Single Image 3D without a Single 3D Image
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Martial Hebert | Abhinav Gupta | David F. Fouhey | Wajahat Hussain | A. Gupta | M. Hebert | Wajahat Hussain | D. Fouhey
[1] Marc Pollefeys,et al. Pulling Things out of Perspective , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[2] D. A. Huffman,et al. Impossible Objects as Nonsense Sentences , 2012 .
[3] Jitendra Malik,et al. Computing Local Surface Orientation and Shape from Texture for Curved Surfaces , 1997, International Journal of Computer Vision.
[4] Jitendra Malik,et al. Discriminative Decorrelation for Clustering and Classification , 2012, ECCV.
[5] C. V. Jawahar,et al. Blocks That Shout: Distinctive Parts for Scene Classification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Jan-Michael Frahm,et al. 3D model matching with Viewpoint-Invariant Patches (VIP) , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Ashutosh Saxena,et al. Learning Depth from Single Monocular Images , 2005, NIPS.
[8] S. Sutherland. Seeing things , 1989, Nature.
[9] David A. Forsyth,et al. Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry , 2010, ECCV.
[10] Silvio Savarese,et al. Layout Estimation of Highly Cluttered Indoor Scenes Using Geometric and Semantic Cues , 2013, ICIAP.
[11] Derek Hoiem,et al. Recovering the spatial layout of cluttered rooms , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[12] Alexei A. Efros,et al. Geometric context from a single image , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[13] Song-Chun Zhu,et al. Scene Parsing by Integrating Function, Geometry and Appearance Models , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Huamin Wang,et al. Factoring repeated content within and among images , 2008, ACM Trans. Graph..
[15] Abhinav Gupta,et al. Designing deep networks for surface normal estimation , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Derek Hoiem,et al. Support Surface Prediction in Indoor Scenes , 2013, 2013 IEEE International Conference on Computer Vision.
[17] Yong Jae Lee,et al. Style-Aware Mid-level Representation for Discovering Visual Connections in Space and Time , 2013, 2013 IEEE International Conference on Computer Vision.
[18] T. Kanade,et al. Geometric reasoning for single image structure recovery , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Bolei Zhou,et al. Learning Deep Features for Scene Recognition using Places Database , 2014, NIPS.
[20] Alan L. Yuille,et al. The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference , 2000, NIPS.
[21] David A. Forsyth,et al. Shape from Texture without Boundaries , 2002, International Journal of Computer Vision.
[22] Yi Ma,et al. TILT: Transform Invariant Low-Rank Textures , 2010, ACCV 2010.
[23] Derek Hoiem,et al. Indoor Segmentation and Support Inference from RGBD Images , 2012, ECCV.
[24] Daniel P. Huttenlocher,et al. Efficient Graph-Based Image Segmentation , 2004, International Journal of Computer Vision.
[25] Marc Pollefeys,et al. Match Box: Indoor Image Matching via Box-Like Scene Estimation , 2014, 2014 2nd International Conference on 3D Vision.
[26] Rob Fergus,et al. Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[27] Silvio Savarese,et al. Understanding Indoor Scenes Using 3D Geometric Phrases , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[28] Takeo Kanade,et al. Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces , 2010, NIPS.
[29] Martial Hebert,et al. Unfolding an Indoor Origami World , 2014, ECCV.
[30] Marc Pollefeys,et al. Discriminatively Trained Dense Surface Normal Estimation , 2014, ECCV.
[31] Andrew Owens,et al. Shape Anchors for Data-Driven Multi-view Reconstruction , 2013, 2013 IEEE International Conference on Computer Vision.
[32] Marc Pollefeys,et al. Learning a Confidence Measure for Optical Flow , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[34] Jitendra Malik,et al. Poselets: Body part detectors trained using 3D human pose annotations , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[35] Silvio Savarese,et al. Understanding the 3D layout of a cluttered room from multiple images , 2014, IEEE Winter Conference on Applications of Computer Vision.
[36] Alexei A. Efros,et al. Unsupervised Discovery of Mid-Level Discriminative Patches , 2012, ECCV.
[37] Rodney A. Brooks,et al. The ACRONYM Model-Based Vision System , 1979, IJCAI.
[38] Martial Hebert,et al. Data-Driven 3D Primitives for Single Image Understanding , 2013, 2013 IEEE International Conference on Computer Vision.
[39] Sven J. Dickinson,et al. 3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model , 2012, NIPS.
[40] Alexei A. Efros,et al. What makes Paris look like Paris? , 2015, Commun. ACM.
[41] Raquel Urtasun,et al. Efficient Exact Inference for 3D Indoor Scene Understanding , 2012, ECCV.
[42] Alexei A. Efros,et al. Mid-level Visual Element Discovery as Discriminative Mode Seeking , 2013, NIPS.