Baoxiong Jia* — accepted AI-conference papers

2024

SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding

Baoxiong Jia*, Yixin Chen, Huangyue Yu, Yan Wang, Xuesong Niu, Tengyu Liu +2

ECCV 2024poster

"3D vision-language (3dvl) grounding, which aims to align language with 3D physical environments, stands as a cornerstone in developing embodied agents. In comparison to recent advancements in the 2D domain, grounding language in 3D scenes faces two significant challenges: (i) the scarcity of paired…

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2024

SlotLifter: Slot-guided Feature Lifting for Learning Object-Centric Radiance Fields

Yu Liu, Baoxiong Jia*, Yixin Chen, Siyuan Huang

ECCV 2024poster

"The ability to distill object-centric abstractions from intricate visual scenes underpins human-level generalization. Despite the significant progress in object-centric learning methods, learning object-centric representations in the 3D physical world remains a crucial challenge. In this work, we p…

Cited by 3 Source ↗PDF ↗Scholar ↗