collaborators

5 papers

cs.CV2026

A DVDrive Approach for doScenes Instructed Driving Challenge

Zijian Fu, Xiangyang Chu, Mengshi Qi +3

Instruction-conditioned trajectory prediction is an emerging problem in autonomous driving, where a model predicts the future ego trajectory not only from visual scene context and…

cs.CV2026

SGFormer++: Semantic Graph Transformer for Incremental 3D Scene Graph Generation

Mengshi Qi, Changsheng Lv, Zijian Fu +2

In this paper, we propose SGFormer++, a novel Semantic Graph Transformer for 3D scene graph generation (SGG), which aims to parse point cloud scenes into semantic structural graphs…

cs.CV2026

Breaking Spatial Uniformity: Prior-Guided Mamba with Radial Serialization for Lens Flare Removal

Zijia Fu, Yuanfei Huang, Lizhi Wang +1

Lens flares, caused by complex optical aberrations, severely degrade image quality especially in nighttime photography. Although recent restoration methods have made remarkable pro…

cs.CV2025

Robo-SGG: Exploiting Layout-Oriented Normalization and Restitution Can Improve Robust Scene Graph Generation

Changsheng Lv, Zijian Fu, Mengshi Qi

In this paper, we propose Robo-SGG, a plug-and-play module for robust scene graph generation (SGG). Unlike standard SGG, the robust scene graph generation aims to perform inference…

cs.AI2025

Multi-Modal Scene Graph with Kolmogorov-Arnold Experts for Audio-Visual Question Answering

Zijian Fu, Changsheng Lv, Mengshi Qi +2

In this paper, we propose a novel Multi-Modal Scene Graph with Kolmogorov-Arnold Expert Network for Audio-Visual Question Answering (SHRIKE). The task aims to mimic human reasoning…