Weakly Supervised 3D Reconstruction with Adversarial Constraint
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Silvio Savarese | Animesh Garg | Manmohan Krishna Chandraker | JunYoung Gwak | Christopher B. Choy | S. Savarese | Animesh Garg | C. Choy | Manmohan Chandraker | JunYoung Gwak
[1] Ramesh Raskar,et al. Image-based visual hulls , 2000, SIGGRAPH.
[2] Fabrice Labeau,et al. Discrete Time Signal Processing , 2004 .
[3] Steven M. Seitz,et al. Photorealistic Scene Reconstruction by Voxel Coloring , 1997, International Journal of Computer Vision.
[4] Kiriakos N. Kutulakos,et al. A Theory of Shape by Space Carving , 2000, International Journal of Computer Vision.
[5] Peter Shirley,et al. An Efficient and Robust Ray-Box Intersection Algorithm , 2005, J. Graph. Tools.
[6] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[7] Pietro Perona,et al. 3D Reconstruction by Shadow Carving: Theory and Practical Evaluation , 2007, International Journal of Computer Vision.
[8] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[9] Jean Ponce,et al. Accurate, Dense, and Robust Multiview Stereopsis , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Richard Szeliski,et al. Towards Internet-scale multi-view stereo , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[11] Gabriele Peters,et al. The structure-from-motion reconstruction pipeline - a survey with focus on short image sequences , 2010, Kybernetika.
[12] Simon Fuhrmann,et al. Scene Reconstruction from Community Photo Collections , 2010, Computer.
[13] Carlos Hernández,et al. Shape from Photographs: A Multi-view Stereo Pipeline , 2010, Computer Vision: Detection, Recognition and Reconstruction.
[14] Christian Wolf,et al. Sequential Deep Learning for Human Action Recognition , 2011, HBU.
[15] José Ruíz Ascencio,et al. Visual simultaneous localization and mapping: a survey , 2012, Artificial Intelligence Review.
[16] Ming Yang,et al. 3D Convolutional Neural Networks for Human Action Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Antonio Torralba,et al. Parsing IKEA Objects: Fine Pose Estimation , 2013, 2013 IEEE International Conference on Computer Vision.
[18] Ian D. Reid,et al. Dense Reconstruction Using 3D Object Shape Priors , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[20] Silvio Savarese,et al. Beyond PASCAL: A benchmark for 3D object detection in the wild , 2014, IEEE Winter Conference on Applications of Computer Vision.
[21] Luc Van Gool,et al. The Pascal Visual Object Classes Challenge: A Retrospective , 2014, International Journal of Computer Vision.
[22] Marc Pollefeys,et al. Discrete optimization of ray potentials for semantic 3D reconstruction , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Derek Hoiem,et al. Completing 3D object shape from one depth image , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Jitendra Malik,et al. Category-specific object reconstruction from a single image , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Sebastian Scherer,et al. VoxNet: A 3D Convolutional Neural Network for real-time object recognition , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[26] Jianxiong Xiao,et al. 3D ShapeNets: A deep representation for volumetric shapes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Leonidas J. Guibas,et al. ShapeNet: An Information-Rich 3D Model Repository , 2015, ArXiv.
[28] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[29] Thomas Brox,et al. Learning to generate chairs with convolutional neural networks , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Lorenzo Torresani,et al. Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[31] Andrew Zisserman,et al. Spatial Transformer Networks , 2015, NIPS.
[32] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Leonidas J. Guibas,et al. Volumetric and Multi-view CNNs for Object Classification on 3D Data , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Abhinav Gupta,et al. Learning a Predictable and Generative Vector Representation for Objects , 2016, ECCV.
[35] Wojciech Zaremba,et al. Improved Techniques for Training GANs , 2016, NIPS.
[36] Leonidas J. Guibas,et al. ObjectNet3D: A Large Scale Database for 3D Object Recognition , 2016, ECCV.
[37] Tao Mei,et al. Jointly Modeling Embedding and Translation to Bridge Video and Language , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Yuandong Tian,et al. Single Image 3D Interpreter Network , 2016, ECCV.
[39] John Salvatier,et al. Theano: A Python framework for fast computation of mathematical expressions , 2016, ArXiv.
[40] Bernt Schiele,et al. Generative Adversarial Text to Image Synthesis , 2016, ICML.
[41] Lorenzo Torresani,et al. Deep End2End Voxel2Voxel Prediction , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[42] Jiajun Wu,et al. Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling , 2016, NIPS.
[43] Alexei A. Efros,et al. Context Encoders: Feature Learning by Inpainting , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[45] Silvio Savarese,et al. Deep Metric Learning via Lifted Structured Feature Embedding , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Erik B. Sudderth,et al. Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Silvio Savarese,et al. 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction , 2016, ECCV.
[48] Jianxiong Xiao,et al. Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[49] Alexei A. Efros,et al. Generative Visual Manipulation on the Natural Image Manifold , 2016, ECCV.
[50] Lucas Theis,et al. Amortised MAP Inference for Image Super-resolution , 2016, ICLR.
[51] Gernot Riegler,et al. OctNet: Learning Deep 3D Representations at High Resolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Tomas Pfister,et al. Learning from Simulated and Unsupervised Images through Adversarial Training , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[53] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Object Reconstruction , 2017, Encyclopedia of GIS.
[55] Matthias Nießner,et al. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[56] Jitendra Malik,et al. Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).