1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2026
HINT: Hierarchical Interaction Modeling for Autoregressive Multi-Human Motion Generation
Mengge Liu, Yan Di, Gu Wang +4
Text-driven multi-human motion generation with complex interactions remains a challenging problem. Despite progress in performance, existing offline methods that generate fixed-len…
cs.CV2023★ 1 cited
IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction
Dekai Zhu, Guangyao Zhai, Yan Di +6
Reliable multi-agent trajectory prediction is crucial for the safe planning and control of autonomous systems. Compared with single-agent cases, the major challenge in simultaneous…
cs.RO2023
Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information
Dekai Zhu, Qadeer Khan, Daniel Cremers
Traditional approaches to prediction of future trajectory of road agents rely on knowing information about their past trajectory. This work rather relies only on having knowledge o…