3 citations · 7 across the 7 of their papers we have counts for
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cs.CV2023★ 1 cited
Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty
Cheng-Fu Yang, Haoyang Xu, Te-Lin Wu +3
Task planning for embodied AI has been one of the most challenging problems where the community does not meet a consensus in terms of formulation. In this paper, we aim to tackle t…
cs.CL2023★ 1 cited
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following
Cheng-Fu Yang, Yen-Chun Chen, Jianwei Yang +4
End-to-end Transformers have demonstrated an impressive success rate for Embodied Instruction Following when the environment has been seen in training. However, they tend to strugg…