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   Special Topics in Computer Vision –
   EECS 598 - Winter  2013           
 
  Instructor: Silvio Savarese
  Webpage: http://www.eecs.umich.edu/~silvio/
  Classroom:EECS 1005
  Time: Tu Th 1:30pm-3:00pm
  Office hours: Tu 3:00-4:00pm
  Grader: Sarvesh Kirthivasan (ksarvesh@umich.edu)















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EECS 598- Schedule (This syllabus is temporary and subject to change)
 
Lect.DateTopicsPresenterPapers/slides
     
1Thur
1.10		IntroductionPDF
2Tues
1.15		Image matching and Structure from MotionJ.Lie and Nick.Clayton
  1. M. Brown and D. G. Lowe. "Recognizing Panaromas", ICCV2003. [PDF PPT]
  2. M. Brown and D. G. Lowe. "Unsupervised 3D Object Recognition and Reconstruction in Unordered Datasets". PDF
3Thur
1.17		No class
4Tues
1.22		Large scale SFMWan Huang and Yixuan Chen
  1. Agarwal, Snavelym Simon, Seitz, Szeliski. "Builfing Rome in a Day" ICCV2009. PDF
  2. Frahm, Georgel, Gallup, Johnson, Raguram, Wu, Jen, Dunn, Clipp, Lazebnik, Pollefeys."Building Rome on a Cloudless Day".   [PDF, code]
  3. D. Crandall, A. Owens, N. Snavely, D. Huttenlocher   "Discrete-Continuous Structure from Motion" CVPR 2011, Best paper runner-up. [PDF]
5Thur
1.24		Indoor scene reconstructionCharlie Yan and Junxing Zheng
  1.  Yasutaka Furukawa, Brian Curless, Steven M. Seitz, Richard Szeliski
    "Reconstructing Building Interiors from Images". ICCV 2009 (oral). PDF 
  2. Jianxiong Xiao and Yasutaka Furukawa. "Reconstructing the World's Museums" - supplementary document. Best Student Paper Award. ECCV 2012 (oral). [PDF supplementary document]
6Tues
1.29		Layout estimation from a single image Philipp Cannons and Yu-Wei Chao         1. D. Hoiem, A.A. Efros, and M. Hebert. "Recovering Surface Layout from an Image".
            IJCV2007. PDF

        2.  V.Hedau, D.Hoiem, and D.A.Forsyth. "Recoveting the Spatial Layout of Cluttered Rooms"                     ICCV2009. [PDF Project]

        3.  David Lee, Takeo Kanadem Matrial Hebert. "3D Scene Analysis". CVPR2009 PDF
7Thur
1.31		Layout estimation from multiple imagesZhen Zeng and Changkyu Song
       
       1.   Sinha, Steedly, Szelikski, Agarwala, Pollefeys, "Interactive 3D Architectural  Modeling
            from Unordered Photo collections". SIGGRAPH ASIA 2008. PDF

        2.  Kowdle, Chang, Gallagher, Chen. "Active learning for piecewise plannar 3D
           Reconstruction". CVPR2011 PDF

        3. Tsai/Kupiers, "Real time indoor scene understanding using Bayesian filtering with                               motion cues". ICCV2011 PDF
8Tues
2.5		Object DetectionRyan and Yu Xian
  1. Latent and Structural SVM review [PPT]
  2. Dalal and Triggs "Histogram of gradients for Human Detection, CVPR2005 PDF
  3.  P.Felzenswalb, D.McAllester, D.Ramanan "A discriminatively trained multiscale deformable part model". CVPR2008. [PDF Code]
9Thur 2.7Object Detection Shen Wang and Kristjan Greenwald         1. Review of Branch and Bound (HTML)

        2. C.Lampert, M.Blaschko, ans T.Hofmann "Beyond Sliding Windows: Object Localization by                       efficient subwindow search".CVPR2008 [PDF]
10Tues
2.12		Object detection and pose estimationYu Xiang        1. B.Pepik, M.Stark, P.Gehler and B.Schiele, "Teaching 3D geometry to deformable part                            models". CVPR2012 PDF

        2. Y.Xiang, S.Savarese. "Estimating the aspect layout of object categories".  CVPR2012
           [PDF    Project]  

11		Thur
2.14		Object recognition from 3D-Kinect data


Taewon Kim and Yawei Wang
        1. Liefeng Bo, Kevin Lai, Xiaofeng Ren, and Dieter Fox "Object Recognition with                                          Hierarchical Kernel Descriptors" PDF

        2. Scott Helmer and David Lowe "Using Stereo for Object Recognition",ICRA2010 PDF
Thur
2.14		PROJECT PROPOSAL due by midnight
12Tues
2.19		Joint object dectection and scene layout understanding from a single image (I)J.lie and Nick Clayton
  1. D.Hoiem A.Efros M.Hebert, "Putting objects in perspective", CVPR2006 PDF

