Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
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[1] R. Shepard,et al. Mental Rotation of Three-Dimensional Objects , 1971, Science.
[2] Matthew Turk,et al. A Morphable Model For The Synthesis Of 3D Faces , 1999, SIGGRAPH.
[3] Joshua B. Tenenbaum,et al. Separating Style and Content with Bilinear Models , 2000, Neural Computation.
[4] Takeo Kanade,et al. Multi-PIE , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.
[5] Jason Weston,et al. Curriculum learning , 2009, ICML '09.
[6] Geoffrey E. Hinton,et al. Transforming Auto-Encoders , 2011, ICANN.
[7] Sven J. Dickinson,et al. 3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model , 2012, NIPS.
[8] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[9] Alex Graves,et al. Playing Atari with Deep Reinforcement Learning , 2013, ArXiv.
[10] Wojciech Zaremba,et al. Learning to Execute , 2014, ArXiv.
[11] Graham W. Taylor,et al. "Mental Rotation" by Optimizing Transforming Distance , 2014, ArXiv.
[12] Roland Memisevic,et al. Modeling Deep Temporal Dependencies with Recurrent "Grammar Cells" , 2014, NIPS.
[13] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[14] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[15] Alexei A. Efros,et al. Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Yuting Zhang,et al. Learning to Disentangle Factors of Variation with Manifold Interaction , 2014, ICML.
[17] Xiaogang Wang,et al. Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations , 2014, NIPS.
[18] Tijmen Tieleman,et al. Optimizing Neural Networks that Generate Iimages , 2014 .
[19] Yaser Sheikh,et al. 3D object manipulation in a single photograph using stock 3D models , 2014, ACM Trans. Graph..
[20] Joshua B. Tenenbaum,et al. Deep Convolutional Inverse Graphics Network , 2015, NIPS.
[21] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[22] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[23] Thomas Brox,et al. Learning to generate chairs with convolutional neural networks , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Mathieu Aubry,et al. Understanding Deep Features with Computer-Generated Imagery , 2015, ICCV.
[25] Samy Bengio,et al. Show and tell: A neural image caption generator , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Honglak Lee,et al. Action-Conditional Video Prediction using Deep Networks in Atari Games , 2015, NIPS.
[27] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[28] Xiangyu Zhu,et al. High-fidelity Pose and Expression Normalization for face recognition in the wild , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Bruno A. Olshausen,et al. Discovering Hidden Factors of Variation in Deep Networks , 2014, ICLR.
[30] John Flynn,et al. Deep Stereo: Learning to Predict New Views from the World's Imagery , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.