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The analysis of the ubiquitous human-human interactions is pivotal for understanding humans as social beings.
The five-factor model of personality: Theoretical perspectives
Jerry S Wiggins · 1996
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
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A contemplated revision of the neo five-factor inventory
Robert R McCrae and Paul T Costa Jr · 2004
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A discriminative key pose sequence model for recognizing human interactions
Arash Vahdat, Bo Gao, Mani Ranjbar, and Greg Mori · 2011
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Umpm benchmark: A multi-person dataset with synchronized video and motion capture data for evaluation of articulated human motion and interaction
NP Van der Aa, Xinghan Luo, Geert-Jan Giezeman, Robby T Tan, and Remco C Veltkamp · 2011
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Two-person interaction detection using body-pose features and multiple instance learning
Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, Tamara L Berg, and Dimitris Samaras · 2012
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Interactive body part contrast mining for human interaction recognition
Yanli Ji, Guo Ye, and Hong Cheng · 2014
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A survey of personality computing
Alessandro Vinciarelli and Gelareh Mohammadi · 2014
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Cider: Consensus-based image description evaluation
Ramakrishna Vedantam, C Lawrence Zitnick, and Devi Parikh · 2015
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Perform: Perceptual approach for adding ocean personality to human motion using laban movement analysis
Funda Durupinar, Mubbasir Kapadia, Susan Deutsch, Michael Neff, and Norman I Badler · 2016
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The kit motion-language dataset
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Multimodal machine learning: A survey and taxonomy
Tadas Baltrušaitis, Chaitanya Ahuja, and Louis-Philippe Morency · 2018
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Learning to detect and track visible and occluded body joints in a virtual world
Matteo Fabbri, Fabio Lanzi, Simone Calderara, Andrea Palazzi, Roberto Vezzani, and Rita Cucchiara · 2018
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A large-scale rgb-d database for arbitrary-view human action recognition
Yanli Ji, Feixiang Xu, Yang Yang, Fumin Shen, Heng Tao Shen, and Wei-Shi Zheng · 2018
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Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2018
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A survey on gait recognition
Changsheng Wan, Li Wang, and Vir V Phoha · 2018
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Paired recurrent autoencoders for bidirectional translation between robot actions and linguistic descriptions
Tatsuro Yamada, Hiroyuki Matsunaga, and Tetsuya Ogata · 2018
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Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
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Language2pose: Natural language grounded pose forecasting
Chaitanya Ahuja and Louis-Philippe Morency · 2019
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From emotions to mood disorders: A survey on gait analysis methodology
Fani Deligianni, Yao Guo, and Guang-Zhong Yang · 2019
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Deep multimodal representation learning: A survey
Wenzhong Guo, Jianwen Wang, and Shiping Wang · 2019
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Resolving 3d human pose ambiguities with 3d scene constraints
Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, and Michael J Black · 2019
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Dancing to music
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, and Jan Kautz · 2019
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Ntu rgb+ d 120: A large-scale benchmark for 3d human activity understanding
Jun Liu, Amir Shahroudy, Mauricio Perez, Gang Wang, Ling-Yu Duan, and Alex C Kot · 2019
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Expressive body capture: 3d hands, face, and body from a single image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed AA Osman, Dimitrios Tzionas, and Michael J Black · 2019
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The virtual caliper: Rapid creation of metrically accurate avatars from 3d measurements
Sergi Pujades, Betty Mohler, Anne Thaler, Joachim Tesch, Naureen Mahmood, Nikolas Hesse, Heinrich H Bülthoff, and Michael J Black · 2019
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Two-stream adaptive graph convolutional networks for skeleton-based action recognition
Lei Shi, Yifan Zhang, Jian Cheng, and Hanqing Lu · 2019
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi · 2019
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On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
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Unpaired motion style transfer from video to animation
Kfir Aberman, Yijia Weng, Dani Lischinski, Daniel Cohen-Or, and Baoquan Chen · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Motion puzzle: Arbitrary motion style transfer by body part
Deok-Kyeong Jang, Soomin Park, and Sung-Hee Lee · 2022
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Flame: Free-form language-based motion synthesis & editing
Jihoon Kim, Jiseob Kim, and Sungjoon Choi · 2022
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Danceformer: Music conditioned 3d dance generation with parametric motion transformer
Buyu Li, Yongchi Zhao, Shi Zhelun, and Lu Sheng · 2022
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Igformer: Interaction graph transformer for skeleton-based human interaction recognition
Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, and Jun Liu · 2022
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TEMOS: Generating diverse human motions from textual descriptions
Mathis Petrovich, Michael J. Black, and Gül Varol · 2022
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Decoupling gcn with dropgraph module for skeleton-based action recognition
Ke Cheng, Yifan Zhang, Congqi Cao, Lei Shi, Jian Cheng, and Hanqing Lu · 2020
Cited alongside, same era.
