Neural Scene De-rendering
暂无分享,去创建一个
[1] Zhuowen Tu,et al. Image Segmentation by Data-Driven Markov Chain Monte Carlo , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[2] C. Lawrence Zitnick,et al. Bringing Semantics into Focus Using Visual Abstraction , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Pieter Abbeel,et al. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets , 2016, NIPS.
[4] Yuting Zhang,et al. Deep Visual Analogy-Making , 2015, NIPS.
[5] Max Jaderberg,et al. Unsupervised Learning of 3D Structure from Images , 2016, NIPS.
[6] Geoffrey E. Hinton,et al. The "wake-sleep" algorithm for unsupervised neural networks. , 1995, Science.
[7] Daan Wierstra,et al. One-Shot Generalization in Deep Generative Models , 2016, ICML.
[8] A. Yuille,et al. Opinion TRENDS in Cognitive Sciences Vol.10 No.7 July 2006 Special Issue: Probabilistic models of cognition Vision as Bayesian inference: analysis by synthesis? , 2022 .
[9] R. J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[10] Geoffrey E. Hinton,et al. The Helmholtz Machine , 1995, Neural Computation.
[11] Yuandong Tian,et al. Single Image 3D Interpreter Network , 2016, ECCV.
[12] Jason Weston,et al. Curriculum learning , 2009, ICML '09.
[13] Kristen Grauman,et al. Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion , 2016, ECCV.
[14] Kevin Murphy,et al. Efficient inference in occlusion-aware generative models of images , 2015, ArXiv.
[15] Alex Graves,et al. DRAW: A Recurrent Neural Network For Image Generation , 2015, ICML.
[16] Ali Farhadi,et al. Visalogy: Answering Visual Analogy Questions , 2015, NIPS.
[17] Qiao Wang,et al. VirtualWorlds as Proxy for Multi-object Tracking Analysis , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Sebastian Nowozin,et al. The informed sampler: A discriminative approach to Bayesian inference in generative computer vision models , 2014, Comput. Vis. Image Underst..
[19] Geoffrey E. Hinton,et al. Attend, Infer, Repeat: Fast Scene Understanding with Generative Models , 2016, NIPS.
[20] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Scott E. Reed,et al. Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis , 2015, NIPS.
[22] C. Lawrence Zitnick,et al. Learning Common Sense through Visual Abstraction , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[23] Rob Fergus,et al. Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks , 2015, NIPS.
[24] Clément Farabet,et al. Torch7: A Matlab-like Environment for Machine Learning , 2011, NIPS 2011.
[25] Joshua B. Tenenbaum,et al. Picture: A probabilistic programming language for scene perception , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[27] Jiajun Wu,et al. Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning , 2015, NIPS.
[28] Andriy Mnih,et al. Variational Inference for Monte Carlo Objectives , 2016, ICML.
[29] Michael J. Black,et al. OpenDR: An Approximate Differentiable Renderer , 2014, ECCV.
[30] Koray Kavukcuoglu,et al. Multiple Object Recognition with Visual Attention , 2014, ICLR.
[31] Joshua B. Tenenbaum,et al. Deep Convolutional Inverse Graphics Network , 2015, NIPS.
[32] Katja Hofmann,et al. The Malmo Platform for Artificial Intelligence Experimentation , 2016, IJCAI.
[33] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[34] Mirella Lapata,et al. Learning to Interpret and Describe Abstract Scenes , 2015, NAACL.
[35] Fei-Fei Li,et al. Deep visual-semantic alignments for generating image descriptions , 2015, CVPR.
[36] Ali Farhadi,et al. Target-driven visual navigation in indoor scenes using deep reinforcement learning , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[37] Jian Sun,et al. Instance-Aware Semantic Segmentation via Multi-task Network Cascades , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] David Poeppel,et al. Analysis by Synthesis: A (Re-)Emerging Program of Research for Language and Vision , 2010, Biolinguistics.