collaborators

7 papers

cs.CV2026

CoDS: Robust Collaborative Perception via Expert-driven Detection and BEV Segmentation

Jinlong Wang, Yuang Jia, Junhong Lin +2

Collaborative perception breaks through single-view limitations via multi-agent information exchange. However, multi-source noise such as pose errors and communication delays degra…

cs.CV2026

Visual Geometry Foundation-Aware Gaussians for Single-Frame Surround-View Driving Reconstruction

Junhong Lin, Jinlong Wang, Xianda Guo +6

Single-frame surround-view reconstruction faces severe geometric instability and rendering artifacts due to minimal inter-camera overlap. While existing methods rely on complex dec…

cs.CV2026

SpatialQ: Understanding 3D Gaussian Splatting Scene Quality via Visual-based MLLM

Jingxuan Su, Shenglin Wang, Tiesong Zhao +2

3D Gaussian Splatting (3DGS) has emerged as an effective representation for novel view synthesis and 3D scene reconstruction, creating an increasing demand for reliable quality ass…

cs.CV2026

VGOcc: Learning Visual-Geometric Gaussians for Vision-Centric 3D Driving Occupancy Prediction

Junhong Lin, Xianda Guo, Kangli Wang +4

Vision-only occupancy prediction requires recovering a semantic 3D occupancy field from calibrated surround-view images, where each view provides observations with ambiguous depth…

cs.CV2026

CoSAG: Compact Semantic Anchor Gaussians via Training-Free Rate-Distortion Coding

Yuang Jia, Jinlong Wang, Junhong Lin +2

Open-vocabulary 3D scene understanding is commonly achieved by embedding 2D vision-language features such as CLIP into a 3D Gaussian Splatting scene, turning it into a text-queryab…

cs.CV2025

DriveExplorer: Images-Only Decoupled 4D Reconstruction with Progressive Restoration for Driving View Extrapolation

Yuang Jia, Jinlong Wang, Jiayi Zhao +3

This paper presents an effective solution for view extrapolation in autonomous driving scenarios. Recent approaches focus on generating shifted novel view images from given viewpoi…