguram, C. Wu, Y. Jen,&nbsp;E. Dunn, B. Clipp, S. Lazebnik, and M. Pollefeys. ECCV 2010
+
*J. Frahm, P. Georgel, D. Gallup, T. Johnson, R. Raguram, C. Wu, Y. Jen,&nbsp;E. Dunn, B. Clipp, S. Lazebnik, and M. Pollefeys. ECCV2010
|-
|-
Line 55: Line 55:
| &nbsp;  
| &nbsp;  
| Indoor scene layout reconstruction:  
| Indoor scene layout reconstruction:  
-
*David Lee, Takeo Kanadem Matrial Hebert. "3D Scene&nbsp;Analysis". CVPR2009 [http://www.cs.cmu.edu/~dclee/pub/cvpr09lee.pdf link]  
+
*D. Lee, T. Kanadem, and M. Hebert. "3D Scene&nbsp;Analysis". CVPR2009 [http://www.cs.cmu.edu/~dclee/pub/cvpr09lee.pdf link]  
-
*A. Schwing and R. Urtasun, Efficient Exact Inference for 3D&nbsp;Indoor Scene Understanding In European Conference on&nbsp;Computer Vision (ECCV), Florence, Italy, October 2012
+
*A. Schwing and R. Urtasun. "Efficient Exact Inference for 3D&nbsp;Indoor Scene Understanding". ECCV2012
|-
|-
Line 64: Line 64:
| &nbsp;  
| &nbsp;  
| Joint 3D reconstruction and object detection:  
| Joint 3D reconstruction and object detection:  
-
*D. Hoiem, A.A. Efros, and M. Hebert, "Putting Objects in&nbsp;Perspective", to appear in CVPR 2006.
+
*D. Hoiem, A. Efros, and M. Hebert, "Putting Objects in&nbsp;Perspective". CVPR 2006
-
*Thinking Inside the Box: Using Appearance Models and&nbsp;Context Based on Room Geometry; V. Hedau, D. Hoiem, and&nbsp;D.A. Forsyth ECCV 2010
+
*V. Hedau, D. Hoiem, and D. Forsyth.&nbsp;"Thinking Inside the Box: Using Appearance Models and&nbsp;Context Based on Room Geometry". ECCV 2010
|-
|-
Line 78: Line 78:
| &nbsp;  
| &nbsp;  
| <span style="color: rgb(255, 0, 0);">'''10/17&nbsp;'''
| <span style="color: rgb(255, 0, 0);">'''10/17&nbsp;'''
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
Line 155: Line 185:
| &nbsp;  
| &nbsp;  
| <span style="color: rgb(255, 0, 0);">'''11/5'''&nbsp;
| <span style="color: rgb(255, 0, 0);">'''11/5'''&nbsp;
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +

Revision as of 23:50, 25 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 and S.Savarese. "Estimating the aspect layout of object categories". CVPR2012 link
3 9 /30 Representing and Recognizing Objects   3D detection from D-RGB data:
  • L. Bo, K. Lai, Xiaofeng Ren, and D. Fox "Object Recognition with Hierarchical Kernel Descriptors"
  • L. Bo, X. Ren, and D. Fox. "Kernel Descriptors for Visual Recognition". NIPS, December 2010
  • K. Lai, L. Bo, X. Ren, and D. Fox. "A Large-Scale Hierarchical Multi-View RGB-D Object Dataset". 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 link
5 10/7 Representing the 3D Space   Large scale 3D reconstruction by structure from motion :
  • S. Agarwal, Y. Furukawa, N. Snavely, I. Simon, B. Curless, S. Seitz and R. Szeliski. Communications of the ACM, Vol. 54, No. 10, Pages 105-112, October 2011 link
  • J. Frahm, P. Georgel, D. Gallup, T. Johnson, R. Raguram, C. Wu, Y. Jen, E. Dunn, B. Clipp, S. Lazebnik, and M. Pollefeys. ECCV2010
6 10/9 Representing the 3D Space   Indoor scene layout reconstruction:
  • D. Lee, T. Kanadem, and M. Hebert. "3D Scene Analysis". CVPR2009 link
  • A. Schwing and R. Urtasun. "Efficient Exact Inference for 3D Indoor Scene Understanding". ECCV2012
7 10/14 Understanding Complex Scenes   Joint 3D reconstruction and object detection:
  • D. Hoiem, A. Efros, and M. Hebert, "Putting Objects in Perspective". CVPR 2006
  • V. Hedau, D. Hoiem, and D. Forsyth. "Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry". 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 link
  • S. Gupta, P. Arbelaez and J. Malik. Perceptual Organization and Recognition of Indoor Scenes from RGBD Images. In CVPR 2013 (oral). link
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 link
  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 link
  • Lubomir Bourdev, Subhransu Maji, Thomas Brox, Jitendra Malik,"Detecting People Using Mutually Consistent Poselet Activations", ECCV 2010 link
  • 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 link
  • Mining Actionlet Ensemble for Action Recognition with Depth Cameras , Jiang Wang, Zicheng Liu, Ying Wu, Junsong Yuan link
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 link
  • W. Choi and S. Savarese "A Unified Framework for MultiTarget Tracking and Collective Activity Recognition" ECCV 2012
17 11/13 Understanding Human Activities  
  • Gall, J., Fossati, A., and van Gool, L. (2011). Functional categorization of objects using real-time markerless motion capture. In CVPR.
  • Learning Human Activities and Object Affordances from RGB-D Videos, Hema S Koppula, Rudhir Gupta, Ashutosh Saxena. International Journal of Robotics Research (IJRR), 32(8):951-970, July 2013.
18 tba Understanding Human Activities   Joint estimation of object/scene affordances and human

pose:

  • V.Delatitre, D.Fouhey, I.Laptec, Sivic, A.Gupta, A.A.Efros "Scene semantics from long term observation of people" ECCV2012 link
  • A.Gupta, S.Satkin, A.A.Efros, M.Hebert "From 3D scene geometry to Human workspace" CVPR2011 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.
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    
         
         
         
         



Personal tools