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20242026
most citedMotion In-Betweening for Densely Interacting Characters

1 citations · 1 across the 8 of their papers we have counts for

collaborators

12 papers

cs.GR2026

Physics-Based Motion Tracking of Contact-Rich Interacting Characters

Xiaotang Zhang, Ziyi Chang, Qianhui Men +1

Motion tracking has been an important technique for imitating human-like movement from large-scale datasets in physics-based motion synthesis. However, existing approaches focus on…

cs.CV2026

ART: Adaptive Relational Transformer for Pedestrian Trajectory Prediction with Temporal-Aware Relations

Ruochen Li, Ziyi Chang, Junyan Hu +3

Accurate prediction of real-world pedestrian trajectories is crucial for a wide range of robot-related applications. Recent approaches typically adopt graph-based or transformer-ba…

cs.CV2026

Investigating Permutation-Invariant Discrete Representation Learning for Spatially Aligned Images

Jamie S. J. Stirling, Noura Al-Moubayed, Hubert P. H. Shum

Vector quantization approaches (VQ-VAE, VQ-GAN) learn discrete neural representations of images, but these representations are inherently position-dependent: codes are spatially ar…

cs.CV2025

CaFlow: Enhancing Long-Term Action Quality Assessment with Causal Counterfactual Flow

Ruisheng Han, Kanglei Zhou, Shuang Chen +2

Action Quality Assessment (AQA) predicts fine-grained execution scores from action videos and is widely applied in sports, rehabilitation, and skill evaluation. Long-term AQA, as i…

cs.CV2025

Continual Action Quality Assessment via Adaptive Manifold-Aligned Graph Regularization

Kanglei Zhou, Qingyi Pan, Xingxing Zhang +4

Action Quality Assessment (AQA) quantifies human actions in videos, supporting applications in sports scoring, rehabilitation, and skill evaluation. A major challenge lies in the n…

cs.GR20251 cited

Motion In-Betweening for Densely Interacting Characters

Xiaotang Zhang, Ziyi Chang, Qianhui Men +1

Motion in-betweening is the problem to synthesize movement between keyposes. Traditional research focused primarily on single characters. Extending them to densely interacting char…