15 citations · 15 across the 5 of their papers we have counts for
5 papers · 1 filter
Parse Graph-Based Visual-Language Interaction for Human Pose Estimation
Shibang Liu, Xuemei Xie, Guangming Shi
Parse graphs boost human pose estimation (HPE) by integrating context and hierarchies, yet prior work mostly focuses on single modality modeling, ignoring the potential of multimod…
KB-DMGen: Knowledge-Based Global Guidance and Dynamic Pose Masking for Human Image Generation
Shibang Liu, Xuemei Xie, Guangming Shi
Recent methods using diffusion models have made significant progress in Human Image Generation (HIG) with various control signals such as pose priors. In HIG, both accurate human p…
Learning Pyramid-structured Long-range Dependencies for 3D Human Pose Estimation
Mingjie Wei, Xuemei Xie, Yutong Zhong +1
Action coordination in human structure is indispensable for the spatial constraints of 2D joints to recover 3D pose. Usually, action coordination is represented as a long-range dep…
ACMo: Attribute Controllable Motion Generation
Mingjie Wei, Xuemei Xie, Guangming Shi
Attributes such as style, fine-grained text, and trajectory are specific conditions for describing motion. However, existing methods often lack precise user control over motion att…
Learning Primitive-aware Discriminative Representations for Few-shot Learning
Jianpeng Yang, Yuhang Niu, Xuemei Xie +1
Few-shot learning (FSL) aims to learn a classifier that can be easily adapted to recognize novel classes with only a few labeled examples. Some recent work about FSL has yielded pr…