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