CS6644: Modeling the World - Paper Reading
Fall 2014
|
|
CS6644: Modeling the World - Paper ReadingFall 2014 |
|
Here's a list of good papers. Papers are loosely ordered from early/seminal to current/state-of-the-art within each category. You're expected to have some historical perspective on the development of research on the problem addressed by your paper, as well as an understanding of the current state of the art, including work that has been done since your paper's publication. While this is a pre-approved list, you may also suggest your own papers/topics and we'll work with you to find the most important/meaty papers in your area of interest.
| Image Formation / Radiometric Calibration |
|---|
| What is the Space of Camera Response Functions? M.D. Grossberg and S.K. Nayar. CVPR 2003. http://www1.cs.columbia.edu/CAVE/publications/pdfs/Grossberg_CVPR03.pdf |
| Probabilistic Color De-rendering Ying Xiong, Kate Saenko, Trevor Darrell, and Todd Zickler CVPR 2012 http://gvi.seas.harvard.edu/paper/pixels-physics-probabilistic-color-derendering |
| Stereo / RGB-D |
| Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe IJCV 2004 http://www.cs.ubc.ca/~lowe/keypoints/ |
| Fast Approximate Energy Minimization via Graph Cuts Yuri Boykov, Olga Veksler, and Ramin Zabih TPAMI 2001 http://www.cs.cornell.edu/~rdz/graphcuts.html |
| KinectFusion: Real-Time Dense Surface Mapping and Tracking Richard A. Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J. Davison, Pushmeet Kohli, Jamie Shotton, Steve Hodges, and Andrew Fitzgibbon ISMAR 2011 http://research.microsoft.com/en-us/projects/surfacerecon/ |
| Structure from Motion / Multiview Stereo |
| Modeling the World from Internet Photo Collections. Noah Snavely, Steven M. Seitz, and Richard Szeliski. IJCV 2008. http://phototour.cs.washington.edu/ModelingTheWorld_ijcv07.pdf |
| Accurate, Dense and Robust Multi-View Stereopsis Yasutaka Furukawa and Jean Ponce TPAMI 2010 http://www.cse.wustl.edu/~furukawa/papers/pami08a.pdf |
| Manhattan-world Stereo Yasutaka Furukawa, Brian Curless, Steven M. Seitz, and Richard Szeliski. CVPR 2009 http://grail.cs.washington.edu/projects/manhattan/ |
| Reconstructing Building Interiors from Images Yasutaka Furukawa, Brian Curless, Steven M. Seitz, Richard Szeliski. ICCV 2009 http://grail.cs.washington.edu/projects/interior/ |
| Helmholtz Stereopsis: Exploiting Reciprocity for Surface Reconstruction Todd Zickler, Peter N. Belhumeur, and David J. Kriegman ECCV 2002 http://www.cs.columbia.edu/~belhumeur/conference/HelmholtzStereopsis-eccv2002.pdf |
| Photometric Stereo |
| Heliometric Stereo: Shape from Sun Position. Austin Abrams, Christopher Hawley, and Robert Pless. ECCV 2012. http://research.engineering.wustl.edu/~abramsa/papers/eccv2012.pdf |
| Visibility Subspaces: Uncalibrated Photometric Stereo with Shadows. Kalyan Sunkavalli, Todd Zickler, and Hanspeter Pfister. ECCV 2010 http://www.eecs.harvard.edu/~kalyans/research/vissubspaces/VisibilitySubspaces_ECCV10.pdf |
| Materials and Lighting |
| Real-world Illumination and the Perception of Reflectance Properties Roland W. Fleming, Ron O. Dror, and Edward H. Adelson JOV 2003 http://persci.mit.edu/pub_pdfs/Fleming_JOV_2003.pdf |
| Ce Liu, Lavanya Sharan, Edward H. Adelson, and Ruth Rosenholtz Exploring Features in a Bayesian Framework for Material Recognition CVPR 2010 http://persci.mit.edu/pub_pdfs/maltRecogCVPR10.pdf |
| Ground-truth Dataset and Baseline Evaluations for Intrinsic Image Algorithms R. Grosse, M.K. Johnson, E.H. Adelson and W.T. Freeman ICCV 2009 http://www.mit.edu/~kimo/publications/intrinsic/ |
| Factored Time-Lapse Video Kalyan Sunkavalli, Wojciech Matusik, and Hanspeter Pfister TOG 2007 http://gfx.cs.princeton.edu/pubs/Sunkavalli_2007_FTV/ |
| Intrinsic Images in the Wild Sean Bell, Kavita Bala, and Noah Snavely SIGGRAPH 2014 http://opensurfaces.cs.cornell.edu/intrinsic/ |
| Shape, Illumination, and Reflectance from Shading Jonathan T. Barron and Jitendra Malik Tech Report 2013 (subsumes papers from CVPR11, CVPR12, ECCV12) http://www.cs.berkeley.edu/~barron/BarronMalikTR2013.pdf |
| Estimating the Natural Illumination Conditions from a Single Outdoor Image Jean-Francois Lalonde, Alexei A. Efros, and Srinivasa G. Narasimhan IJCV 2012 http://vision.gel.ulaval.ca/~jflalonde/projects/outdoorIllumination/index.html |
| Understanding and Recognition |
| SUN database: Large-scale Scene Recognition from Abbey to Zoo J. Xiao, J. Hays, K. Ehinger, A. Oliva, and A. Torralba CVPR 2010 http://groups.csail.mit.edu/vision/SUN/ |
| ImageNet: A Large-Scale Hierarchical Image Database J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li and L. Fei-Fei CVPR 2009 http://image-net.org/about-publication |
| SUN Attribute Database: Discovering, Annotating, and Recognizing Scene Attributes Genevieve Patterson and James Hays CVPR 2012 http://cs.brown.edu/~gen/sunattributes.html |
| Relative Attributes Devi Parikh and Kristen Grauman ICCV 2011 http://ttic.uchicago.edu/~dparikh/relative.html |
| Visual Recognition with Humans in the Loop Branson S., Wah C., Babenko B., Schroff F., Welinder P., Perona P., Belongie S. ECCV 2010 http://www.vision.caltech.edu/visipedia/20q.html |
| What Makes Paris Look Like Paris? Carl Doersch, Saurabh Singh, Abhinav Gupta, Josev Sivic, and Alexei A. Efros SIGGRAPH 2012 http://graphics.cs.cmu.edu/projects/whatMakesParis/ |