Learning to Synthesize 3D Indoor Scenes from Monocular Images
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Ling Shao | Yi Fang | Li Liu | Fumin Shen | Jin Xie | Fan Zhu | Fumin Shen | Li Liu | Yi Fang | J. Xie | Fan Zhu | Ling Shao
[1] Jitendra Malik,et al. Aligning 3D models to RGB-D images of cluttered scenes , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Brendan J. Frey,et al. FLoSS: Facility location for subspace segmentation , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[3] Cristian Sminchisescu,et al. CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Gang Wang,et al. Convolutional recurrent neural networks: Learning spatial dependencies for image representation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[5] Jitendra Malik,et al. Learning Rich Features from RGB-D Images for Object Detection and Segmentation , 2014, ECCV.
[6] Sven J. Dickinson,et al. 3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model , 2012, NIPS.
[7] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[8] Antonio Torralba,et al. Context-based vision system for place and object recognition , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[9] Svetlana Lazebnik,et al. Scene recognition and weakly supervised object localization with deformable part-based models , 2011, 2011 International Conference on Computer Vision.
[10] Pat Hanrahan,et al. Example-based synthesis of 3D object arrangements , 2012, ACM Trans. Graph..
[11] Jianxiong Xiao,et al. 3D ShapeNets: A deep representation for volumetric shapes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Cristian Sminchisescu,et al. Object Recognition by Sequential Figure-Ground Ranking , 2011, International Journal of Computer Vision.
[13] Marcus Liwicki,et al. Scene labeling with LSTM recurrent neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Silvio Savarese,et al. Depth-Encoded Hough Voting for Joint Object Detection and Shape Recovery , 2010, ECCV.
[15] Antonio Torralba,et al. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.
[16] Bernt Schiele,et al. International Journal of Computer Vision manuscript No. (will be inserted by the editor) Semantic Modeling of Natural Scenes for Content-Based Image Retrieval , 2022 .
[17] Fei-Fei Li,et al. Deep visual-semantic alignments for generating image descriptions , 2015, CVPR.
[18] Sanja Fidler,et al. Monocular 3D Object Detection for Autonomous Driving , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] William T. Freeman,et al. Latent hierarchical structural learning for object detection , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[20] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Zhen Li,et al. LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling , 2016, ECCV.
[22] Andrew Y. Ng,et al. Integrating Visual and Range Data for Robotic Object Detection , 2008, ECCV 2008.
[23] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[24] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[26] Koen E. A. van de Sande,et al. Selective Search for Object Recognition , 2013, International Journal of Computer Vision.
[27] Trevor Darrell,et al. Long-term recurrent convolutional networks for visual recognition and description , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Dieter Fox,et al. RGB-(D) scene labeling: Features and algorithms , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Krista A. Ehinger,et al. SUN database: Large-scale scene recognition from abbey to zoo , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[30] Shijian Lu,et al. Discriminative Multi-modal Feature Fusion for RGBD Indoor Scene Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Gang Wang,et al. DAG-Recurrent Neural Networks for Scene Labeling , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Yoshua Bengio,et al. ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks , 2015, ArXiv.
[33] Roberto D. Galvão,et al. Uncapacitated facility location problems: contributions , 2004 .
[34] P J Webros. BACKPROPAGATION THROUGH TIME: WHAT IT DOES AND HOW TO DO IT , 1990 .
[35] David A. Forsyth,et al. Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry , 2010, ECCV.
[36] Jianxiong Xiao,et al. Sliding Shapes for 3D Object Detection in Depth Images , 2014, ECCV.
[37] Jitendra Malik,et al. Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation , 2015, International Journal of Computer Vision.
[38] Geoffrey E. Hinton,et al. Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[39] Dieter Fox,et al. A large-scale hierarchical multi-view RGB-D object dataset , 2011, 2011 IEEE International Conference on Robotics and Automation.
[40] Yann LeCun,et al. Road Scene Segmentation from a Single Image , 2012, ECCV.
[41] Sanja Fidler,et al. Holistic Scene Understanding for 3D Object Detection with RGBD Cameras , 2013, 2013 IEEE International Conference on Computer Vision.
[42] Jianxiong Xiao,et al. SUN RGB-D: A RGB-D scene understanding benchmark suite , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Pietro Perona,et al. A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[44] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[45] Derek Hoiem,et al. Indoor Segmentation and Support Inference from RGBD Images , 2012, ECCV.
[46] H. Zhang,et al. Learning 3D Scene Synthesis from Annotated RGB‐D Images , 2016, Comput. Graph. Forum.