Generative Grammar Semantic Trees Parse Graphs Training Descriptions New Image Scene Graph Semantic Trees Generated Description Vision Models Training Images
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[1] Fei-Fei Li,et al. Deep visual-semantic alignments for generating image descriptions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Geoffrey Zweig,et al. From captions to visual concepts and back , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] 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).
[4] Samy Bengio,et al. Show and tell: A neural image caption generator , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Xinlei Chen,et al. Learning a Recurrent Visual Representation for Image Caption Generation , 2014, ArXiv.
[6] Ruslan Salakhutdinov,et al. Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models , 2014, ArXiv.
[7] Yejin Choi,et al. TreeTalk: Composition and Compression of Trees for Image Descriptions , 2014, TACL.
[8] Wei Xu,et al. Explain Images with Multimodal Recurrent Neural Networks , 2014, ArXiv.
[9] Mario Fritz,et al. A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input , 2014, NIPS.
[10] Sanja Fidler,et al. What Are You Talking About? Text-to-Image Coreference , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Sanja Fidler,et al. Visual Semantic Search: Retrieving Videos via Complex Textual Queries , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Sanja Fidler,et al. Holistic Scene Understanding for 3D Object Detection with RGBD Cameras , 2013, 2013 IEEE International Conference on Computer Vision.
[13] Bernt Schiele,et al. Translating Video Content to Natural Language Descriptions , 2013, 2013 IEEE International Conference on Computer Vision.
[14] Fei-Fei Li,et al. Video Event Understanding Using Natural Language Descriptions , 2013, 2013 IEEE International Conference on Computer Vision.
[15] Jeffrey Mark Siskind,et al. Grounded Language Learning from Video Described with Sentences , 2013, ACL.
[16] Carina Silberer,et al. Models of Semantic Representation with Visual Attributes , 2013, ACL.
[17] Kate Saenko,et al. Generating Natural-Language Video Descriptions Using Text-Mined Knowledge , 2013, AAAI.
[18] Chenliang Xu,et al. A Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and Sparse Object Stitching , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Sanja Fidler,et al. A Sentence Is Worth a Thousand Pixels , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[21] Derek Hoiem,et al. Indoor Segmentation and Support Inference from RGBD Images , 2012, ECCV.
[22] Cristian Sminchisescu,et al. Semantic Segmentation with Second-Order Pooling , 2012, ECCV.
[23] Yejin Choi,et al. Collective Generation of Natural Image Descriptions , 2012, ACL.
[24] Cristian Sminchisescu,et al. CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Luke S. Zettlemoyer,et al. A Joint Model of Language and Perception for Grounded Attribute Learning , 2012, ICML.
[26] Dieter Fox,et al. RGB-(D) scene labeling: Features and algorithms , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[27] Karl Stratos,et al. Midge: Generating Image Descriptions From Computer Vision Detections , 2012, EACL.
[28] Sven J. Dickinson,et al. Video In Sentences Out , 2012, UAI.
[29] Vicente Ordonez,et al. Im2Text: Describing Images Using 1 Million Captioned Photographs , 2011, NIPS.
[30] Yiannis Aloimonos,et al. Corpus-Guided Sentence Generation of Natural Images , 2011, EMNLP.
[31] Marc Pollefeys,et al. Distributed message passing for large scale graphical models , 2011, CVPR 2011.
[32] Yejin Choi,et al. Baby talk: Understanding and generating simple image descriptions , 2011, CVPR 2011.
[33] Tamir Hazan,et al. A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction , 2010, NIPS.
[34] Cyrus Rashtchian,et al. Every Picture Tells a Story: Generating Sentences from Images , 2010, ECCV.
[35] 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.
[36] Fei-Fei Li,et al. Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[37] Li Fei-Fei,et al. Towards total scene understanding: Classification, annotation and segmentation in an automatic framework , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[38] Larry S. Davis,et al. Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers , 2008, ECCV.
[39] Trevor Darrell,et al. Learning Visual Representations using Images with Captions , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[40] Dan Klein,et al. Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network , 2003, NAACL.
[41] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.