Open-world driving scene segmentation via multi-stage and multi-modality fusion of vision-language embedding. - Yingjie Niu; Ming Ding 002; Yuxiao Zhang; Maoning Ge; Hanting Yang; Kazuya Takeda (IV, 2023)

Synthesizing Realistic Snow Effects in Driving Images Using GANs and Real Data with Semantic Guidance. - Hanting Yang; Ming Ding 002; Alexander Carballo; Yuxiao Zhang; Kento Ohtani; Yingjie Niu; Maoning Ge; Yan Feng; Kazuya Takeda (IV, 2023)

LiDAR Point Cloud Translation Between Snow and Clear Conditions Using Depth Images and GANs. - Yuxiao Zhang; Ming Ding 002; Hanting Yang; Yingjie Niu; Yan Feng; Maoning Ge; Alexander Carballo; Kazuya Takeda (IV, 2023)

R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut. - Yingjie Niu; Ming Ding 002; Maoning Ge; Robin Karlsson; Yuxiao Zhang; Kazuya Takeda (CoRR, 2023)

Bilateral U-Net semantic segmentation with spatial attention mechanism. - Guangzhe Zhao; Yimeng Zhang; Maoning Ge; Min Yu 004 (CAAI Trans. Intell. Technol., 2023)

R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut. - Yingjie Niu; Ming Ding 002; Maoning Ge; Robin Karlsson; Yuxiao Zhang; Alexander Carballo; Kazuya Takeda (Sensors, 2024)

LiDAR Point Cloud Augmentation for Adverse Conditions Using Conditional Generative Model. - Yuxiao Zhang; Ming Ding 002; Hanting Yang; Yingjie Niu; Maoning Ge; Kento Ohtani; Chi Zhang; Kazuya Takeda (Remote. Sens., 2024)