  2. David C. Lee, Abhinav Gupta, Martial Hebert, and Takeo Kanade."Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces." Advances in Neural Information Processing Systems 24 (NIPS) 2010. PDF
  3. V.Hedau, D.Hoeim, D.A.Forsyth, "Thinking inside the BOX:USing appearance models and context based on room geometry" ECCV2010 PDF
13Thur
2.21		Joint object dectection and scene layout understanding from a single image (II)Byung Soo Kim         1. B.Kim,M.Sun,P.Kohli,S.Savarese, "Relating things and stuff by High-Order Poterntial                              modeling" ECCV2012 pdf, bibtex, project
         2. Lecture Slides [PPT]
14Tues
2.26		Scene understanding from 3D-Kinect dataWan Huang and Yixuan Chen 
         1. Hema Koppula, Abhishek Anand, Thorsten Joachims, Ashutosh Saxena"Semantic                                 Labeling of 3D Point Clouds for Indoor Scenes", , NIPS, 2011,  PDF

         2 . Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus "Indoor Segmentation and                    Support Inference from RGBD Images",ECCV, 2012, PDF 

         3.Xiaofeng Ren, Liefeng Bo, and Dieter Fox  "RGB-(D) Scene Labeling: Features and                                 Algorithms", CVPR, 2012  PDF
15Thur
2.28		Joint object dectection and scene layout understanding from multiple image (I)S.Yingze Bao          1.Tutorial on MCMC

         2.  S. Bao and S. Savarese, "Semantic Structure from Motion". Proceedings of the IEEE                                International Conference on Computer Vision and Pattern Recognition, 2011 [PDF Project]
Tues
3.5		Spring Break
Thur
3.7		Spring Break
16Tues
3.12		Human detection and pose estimation(I)Philipp Cannons and Yu-Wei Chao         1. D. Ramanan. "Part-based Models for Finding People and Estimating Their Pose". In T.                         Moeslund, A. Hilton, and L. Sigal (Eds.), Visual Analysis of Humans. Springer, Oct 2011.PDF

         2. Y. Yang, D. Ramanan. "Articulated Human Detection with Flexible Mixtures of Parts" IEEE                     Pattern Analysis and Machine Intelligence (PAMI). To appear. PDF
17Thur
3.14		Human detection and pose estimation(II)


Charlie Yan and Junxing Zheng         1. Lubomir Bourdev, Jitendra Malik,"Poselets: Body Part Detectors Trained Using 3D                                 Human Pose Annotations", ICCV 2009 [PDF   BibTeX]

         2. Lubomir Bourdev, Subhransu Maji, Thomas Brox, Jitendra Malik,"Detecting People Using                     Mutually Consistent Poselet Activations", ECCV 2010 [PDF  BibTeX]
18Tues
3.19		Human pose estimationRyan Tokola
  1. Benjamin Sapp, Alexander Toshey, Ben Taskar."Cascade models for Articulated Pose Estimation" ECCV2010. PDF
  2. Benjamin Sapp, David Weiss, Ben Taskar. "Parsing Human motions with strechable Models". PDF
19Thur
3.21		Human pose estimation from 3D-Kinect dataYawei Wang and Taewon Kim         1. 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 PDF
Thur
3.21		PROJECT MIDTERM REPORT due by midnight
20Tues
3.26		Tracking objects/humans
Shen Wang and Kristjan Greenwald
  1. Review of boosting, online-boosting, multi instance learning
  2. Boris.Babenko, Ming-Hsuan Yang, Serge Belongie, "Robust Object Tracking with online multiple learning". IEEE TPAMI,2011. PDF
21Thur
3.28		Multi target trackingChankyu Song and Taewon Kim
  1. Zia Khan, Tucker Balch, and Frank Dellaert. "MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005 PDF
  2. Review of Sampling and MCMC methods
22Tues
4.2		Joint multi-target tracking and activity estimationWongun Choi
  1. 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
  2. W. Choi and S. Savarese "A Unified Framework for Multi-Target Tracking and Collective Activity Recognition" ECCV 2012 PDF
23Thur
4.4		Human-scene interactionZhen Zeng and Changkyu Song
  1. David Fouhey, V.Delaitre, A.Gupta, A.A.Efros, I.Laptecv, J.Sivic "People Watching:Human Actions as a Cue for Single View Geometry".ECCV2012 PDF
  2. V.Delatitre, D.Fouhey, I.Laptec, Sivic, A.Gupta, A.A.Efros "Scene semantics from long term observation of people" ECCV2012 PDF
  3. A.Gupta, S.Satkin, A.A.Efros, M.Hebert "From 3D scene geometry to Human workspace" CVPR2011 PDF
Tues
4.9		No Class
24Thur
4.11		Human-object interactions from imagesDaniel DeTone         1. A.Gupta, A.Kembhavi, L.S.David "Observing Human-Object interactions using spatial                            and functional compatibility for recognition" PAMI PDF

         2. B.Yao, L.Fei-Fei, "Modeling mutual context of object and human pose in human object                        interaction activities" CVPR 2010 PDF
26Tues
4.16		 Final Project Presentations 
27Thur
4.18		 Final Project Presentations 
 Monday 5.1 Final Preoject report 
 due by midnight