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Robust higher order potentials for enforcing label consistency
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Associative hierarchical crfs for object class image segmentation
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L. Ladicky, C. Russell, P. Kohli, and P. Torr, "Associative hierarchical crfs for object class image segmentation," in ICCV, 2009.
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Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation
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J. Shotton, J.Winn, C. Rother, and A. Criminisi, "Textonboost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation," in ECCV, 2006.
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Relating things and stuff by high-order potential modeling
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B. Kim, M. Sun, P. Kohli, and S. Savarese, "Relating things and stuff by high-order potential modeling," in ECCV Workshop (HiPot), 2012.
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Blocks world revisited: Image understanding using qualitative geometry and mechanics
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A. Gupta, A. Efros, and M. Hebert, "Blocks world revisited: Image understanding using qualitative geometry and mechanics," ECCV, 2010.
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Geometric context from a single image
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D. Hoiem, A. A. Efros, and M. Hebert, "Geometric context from a single image," in ICCV, 2005.
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Recovering free space of indoor scenes from a single image
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V. Hedau, D. Hoiem, and D. Forsyth, "Recovering free space of indoor scenes from a single image," in CVPR, 2012.
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Semantic structure from motion
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S. Y. Bao and S. Savarese, "Semantic structure from motion," in CVPR, 2011.
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Semantic labeling of 3d point clouds for indoor scenes
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H. S. Koppula, A. Anand, T. Joachims, and A. Saxena, "Semantic labeling of 3d point clouds for indoor scenes," in NIPS, 2011.
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Co-inference machines for multi-modal scene analysis
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D. Munoz, J. A. Bagnell, and M. Hebert, "Co-inference machines for multi-modal scene analysis," in ECCV, 2012.
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Indoor segmentation and support inference from rgbd images
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N. Silberman, D. Hoiem, P. Kohli, and R. Fergus, "Indoor segmentation and support inference from rgbd images," ECCV, 2012.
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Microsoft Kinect
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Microsoft Kinect, http://www.xbox.com/en-US/kinect.
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Fast approximate energy minimization via graph cuts
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Y. Boykov, O. Veksler, and R. Zabih, "Fast approximate energy minimization via graph cuts," PAMI, 2001.
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3d-based reasoning with blocks, support, and stability
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Z. Jia, A. Gallagher, A. Saxena, and T. Chen, "3d-based reasoning with blocks, support, and stability," in CVPR, 2013.
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From 3d scene geometry to human workspace
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A. Gupta, S. Satkin, A. A. Efros, and M. Hebert, "From 3d scene geometry to human workspace," in CVPR, 2011.
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Perceptual organization and recognition of indoor scenes from rgb-d images
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S. Gupta, P. Arbelaez, and J. Malik, "Perceptual organization and recognition of indoor scenes from rgb-d images," in CVPR, 2013.
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Joint optimization for object class segmentation and dense stereo reconstruction
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L. Ladick̀y, P. Sturgess, C. Russell, S. Sengupta, Y. Bastanlar, W. Clocksin, and P. Torr, "Joint optimization for object class segmentation and dense stereo reconstruction," IJCV, 2012.
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Object stereo: Joint stereo matching and object segmentation
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M. Bleyer, C. Rother, P. Kohli, D. Scharstein, and S. Sinha, "Object stereo: joint stereo matching and object segmentation," in CVPR, 2011.
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Beyond the line of sight: Labeling the underlying surfaces
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R. Guo and D. Hoiem, "Beyond the line of sight: labeling the underlying surfaces," in ECCV, 2012.
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Harmony potentials for joint classification and segmentation
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J. Gonfaus, X. Boix, J. Van De Weijer, A. Bagdanov, J. Serrat, and J. Gonzalez, "Harmony potentials for joint classification and segmentation," in CVPR, 2010.
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The 3d hough transform for plane detection in point clouds: A review and a new accumulator design
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D. Borrmann, J. Elseberg, K. Lingemann, and A. N̈uchter, "The 3d hough transform for plane detection in point clouds: A review and a new accumulator design," 3D Research, 2011.
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Object detection with discriminatively trained part-based models
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P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan, "Object detection with discriminatively trained part-based models," PAMI, 2010.
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What, where and how many? Combining object detectors and crfs
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L. Ladick̀y, P. Sturgess, K. Alahari, C. Russell, and P. Torr, "What, where and how many? combining object detectors and crfs," ECCV, 2010.
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Rgb-(d) scene labeling: Features and algorithms
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X. Ren, L. Bo, and D. Fox, "Rgb-(d) scene labeling: Features and algorithms," in CVPR, 2012.
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Indoor scene segmentation using a structured light sensor
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N. Silberman and R. Fergus, "Indoor scene segmentation using a structured light sensor," in ICCV Workshop (3DRR), 2011.
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Project page
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Project page, http://cvgl.stanford.edu/projects/vcrf/.
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