Learning Visual Storylines with Skipping Recurrent Neural Networks
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[1] Ali Farhadi,et al. Image Classification and Retrieval from User-Supplied Tags , 2014, ArXiv.
[2] Mario Fritz,et al. Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[3] Eric P. Xing,et al. Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Lukás Burget,et al. Recurrent neural network based language model , 2010, INTERSPEECH.
[5] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[6] PAUL J. WERBOS,et al. Generalization of backpropagation with application to a recurrent gas market model , 1988, Neural Networks.
[7] Fei-Fei Li,et al. Deep visual-semantic alignments for generating image descriptions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Chih-Jen Lin,et al. Large-Scale Video Summarization Using Web-Image Priors , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[10] Xinlei Chen,et al. Mind's eye: A recurrent visual representation for image caption generation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Steven M. Seitz,et al. The 3D Jigsaw Puzzle: Mapping Large Indoor Spaces , 2014, ECCV.
[12] Ali Farhadi,et al. Learning to Select and Order Vacation Photographs , 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.
[13] Eric P. Xing,et al. Joint Summarization of Large-Scale Collections of Web Images and Videos for Storyline Reconstruction , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Samy Bengio,et al. Show and tell: A neural image caption generator , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Gunhee Kim,et al. Storyline Representation of Egocentric Videos with an Applications to Story-Based Search , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[16] Lukás Burget,et al. Extensions of recurrent neural network language model , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[17] Ramesh C. Jain,et al. Summarization of personal photologs using multidimensional content and context , 2011, ICMR '11.
[18] Fei-Fei Li,et al. Deep visual-semantic alignments for generating image descriptions , 2015, CVPR.
[19] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[20] Trevor Darrell,et al. Sequence to Sequence -- Video to Text , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[21] Gunhee Kim,et al. Joint photo stream and blog post summarization and exploration , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Xinlei Chen,et al. NEIL: Extracting Visual Knowledge from Web Data , 2013, 2013 IEEE International Conference on Computer Vision.
[23] David A. Shamma,et al. The New Data and New Challenges in Multimedia Research , 2015, ArXiv.
[24] David S. Doermann,et al. Video summarization by curve simplification , 1998, MULTIMEDIA '98.
[25] Sanja Fidler,et al. Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[26] Xinlei Chen,et al. Learning a Recurrent Visual Representation for Image Caption Generation , 2014, ArXiv.
[27] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[28] Alexander J. Smola,et al. Stacked Attention Networks for Image Question Answering , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Larry S. Davis,et al. Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[30] Yale Song,et al. Video co-summarization: Video summarization by visual co-occurrence , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Yong Jae Lee,et al. Discovering important people and objects for egocentric video summarization , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Tao Li,et al. Generating Pictorial Storylines Via Minimum-Weight Connected Dominating Set Approximation in Multi-View Graphs , 2012, AAAI.
[33] Ba Tu Truong,et al. Video abstraction: A systematic review and classification , 2007, TOMCCAP.
[34] Ali Farhadi,et al. VisKE: Visual knowledge extraction and question answering by visual verification of relation phrases , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Ioannis Pitas,et al. Information theory-based shot cut/fade detection and video summarization , 2006, IEEE Transactions on Circuits and Systems for Video Technology.
[36] Chong-Wah Ngo,et al. Video summarization and scene detection by graph modeling , 2005, IEEE Transactions on Circuits and Systems for Video Technology.
[37] Roger C. Schank,et al. SCRIPTS, PLANS, GOALS, AND UNDERSTANDING , 1988 .
[38] Nathanael Chambers,et al. Unsupervised Learning of Narrative Event Chains , 2008, ACL.
[39] Ronald J. Williams,et al. Gradient-based learning algorithms for recurrent networks and their computational complexity , 1995 .
[40] Ali Farhadi,et al. Learning Everything about Anything: Webly-Supervised Visual Concept Learning , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[41] Yoshua Bengio,et al. Learning long-term dependencies with gradient descent is difficult , 1994, IEEE Trans. Neural Networks.
[42] Richard Socher,et al. Dynamic Memory Networks for Visual and Textual Question Answering , 2016, ICML.
[43] Mirella Lapata,et al. Learning to Tell Tales: A Data-driven Approach to Story Generation , 2009, ACL/IJCNLP.
[44] Michael S. Bernstein,et al. Visual7W: Grounded Question Answering in Images , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Alex Graves,et al. DRAW: A Recurrent Neural Network For Image Generation , 2015, ICML.
[46] Geoffrey E. Hinton,et al. Generating Text with Recurrent Neural Networks , 2011, ICML.
[47] Sergei Vassilvitskii,et al. k-means++: the advantages of careful seeding , 2007, SODA '07.
[48] 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).
[49] Saurabh Singh,et al. Where to Look: Focus Regions for Visual Question Answering , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[50] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[51] Nuria Oliver,et al. Supporting personal photo storytelling for social albums , 2010, ACM Multimedia.
[52] Fei-Fei Li,et al. Visualizing and Understanding Recurrent Networks , 2015, ArXiv.