5 papers · 1 filter
CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval
Hao Wu, Jinjing Zhu, Nanyu Wu +4
Edit-conditioned 3D scene retrieval pairs a reference 3D room with a natural-language modification and retrieves rooms from a corpus that satisfy the edit. Three lines of prior wor…
WaMo: Wavelet-Enhanced Multi-Frequency Trajectory Analysis for Fine-Grained Text-Motion Retrieval
Junlong Ren, Gangjian Zhang, Honghao Fu +2
Text-Motion Retrieval (TMR) aims to retrieve 3D motion sequences semantically relevant to text descriptions. However, matching 3D motions with text remains highly challenging, prim…
Enhanced Cross-modal 3D Retrieval via Tri-modal Reconstruction
Junlong Ren, Hao Wang
Cross-modal 3D retrieval is a critical yet challenging task, aiming to achieve bi-directional retrieval between 3D and text modalities. Current methods predominantly rely on a cert…
SCA3D: Enhancing Cross-modal 3D Retrieval via 3D Shape and Caption Paired Data Augmentation
Junlong Ren, Hao Wu, Hui Xiong +1
The cross-modal 3D retrieval task aims to achieve mutual matching between text descriptions and 3D shapes. This has the potential to enhance the interaction between natural languag…
Diversified Augmentation with Domain Adaptation for Debiased Video Temporal Grounding
Junlong Ren, Gangjian Zhang, Haifeng Sun +1
Temporal sentence grounding in videos (TSGV) faces challenges due to public TSGV datasets containing significant temporal biases, which are attributed to the uneven temporal distri…