collaborators

7 papers

cs.CV2026

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…

cs.AI2026

VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for Minecraft

Honghao Fu, Junlong Ren, Qi Chai +3

Large language models (LLMs) have shown significant promise in embodied decision-making tasks within virtual open-world environments. Nonetheless, their performance is hindered by…

cs.AI2025

CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks

Qi Chai, Zhang Zheng, Junlong Ren +3

Minecraft, as an open-world virtual interactive environment, has become a prominent platform for research on agent decision-making and execution. Existing works primarily adopt a s…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…