activity
20232026
most citedWeakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling

1 citations · 2 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CL2026

EGCForest: Structured Agent Memory Organization for Enterprise Group Chats

Lingxi Cui, Jinhao Ruan, Wenqing Wei +4

Enterprise group chats record project progress, decisions, task ownership, and other organizational information valuable to enterprise agents. Reliable retrieval is challenging bec…

cs.CV2026

GSStream: 3D Gaussian Splatting based Volumetric Scene Streaming System

Zhiye Tang, Qiudan Zhang, Lei Zhang +3

Recently, the 3D Gaussian splatting (3DGS) technique for real-time radiance field rendering has revolutionized the field of volumetric scene representation, providing users with an…

cs.CV2026

ProGS: Towards Progressive Coding for 3D Gaussian Splatting

Zhiye Tang, Lingzhuo Liu, Shengjie Jiao +4

Progressive transmission of 3D Gaussian Splatting (3DGS) requires each completed transmission stage to be decodable from received data and directly renderable. This work presents P…

cs.CV2025

DBGroup: Dual-Branch Point Grouping for Weakly Supervised 3D Semantic Instance Segmentation

Xuexun Liu, Xiaoxu Xu, Qiudan Zhang +2

Weakly supervised 3D instance segmentation is essential for 3D scene understanding, especially as the growing scale of data and high annotation costs associated with fully supervis…

cs.CV2025

3D Weakly Supervised Semantic Segmentation via Class-Aware and Geometry-Guided Pseudo-Label Refinement

Xiaoxu Xu, Xuexun Liu, Jinlong Li +5

3D weakly supervised semantic segmentation (3D WSSS) aims to achieve semantic segmentation by leveraging sparse or low-cost annotated data, significantly reducing reliance on dense…

cs.CV2024

LESS: Label-Efficient and Single-Stage Referring 3D Segmentation

Xuexun Liu, Xiaoxu Xu, Jinlong Li +4

Referring 3D Segmentation is a visual-language task that segments all points of the specified object from a 3D point cloud described by a sentence of query. Previous works perform…

cs.CV2024★ 1 cited

3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance

Xiaoxu Xu, Yitian Yuan, Jinlong Li +6

In this paper, we propose 3DSS-VLG, a weakly supervised approach for 3D Semantic Segmentation with 2D Vision-Language Guidance, an alternative approach that a 3D model predicts den…

cs.CV2024★ 1 cited

Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling

Xu Wang, Yifan Li, Qiudan Zhang +3

Learning to build 3D scene graphs is essential for real-world perception in a structured and rich fashion. However, previous 3D scene graph generation methods utilize a fully super…

cs.CV2023

Weakly-Supervised 3D Visual Grounding based on Visual Language Alignment

Xiaoxu Xu, Yitian Yuan, Qiudan Zhang +4

Learning to ground natural language queries to target objects or regions in 3D point clouds is quite essential for 3D scene understanding. Nevertheless, existing 3D visual groundin…