Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning
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Xuanjing Huang | Siyuan Wang | Zhongyu Wei | Zhihao Fan | Xuanjing Huang | Zhongyu Wei | Zhihao Fan | Siyuan Wang
[1] Margaret Mitchell,et al. VQA: Visual Question Answering , 2015, International Journal of Computer Vision.
[2] Xuanjing Huang,et al. A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators , 2018, COLING.
[3] Sanja Fidler,et al. Towards Diverse and Natural Image Descriptions via a Conditional GAN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[4] Xuanjing Huang,et al. A Question Type Driven Framework to Diversify Visual Question Generation , 2018, IJCAI.
[5] Yejin Choi,et al. Baby talk: Understanding and generating simple image descriptions , 2011, CVPR 2011.
[6] Chunhua Shen,et al. What Value Do Explicit High Level Concepts Have in Vision to Language Problems? , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Geoffrey Zweig,et al. Language Models for Image Captioning: The Quirks and What Works , 2015, ACL.
[8] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Alon Lavie,et al. METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments , 2005, IEEvaluation@ACL.
[10] Margaret Mitchell,et al. Generating Natural Questions About an Image , 2016, ACL.
[11] Eduard H. Hovy,et al. Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics , 2003, NAACL.
[12] C. Lawrence Zitnick,et al. CIDEr: Consensus-based image description evaluation , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Lei Zhang,et al. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[14] Basura Fernando,et al. SPICE: Semantic Propositional Image Caption Evaluation , 2016, ECCV.
[15] Zhe Gan,et al. Semantic Compositional Networks for Visual Captioning , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Tao Qin,et al. Question Answering and Question Generation as Dual Tasks , 2017, ArXiv.
[17] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[18] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[19] Xu Jia,et al. Guiding the Long-Short Term Memory Model for Image Caption Generation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[20] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[21] Svetlana Lazebnik,et al. Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models , 2015, International Journal of Computer Vision.
[22] Yash Goyal,et al. Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Jiasen Lu,et al. VQA: Visual Question Answering , 2015, ICCV.
[24] Geoffrey Zweig,et al. From captions to visual concepts and back , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Zhoujun Li,et al. Neural Response Generation with Dynamic Vocabularies , 2017, AAAI.
[26] Shaodi You,et al. Automatic Generation of Grounded Visual Questions , 2016, IJCAI.
[27] Jürgen Schmidhuber,et al. Learning to forget: continual prediction with LSTM , 1999 .
[28] 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).
[29] Tao Mei,et al. Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Cyrus Rashtchian,et al. Every Picture Tells a Story: Generating Sentences from Images , 2010, ECCV.
[31] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[32] Fei-Fei Li,et al. Deep visual-semantic alignments for generating image descriptions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Jiebo Luo,et al. Image Captioning with Semantic Attention , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Samy Bengio,et al. Show and tell: A neural image caption generator , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Saurabh Gupta,et al. Exploring Nearest Neighbor Approaches for Image Captioning , 2015, ArXiv.
[36] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[37] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[38] Pratik Rane,et al. Self-Critical Sequence Training for Image Captioning , 2018 .
[39] Sanja Fidler,et al. Generating Multi-Sentence Lingual Descriptions of Indoor Scenes , 2015, ArXiv.
[40] Richard Socher,et al. Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).