Three-dimensional reconstruction of human interactions
Mihai Fieraru, Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Vlad Olaru, and Cristian Sminchisescu · 2020
Cited alongside, same era.
Action2motion: Conditioned generation of 3d human motions
Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, and Li Cheng · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Disentangling and unifying graph convolutions for skeleton-based action recognition
Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, and Wanli Ouyang · 2020
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You2me: Inferring body pose in egocentric video via first and second person interactions
Evonne Ng, Donglai Xiang, Hanbyul Joo, and Kristen Grauman · 2020
Cited alongside, same era.
Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
Cited alongside, same era.
Alireza Sepas-Moghaddam and Ali Etemad · 2022
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Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, and Amit H Bermano · 2022
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HUMANISE: Language-conditioned human motion generation in 3d scenes
Zan Wang, Yixin Chen, Tengyu Liu, Yixin Zhu, Wei Liang, and Siyuan Huang · 2022
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Skeleton-based mutually assisted interacted object localization and human action recognition
Liang Xu, Cuiling Lan, Wenjun Zeng, and Cewu Lu · 2022
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Gesturediffuclip: Gesture diffusion model with clip latents
Tenglong Ao, Zeyi Zhang, and Libin Liu · 2023
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Circle: Capture in rich contextual environments
Joao Pedro Araújo, Jiaman Li, Karthik Vetrivel, Rishi Agarwal, Jiajun Wu, Deepak Gopinath, Alexander William Clegg, and Karen Liu · 2023
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Make-an-animation: Large-scale text-conditional 3d human motion generation
Samaneh Azadi, Akbar Shah, Thomas Hayes, Devi Parikh, and Sonal Gupta · 2023
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Bedlam: A synthetic dataset of bodies exhibiting detailed lifelike animated motion
Michael J Black, Priyanka Patel, Joachim Tesch, and Jinlong Yang · 2023
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Interaction transformer for human reaction generation
Baptiste Chopin, Hao Tang, Naima Otberdout, Mohamed Daoudi, and Nicu Sebe · 2023
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Avatars grow legs: Generating smooth human motion from sparse tracking inputs with diffusion model
Yuming Du, Robin Kips, Albert Pumarola, Sebastian Starke, Ali Thabet, and Artsiom Sanakoyeu · 2023
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c: Towards skeleton-based action recognition in the wild
Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, and Alessandro Bergamo · 2023
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Unified pose sequence modeling
Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, and Jun Liu · 2023
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Remos: Reactive 3d motion synthesis for two-person interactions
Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik, Christian Theobalt, and Philipp Slusallek · 2023
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Motiongpt: Human motion as a foreign language
Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, and Tao Chen · 2023
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Action-gpt: Leveraging large-scale language models for improved and generalized action generation
Sai Shashank Kalakonda, Shubh Maheshwari, and Ravi Kiran Sarvadevabhatla · 2023
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Intergen: Diffusion-based multi-human motion generation under complex interactions
Han Liang, Wenqian Zhang, Wenxuan Li, Jingyi Yu, and Lan Xu · 2023
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Motion-x: A large-scale 3d expressive whole-body human motion dataset
Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, and Lei Zhang · 2023
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Yunze Liu, Changxi Chen, and Li Yi · 2023
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Humantomato: Text-aligned whole-body motion generation
Shunlin Lu, Ling-Hao Chen, Ailing Zeng, Jing Lin, Ruimao Zhang, Lei Zhang, and Heung-Yeung Shum · 2023
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Human motion diffusion as a generative prior
Yonatan Shafir, Guy Tevet, Roy Kapon, and Amit H Bermano · 2023
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Role-aware interaction generation from textual description
Mikihiro Tanaka and Kent Fujiwara · 2023
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Flag3d: A 3d fitness activity dataset with language instruction
Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, and Xiu Li · 2023
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Hi4d: 4d instance segmentation of close human interaction
Yifei Yin, Chen Guo, Manuel Kaufmann, Juan Jose Zarate, Jie Song, and Otmar Hilliges · 2023
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Learning discriminative representations for skeleton based action recognition
Huanyu Zhou, Qingjie Liu, and Yunhong Wang · 2023
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