Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
Ionescu, Catalin, Papava, Dragos, Olaru, Vlad, Sminchisescu, Cristian·2014·IEEE Transactions on Pattern Analysis and Machine Intelligence
Cited by (1,010)
Items 401–500 of 1,010
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- Multistage Adversarial Losses for Pose-Based Human Image SynthesisChenyang Si, Wei Wang, Liang Wang, Tieniu Tan · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Compositional Human Pose RegressionShuang Liang, Xiao Na Sun, Yichen Wei · 2018 · Computer Vision and Image Understanding
- Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and SynthesisGilwoo Lee, Zhiwei Deng, Shugao Ma, Takaaki Shiratori, Siddhartha S Srinivasa, Yaser Ajmal Sheikh · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
- PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose EstimationAbdallah Benzine, Florian Chabot, Bertrand Luvison, Quoc Cuong Pham, Catherine Achard · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Unsupervised Learning of Object Structure and Dynamics from VideosMatthias Minderer, Chen Sun, Ruben Villegas, Forrester H. Cole, Kevin P. Murphy, Honglak Lee · 2019 · arXiv (Cornell University)
- FuturePose - Mixed Reality Martial Arts Training Using Real-Time 3D Human Pose Forecasting With a RGB CameraErwin Wu, Hideki Koike · 2019 · IEEE Winter Conference on Applications of Computer Vision
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- A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder∗Yu-Jun Cai, Yiwei Wang, Yi-Heng Zhu, Tat-Jen Cham, Jian-Fei Cai, Jun-Song Yuan, Jun Liu, Chuanxia Zheng, Si-Jie Yan, Henghui Ding et al. · 2021 · IEEE International Conference on Computer Vision
- AI-Generated Content (AIGC) for Various Data Modalities: A SurveyLin Geng Foo, Hossein Rahmani, Jun Liu · 2025 · ACM Computing Surveys
- Multi-Person Hierarchical 3D Pose Estimation in Natural VideosRenshu Gu, Gaoang Wang, Zhongyu Jiang, Jenq–Neng Hwang · 2019 · IEEE Transactions on Circuits and Systems for Video Technology
- Regressive Domain Adaptation for Unsupervised Keypoint DetectionJunguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose EstimationWenkang Shan, Haopeng Lu, Shanshe Wang, Xinfeng Zhang, Wen Gao · 2021 · ACM International Conference on Multimedia (ACM MM)
- Skeleton Graph-Neural-Network-Based Human Action Recognition: A SurveyMiao Feng, Jean Meunier · 2022 · Sensors
- A Survey of Human Action Recognition and Posture PredictionNan Ma, Zhixuan Wu, Yiu‐ming Cheung, Yuchen Guo, Yue Gao, Jiahong Li, Beijyan Jiang · 2022 · Tsinghua Science & Technology
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- AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the WildJoska, Daniel, Clark, Liam, Muramatsu, Naoya, Jericevich, Ricardo, Nicolls, Fred, Mathis, Alexander, Mathis, Mackenzie W., Patel, Amir · 2021 · 2021 IEEE International Conference on Robotics and Automation (ICRA)
- Multiview-Consistent Semi-Supervised Learning for 3D Human Pose EstimationRahul Mitra, Nitesh B. Gundavarapu, Abhishek Sharma, Arjun Jain · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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- AnimePose: Multi-person 3D pose estimation and animationLaxman Kumarapu, Prerana Mukherjee · 2021 · Pattern Recognition Letters
- Locally Connected Network for Monocular 3D Human Pose EstimationHai Ci, Xiaoxuan Ma, Chunyu Wang, Yizhou Wang · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
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