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3D visual grounding is the ability to localize objects in 3D scenes conditioned by utterances.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu · 1910
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Language Models are Few-Shot Learners, July 2020
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2005
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Conducting the train of thought: working memory capacity, goal neglect, and mind wandering in an executive-control task
Jennifer C McVay and Michael J Kane · 2009
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Amazon mechanical turk: A research tool for organizations and information systems scholars
Kevin Crowston · 2012
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, 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 neural dependency parsing
Yong Jiang, Wenjuan Han, and Kewei Tu · 2016
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A unified model of human semantic knowledge and its disorders
Lang Chen, Matthew A Lambon Ralph, and Timothy T Rogers · 2017
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End-to-end learning of semantic grasping
Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, and Sergey Levine · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Scene graph generation by iterative message passing, 2017
Danfei Xu, Yuke Zhu, Christopher B. Choy, and Li Fei-Fei · 2017
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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 generation from scene graphs, 2018
Justin Johnson, Agrim Gupta, and Li Fei-Fei · 2018
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Virtualhome: Simulating household activities via programs
Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler, and Antonio Torralba · 2018
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Graph attention networks, 2018
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio · 2018
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Graph r-cnn for scene graph generation, 2018
Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, and Devi Parikh · 2018
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Edge assisted real-time object detection for mobile augmented reality
Luyang Liu, Hongyu Li, and Marco Gruteser · 2019
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Vision-based navigation with language-based assistance via imitation learning with indirect intervention
Khanh Nguyen, Debadeepta Dey, Chris Brockett, and Bill Dolan · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych · 2019
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Dynamic graph cnn for learning on point clouds, 2019
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, and Justin M. Solomon · 2019
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Embodied question answering in photorealistic environments with point cloud perception
Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, and Dhruv Batra · 2019
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Unified visual-semantic embeddings: Bridging vision and language with structured meaning representations
Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, and Wei-Ying Ma · 2019
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Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes
Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, Mohamed Elhoseiny, and Leonidas Guibas · 2020
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Scanrefer: 3d object localization in rgb-d scans using natural language
Dave Zhenyu Chen, Angel X Chang, and Matthias Nießner · 2020
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Social cognition in the real world: reconnecting the study of social cognition with social reality
Katherine Osborne-Crowley · 2020
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Deep learning-based smart task assistance in wearable augmented reality
Kyeong-Beom Park, Minseok Kim, Sung Ho Choi, and Jae Yeol Lee · 2020
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Multi-view transformer for 3d visual grounding
Shijia Huang, Yilun Chen, Jiaya Jia, and Liwei Wang · 2022
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Hierarchical reinforcement learning: A survey and open research challenges
Matthias Hutsebaut-Buysse, Kevin Mets, and Steven Latré · 2022
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Bottom up top down detection transformers for language grounding in images and point clouds
Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, and Katerina Fragkiadaki · 2022
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Voila: Visual-observation-only imitation learning for autonomous navigation
Haresh Karnan, Garrett Warnell, Xuesu Xiao, and Peter Stone · 2022
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Unsupervised vision-language parsing: Seamlessly bridging visual scene graphs with language structures via dependency relationships, 2022
Chao Lou, Wenjuan Han, Yuhuan Lin, and Zilong Zheng · 2022
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Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data
Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, and Marco Pavone · 2020
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Deep learning for image and point cloud fusion in autonomous driving: A review
Yaodong Cui, Ren Chen, Wenbo Chu, Long Chen, Daxin Tian, Ying Li, and Dongpu Cao · 2021
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Parrot: Paraphrase generation for nlu., 2021
Prithiviraj Damodaran · 2021
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Transvg: End-to-end visual grounding with transformers
Jiajun Deng, Zhengyuan Yang, Tianlang Chen, Wengang Zhou, and Houqiang Li · 2021
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Free-form description guided 3d visual graph network for object grounding in point cloud
Mingtao Feng, Zhen Li, Qi Li, Liang Zhang, XiangDong Zhang, Guangming Zhu, Hui Zhang, Yaonan Wang, and Ajmal Mian · 2021
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Transrefer3d: Entity-and-relation aware transformer for fine-grained 3d visual grounding
Dailan He, Yusheng Zhao, Junyu Luo, Tianrui Hui, Shaofei Huang, Aixi Zhang, and Si Liu · 2021
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Text-guided graph neural networks for referring 3d instance segmentation
Pin-Hao Huang, Han-Hung Lee, Hwann-Tzong Chen, and Tyng-Luh Liu · 2021
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3d-sps: Single-stage 3d visual grounding via referred point progressive selection
Junyu Luo, Jiahui Fu, Xianghao Kong, Chen Gao, Haibing Ren, Hao Shen, Huaxia Xia, and Si Liu · 2022
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Text and patterns: For effective chain of thought, it takes two to tango
Aman Madaan and Amir Yazdanbakhsh · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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3d object detection for autonomous driving: a survey
Rui Qian, Xin Lai, and Xirong Li · 2022
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Languagerefer: Spatial-language model for 3d visual grounding
Junha Roh, Karthik Desingh, Ali Farhadi, and Dieter Fox · 2022
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, and Denny Zhou · 2022
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Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Chi, Quoc Le, and Denny Zhou · 2022
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Eda: Explicit text-decoupling and dense alignment for 3d visual and language learning
Yanmin Wu, Xinhua Cheng, Renrui Zhang, Zesen Cheng, and Jian Zhang · 2022
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Chain of thought imitation with procedure cloning
Mengjiao Sherry Yang, Dale Schuurmans, Pieter Abbeel, and Ofir Nachum · 2022
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Toward explainable and fine-grained 3d grounding through referring textual phrases
Zhihao Yuan, Xu Yan, Zhuo Li, Xuhao Li, Yao Guo, Shuguang Cui, and Zhen Li · 2022
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Training-free structured diffusion guidance for compositional text-to-image synthesis, 2023
Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, and William Yang Wang · 2023
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Ns3d: Neuro-symbolic grounding of 3d objects and relations
Joy Hsu, Jiayuan Mao, and Jiajun Wu · 2023
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Chain-of-thought predictive control
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Faithful chain-of-thought reasoning
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Multimodal chain-of-thought reasoning in language models
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A Survey of Large Language Models, 2023
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, and Ji-Rong Wen · 2023
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