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cs.CV2025

Reasoning-VLA: A Fast and General Vision-Language-Action Reasoning Model for Autonomous Driving

Dapeng Zhang, Zhenlong Yuan, Zhangquan Chen +5

Vision-Language-Action (VLA) models have recently shown strong decision-making capabilities in autonomous driving. However, existing VLAs often struggle with achieving efficient in…

cs.CV2025

Video-STAR: Reinforcing Open-Vocabulary Action Recognition with Tools

Zhenlong Yuan, Xiangyan Qu, Chengxuan Qian +8

Multimodal large language models (MLLMs) have demonstrated remarkable potential in bridging visual and textual reasoning, yet their reliance on text-centric priors often limits the…

cs.CV2025

DVP-MVS++: Synergize Depth-Normal-Edge and Harmonized Visibility Prior for Multi-View Stereo

Zhenlong Yuan, Dapeng Zhang, Zehao Li +8

Recently, patch deformation-based methods have demonstrated significant effectiveness in multi-view stereo due to their incorporation of deformable and expandable perception for re…

cs.CV2025

SED-MVS: Segmentation-Driven and Edge-Aligned Deformation Multi-View Stereo with Depth Restoration and Occlusion Constraint

Zhenlong Yuan, Zhidong Yang, Yujun Cai +6

Recently, patch-deformation methods have exhibited significant effectiveness in multi-view stereo owing to the deformable and expandable patches in reconstructing textureless areas…

cs.CV2024

MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert

Dapeng Zhang, Dayu Chen, Peng Zhi +6

Constructing online High-Definition (HD) maps is crucial for the static environment perception of autonomous driving systems (ADS). Existing solutions typically attempt to detect v…