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cs.CV2022
Action-conditioned On-demand Motion Generation
Qiujing Lu, Yipeng Zhang, Mingjian Lu +1
We propose a novel framework, On-Demand MOtion Generation (ODMO), for generating realistic and diverse long-term 3D human motion sequences conditioned only on action types with an…
cs.CV2022
KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction
Qiujing Lu, Weiqiao Han, Jeffrey Ling +4
Predicting future trajectories of road agents is a critical task for autonomous driving. Recent goal-based trajectory prediction methods, such as DenseTNT and PECNet, have shown go…