A Simple Baseline for Audio-Visual Scene-Aware Dialog
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[1] Alon Lavie,et al. METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments , 2005, IEEvaluation@ACL.
[2] Jean Carletta,et al. Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization , 2005, ACL 2005.
[3] Wei Xu,et al. Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Kevin Wilson,et al. Looking to listen at the cocktail party , 2018, ACM Trans. Graph..
[5] Bolei Zhou,et al. Visual Question Generation as Dual Task of Visual Question Answering , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[6] Rogério Schmidt Feris,et al. Learning to Separate Object Sounds by Watching Unlabeled Video , 2018, ECCV.
[7] Richard Socher,et al. Dynamic Memory Networks for Visual and Textual Question Answering , 2016, ICML.
[8] Michael S. Bernstein,et al. Visual7W: Grounded Question Answering in Images , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Alexander G. Schwing,et al. Diverse and Coherent Paragraph Generation from Images , 2018, ECCV.
[10] Ira Kemelmacher-Shlizerman,et al. Audio to Body Dynamics , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[11] Luc Van Gool,et al. A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Luc Van Gool,et al. Temporal Segment Networks: Towards Good Practices for Deep Action Recognition , 2016, ECCV.
[13] Allan Jabri,et al. Revisiting Visual Question Answering Baselines , 2016, ECCV.
[14] Fei-Fei Li,et al. Large-Scale Video Classification with Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[16] Bolei Zhou,et al. Temporal Relational Reasoning in Videos , 2017, ECCV.
[17] Matthieu Cord,et al. MUTAN: Multimodal Tucker Fusion for Visual Question Answering , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[18] Dhruv Batra,et al. Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions? , 2016, EMNLP.
[19] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[20] Svetlana Lazebnik,et al. Two Can Play This Game: Visual Dialog with Discriminative Question Generation and Answering , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[21] Lorenzo Torresani,et al. Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[22] Kate Saenko,et al. Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering , 2015, ECCV.
[23] 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).
[24] Jianfeng Gao,et al. Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation , 2017, IJCNLP.
[25] Mubarak Shah,et al. Human Pose Estimation in Videos , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[26] Wei Xu,et al. Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN) , 2014, ICLR.
[27] Antonio Torralba,et al. SoundNet: Learning Sound Representations from Unlabeled Video , 2016, NIPS.
[28] Anoop Cherian,et al. Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7 , 2018, ArXiv.
[29] Jiebo Luo,et al. Image Captioning with Semantic Attention , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Ali Farhadi,et al. Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding , 2016, ECCV.
[31] Florian Metze,et al. CMU Sinbad’s Submission for the DSTC7 AVSD Challenge , 2019 .
[32] Andrew Owens,et al. Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning , 2017, International Journal of Computer Vision.
[33] Svetlana Lazebnik,et al. Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space , 2017, NIPS.
[34] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[35] Andrew Owens,et al. Audio-Visual Scene Analysis with Self-Supervised Multisensory Features , 2018, ECCV.
[36] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[37] Jiasen Lu,et al. Hierarchical Question-Image Co-Attention for Visual Question Answering , 2016, NIPS.
[38] Samy Bengio,et al. Show and tell: A neural image caption generator , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Mario Fritz,et al. A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input , 2014, NIPS.
[40] C. Lawrence Zitnick,et al. CIDEr: Consensus-based image description evaluation , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Alexander G. Schwing,et al. Creativity: Generating Diverse Questions Using Variational Autoencoders , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Ashwin K. Vijayakumar,et al. Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models , 2016, ArXiv.
[43] José M. F. Moura,et al. Visual Dialog , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Fei-Fei Li,et al. Deep visual-semantic alignments for generating image descriptions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Svetlana Lazebnik,et al. Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering , 2018, NeurIPS.
[46] 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).
[47] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[48] Trevor Darrell,et al. Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding , 2016, EMNLP.
[49] 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).
[50] Saurabh Singh,et al. Where to Look: Focus Regions for Visual Question Answering , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[51] Cees Snoek,et al. VideoLSTM convolves, attends and flows for action recognition , 2016, Comput. Vis. Image Underst..
[52] David A. Forsyth,et al. Diverse and Controllable Image Captioning with Part-of-Speech Guidance , 2018, ArXiv.
[53] Philip H. S. Torr,et al. FLIPDIAL: A Generative Model for Two-Way Visual Dialogue , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[54] 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).
[55] José M. F. Moura,et al. Visual Coreference Resolution in Visual Dialog using Neural Module Networks , 2018, ECCV.
[56] Alexander G. Schwing,et al. Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering , 2018, ECCV.
[57] Lin Ma,et al. Learning to Answer Questions from Image Using Convolutional Neural Network , 2015, AAAI.
[58] Tamir Hazan,et al. High-Order Attention Models for Visual Question Answering , 2017, NIPS.
[59] Jiasen Lu,et al. Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model , 2017, NIPS.
[60] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[61] Tamir Hazan,et al. Factor Graph Attention , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[62] Andrew Zisserman,et al. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[63] Chin-Yew Lin,et al. ROUGE: A Package for Automatic Evaluation of Summaries , 2004, ACL 2004.
[64] Margaret Mitchell,et al. Generating Natural Questions About an Image , 2016, ACL.
[65] Alexander J. Smola,et al. Stacked Attention Networks for Image Question Answering , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[66] Anoop Cherian,et al. End-to-end Audio Visual Scene-aware Dialog Using Multimodal Attention-based Video Features , 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[67] Li Fei-Fei,et al. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[68] Qi Wu,et al. Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[69] Alexander G. Schwing,et al. Convolutional Image Captioning , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[70] Stefan Lee,et al. Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[71] Li Fei-Fei,et al. DenseCap: Fully Convolutional Localization Networks for Dense Captioning , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[72] Razvan Pascanu,et al. A simple neural network module for relational reasoning , 2017, NIPS.
[73] Aren Jansen,et al. CNN architectures for large-scale audio classification , 2016, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[74] Wei Xu,et al. Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question , 2015, NIPS.
[75] Andrew Zisserman,et al. Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.
[76] Anoop Cherian,et al. Audio Visual Scene-Aware Dialog , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[77] Margaret Mitchell,et al. VQA: Visual Question Answering , 2015, International Journal of Computer Vision.
[78] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[79] Dan Klein,et al. Deep Compositional Question Answering with Neural Module Networks , 2015, ArXiv.
[80] Richard S. Zemel,et al. Exploring Models and Data for Image Question Answering , 2015, NIPS.