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Dynamic scene graph generation aims at generating a scene graph of the given video.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Segmentation in the perception and memory of events
Christopher A Kurby and Jeffrey M Zacks · 2008
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3d convolutional neural networks for human action recognition
Shuiwang Ji, Wei Xu, Ming Yang, and Kai Yu · 2012
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Two-stream convolutional networks for action recognition in videos
Karen Simonyan and Andrew Zisserman · 2014
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Activitynet: A large-scale video benchmark for human activity understanding
Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, and Juan Carlos Niebles · 2015
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Long-term recurrent convolutional networks for visual recognition and description
Jeffrey Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, and Trevor Darrell · 2015
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Image retrieval using scene graphs
Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David Shamma, Michael Bernstein, and Li Fei-Fei · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Generating semantically precise scene graphs from textual descriptions for improved image retrieval
Sebastian Schuster, Ranjay Krishna, Angel Chang, Li Fei-Fei, and Christopher D Manning · 2015
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Unsupervised learning of video representations using lstms
Nitish Srivastava, Elman Mansimov, and Ruslan Salakhudinov · 2015
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Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
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Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio · 2015
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Spice: Semantic propositional image caption evaluation
Peter Anderson, Basura Fernando, Mark Johnson, and Stephen Gould · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Visual relationship detection with language priors
Cewu Lu, Ranjay Krishna, Michael Bernstein, and Li Fei-Fei · 2016
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Hollywood in homes: Crowdsourcing data collection for activity understanding
Gunnar A Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, and Abhinav Gupta · 2016
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Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
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Detecting visual relationships with deep relational networks
Bo Dai, Yuqi Zhang, and Dahua Lin · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Inferring and executing programs for visual reasoning
Justin Johnson, Bharath Hariharan, Laurens Van Der Maaten, Judy Hoffman, Li Fei-Fei, C Lawrence Zitnick, and Ross Girshick · 2017
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The kinetics human action video dataset
Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, et al · 2017
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Visual genome: Connecting language and vision using crowdsourced dense image annotations
Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A Shamma, et al · 2017
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Scene graph generation from objects, phrases and region captions
Yikang Li, Wanli Ouyang, Bolei Zhou, Kun Wang, and Xiaogang Wang · 2017
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Deep variation-structured reinforcement learning for visual relationship and attribute detection
Xiaodan Liang, Lisa Lee, and Eric P Xing · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Scene graph generation by iterative message passing
Danfei Xu, Yuke Zhu, Christopher B Choy, and Li Fei-Fei · 2017
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
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Learning to compose dynamic tree structures for visual contexts
Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, and Wei Liu · 2019
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Exploring context and visual pattern of relationship for scene graph generation
Wenbin Wang, Ruiping Wang, Shiguang Shan, and Xilin Chen · 2019
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Auto-encoding scene graphs for image captioning
Xu Yang, Kaihua Tang, Hanwang Zhang, and Jianfei Cai · 2019
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Graphical contrastive losses for scene graph parsing
Ji Zhang, Kevin J Shih, Ahmed Elgammal, Andrew Tao, and Bryan Catanzaro · 2019
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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On support relations and semantic scene graphs
Michael Ying Yang, Wentong Liao, Hanno Ackermann, and Bodo Rosenhahn · 2017
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Visual relationship detection with internal and external linguistic knowledge distillation
Ruichi Yu, Ang Li, Vlad I Morariu, and Larry S Davis · 2017
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Bottom-up and top-down attention for image captioning and visual question answering
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Image captioning with scene-graph based semantic concepts
Lizhao Gao, Bo Wang, and Wenmin Wang · 2018
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Detecting and recognizing human-object interactions
Georgia Gkioxari, Ross Girshick, Piotr Dollár, and Kaiming He · 2018
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Image generation from scene graphs
Justin Johnson, Agrim Gupta, and Li Fei-Fei · 2018
Cited alongside, same era.
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Nodis: Neural ordinary differential scene understanding
Yuren Cong, Hanno Ackermann, Wentong Liao, Michael Ying Yang, and Bodo Rosenhahn · 2020
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Image captioning through image transformer
Sen He, Wentong Liao, Hamed R Tavakoli, Michael Yang, Bodo Rosenhahn, and Nicolas Pugeault · 2020
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Lifted disjoint paths with application in multiple object tracking
Andrea Hornakova, Roberto Henschel, Bodo Rosenhahn, and Paul Swoboda · 2020
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Action genome: Actions as compositions of spatio-temporal scene graphs
Jingwei Ji, Ranjay Krishna, Li Fei-Fei, and Juan Carlos Niebles · 2020
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Temporally consistent horizon lines
Florian Kluger, Hanno Ackermann, Michael Ying Yang, and Bodo Rosenhahn · 2020
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The open images dataset v4
Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, et al · 2020
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What does bert with vision look at?
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, and Kai-Wei Chang · 2020
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Gps-net: Graph property sensing network for scene graph generation
Xin Lin, Changxing Ding, Jinquan Zeng, and Dacheng Tao · 2020
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Vl-bert: Pre-training of generic visual-linguistic representations
Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, and Jifeng Dai · 2020
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Training data-efficient image transformers & distillation through attention
Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, and Hervé Jégou · 2020
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End-to-end video instance segmentation with transformers
Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, and Huaxia Xia · 2020
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Bert representations for video question answering
Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, and Haruo Takemura · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2021
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Context-aware layout to image generation with enhanced object appearance
Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, and Tao Xiang · 2021
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Pose refinement graph convolutional network for skeleton-based action recognition
Shijie Li, Jinhui Yi, Yazan Abu Farha, and Juergen Gall · 2021
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Target-tailored source-transformation for scene graph generation
Wentong Liao, Cuiling Lan, Michael Ying Yang, Wenjun Zeng, and Bodo Rosenhahn · 2021
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