Search Results for author: QIUJING LU

Found 5 papers, 1 papers with code

Action-conditioned On-demand Motion Generation

1 code implementation17 Jul 2022 QIUJING LU, YiPeng Zhang, Mingjian Lu, Vwani Roychowdhury

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 additional capability of customization.

Contrastive Learning Human action generation

Diverse Imitation Learning via Self-OrganizingGenerative Models

no code implementations29 Sep 2021 Arash Vahabpour, QIUJING LU, Tianyi Wang, Omead Pooladzandi, Vwani Roychowhury

To address this problem, we introduce a novel generative model for behavior cloning, in a mode-separating manner.

Imitation Learning

Diverse Imitation Learning via Self-Organizing Generative Models

no code implementations6 May 2022 Arash Vahabpour, Tianyi Wang, QIUJING LU, Omead Pooladzandi, Vwani Roychowdhury

Imitation learning is the task of replicating expert policy from demonstrations, without access to a reward function.

Imitation Learning

Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems

no code implementations20 Mar 2024 Ruoxuan Bai, Jingxuan Yang, Weiduo Gong, Yi Zhang, QIUJING LU, Shuo Feng

The complexity of predicting criticality arises from the extreme data imbalance caused by rare events in high dimensional variables associated with the rare events, a challenge we refer to as the curse of rarity.

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