《基于视觉推理的视频理解(26页)——基于图神经网络认知的智能计算专场.pdf》由会员分享,可在线阅读,更多相关《基于视觉推理的视频理解(26页)——基于图神经网络认知的智能计算专场.pdf(26页珍藏版)》请在三个皮匠报告上搜索。
1、?视频理解典型应用视频理解典型应用?视频理解研究目标视频理解研究目标?视频理解研究代表性任务视频理解研究代表性任务?视频理解的挑战:复杂场景视频理解的挑战:复杂场景Kenneth Marino,Ruslan Salakhutdinov,Abhinav Gupta:The More You Know:Using Knowledge Graphs for Image Classification.CVPR 2017:20-28视频理解的挑战:小样本视频理解的挑战:小样本Junyu Gao,Tianzhu Zhang,Changsheng Xu:I Know the Relationships:Ze
2、ro-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs.AAAI 2019:8303-8311视频理解的挑战:可解释性视频理解的挑战:可解释性Will Norcliffe-Brown,Stathis Vafeias,Sarah Parisot:Learning Conditioned Graph Structures for Interpretable Visual Question Answering.NeurIPS 2018:8344-8353视频理解的挑战:视频
3、理解的挑战:Medhini Narasimhan,Svetlana Lazebnik,Alexander G.Schwing:Out of the Box:Reasoning with Graph Convolution Nets for Factual Visual Question Answering.NeurIPS 2018:2659-2670深度推理学习深度推理学习图神经网络基本模型图神经网络基本模型Zonghan Wu,Shirui Pan,Fengwen Chen,Guodong Long,Chengqi Zhang,Philip S.Yu:A Comprehensive Surv
4、ey on Graph Neural Networks.CoRR abs/1901.00596(2019)ConvGNN for ClassificationGAE for EmbeddingSTGNN for Spatio-temporal LearningConvGNN with Gconvs图神经网络应用图神经网络应用Jie Zhou,Ganqu Cui,Zhengyan Zhang,Cheng Yang,Zhiyuan Liu,Maosong Sun:Graph Neural Networks:A Review of Methods and Applications.CoRR abs/
5、1812.08434(2018)深度图推理学习:基本要素深度图推理学习:基本要素?(?(?)?(?)?(深度图推理学习到视觉内容理解深度图推理学习到视觉内容理解Xinlei Chen,Li-Jia Li,Li Fei-Fei,Abhinav Gupta:Iterative Visual Reasoning Beyond Convolutions.CVPR 2018:7239-7248?Learning+Reasoning基于图推理学习视觉内容描述基于图推理学习视觉内容描述Ting Yao,Yingwei Pan,Yehao Li,Tao Mei:Exploring Visual Relatio
6、nship for Image Captioning.ECCV(14)2018:711-727基于图推理学习视觉内容描述基于图推理学习视觉内容描述Ting Yao,Yingwei Pan,Yehao Li,Tao Mei:Exploring Visual Relationship for Image Captioning.ECCV(14)2018:711-727基于深度推理学习的视觉问答基于深度推理学习的视觉问答Medhini Narasimhan,Svetlana Lazebnik,Alexander G.Schwing:Out of the Box:Reasoning with Graph
7、 Convolution Nets for Factual Visual Question Answering.NeurIPS 2018:2659-2670基于深度推理学习的视觉问答基于深度推理学习的视觉问答Medhini Narasimhan,Svetlana Lazebnik,Alexander G.Schwing:Out of the Box:Reasoning with Graph Convolution Nets for Factual Visual Question Answering.NeurIPS 2018:2659-2670基于深度推理学习的视频动作识别基于深度推理学习的视频
8、动作识别Yunpeng Chen,Marcus Rohrbach,Zhicheng Yan,Shuicheng Yan,Jiashi Feng,Yannis Kalantidis:Graph-Based Global Reasoning Networks?CVPR 2019?基于深度推理学习的视频动作识别基于深度推理学习的视频动作识别Yunpeng Chen,Marcus Rohrbach,Zhicheng Yan,Shuicheng Yan,Jiashi Feng,Yannis Kalantidis:Graph-Based Global Reasoning Networks?CVPR 201
9、9?基于深度推理学习的视觉关系识别基于深度推理学习的视觉关系识别Zhouxia Wang,Tianshui Chen,Jimmy S.J.Ren,Weihao Yu,Hui Cheng,Liang Lin:Deep Reasoning with Knowledge Graph for Social Relationship Understanding.IJCAI 2018:1021-1028基于深度推理学习的视觉关系识别基于深度推理学习的视觉关系识别Zhouxia Wang,Tianshui Chen,Jimmy S.J.Ren,Weihao Yu,Hui Cheng,Liang Lin:De
10、ep Reasoning with Knowledge Graph for Social Relationship Understanding.IJCAI 2018:1021-1028基于深度推理学习的组行为识别基于深度推理学习的组行为识别Jianchao Wu,Limin Wang,Li Wang,Jie Guo,Gangshan Wu:Learning Actor Relation Graphs for Group Activity Recognition.CVPR 2019基于深度推理学习的组行为识别基于深度推理学习的组行为识别Jianchao Wu,Limin Wang,Li Wang,Jie Guo,Gangshan Wu:Learning Actor Relation Graphs for Group Activity Recognition.CVPR 2019THANK!THANKS!THANKS!