Towards Viewpoint Invariant 3D Human Pose Estimation

By Albert Haque, Boya Peng, Zelun Luo, Alexandre Alahi, Serena Yeung, Li Fei-Fei. 2016

176 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Ming-Hsuan Yang
3. Kyoung Mu Lee
4. Li Fei-Fei
5. Jitendra Malik
6. Dacheng Tao
7. Chen Change Loy
8. Xiaogang Wang

Citations in the corpus

• Unsupervised Learning of Long-Term Motion Dynamics for Videos (2017, background): “Skeleton-based approaches such as [5, 22, 35, 39, 50] move beyond such sparse grid-like pooling and focus on how to propose good skeletal representations.”
• PifPaf: Composite Fields for Human Pose Estimation (2019, background): “, corrections) at each iteration [4, 17] or using a human pose refinement network to exploit dependencies between input and output spaces [13].”
• V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map (2017, methodology): “We compared the system with state-of-the-art works, which include RTW [56], viewpoint-invariant feature-based method [15], and REN-9x6x6 [13].”