Zhenlong Yuan

X-Ragent: Tool-Augmented Reinforcement Learning for Evidence-Grounded Chest X-Ray Reasoning

Yi Wang, Zhenlong Yuan, Yuchan Guo +9

Chest X-ray (CXR) interpretation often requires integrating visual findings with task-specific evidence rather than relying on direct visual recognition alone. While tool-augmented…

VepAgent: Bridging Causal-Transition via Tool-Augmented Reinforcement Learning for Video Event Prediction

Qiutong Chen, Yuchan Guo, Zhenlong Yuan +10

Multimodal Large Language Models (MLLMs) have demonstrated remarkable potential in video understanding, yet their reliance on retrospective summarization and text-centric priors of…

CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating

Jiyuan Wang, Huan Ouyang, Jiuzhou Lin +15

In this paper, we propose Concentrate and Concentrate (CaC), a coarse-to-fine anomaly reward model based on Vision-Language Models. During inference, it first conducts a global tem…

IndusAgent: Agentic Reinforcement Learning for Cross-Category Industrial Anomaly Detection

Rongbin Tan*, Rongbin Tan, Fangfang Lin* +16

Small defects in unfamiliar product categories can be difficult to distinguish from benign appearance variations in a global view. Additional reasoning over the same view may leave…

Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene Editing

Jiyuan Wang, Chunyu Lin, Lei Sun +8

Leveraging the priors of 2D diffusion models for 3D editing has emerged as a promising paradigm. However, multi-view consistency remains challenging in edited results, and the extr…

Human-Centric Open-Future Task Discovery: Formulation, Benchmark, and Scalable Tree-Based Search

Zijian Song, Xiaoxin Lin, Tao Pu +3

Recent progress in robotics and embodied AI is largely driven by Large Multimodal Models (LMMs). However, a key challenge remains underexplored: how can we advance LMMs to discover…

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…

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…

FashionPose: Unified Text-Driven Fashion Synthesis with Joint Geometric and Photometric Control

Chuancheng Shi, Shaotian Li, Zhenlong Yuan +2

Realistic and controllable garment synthesis is essential for fashion e-commerce, yet it demands precise coordination between human pose geometry and environmental photometry. Conv…

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…

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…

Light4GS: Lightweight Compact 4D Gaussian Splatting Generation via Context Model

Mufan Liu, Qi Yang, He Huang +4

3D Gaussian Splatting (3DGS) has emerged as an efficient and high-fidelity paradigm for novel view synthesis. To adapt 3DGS for dynamic content, deformable 3DGS incorporates tempor…

Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization

Kehua Chen, Zhenlong Yuan, Tianlu Mao +1

The reconstruction of low-textured areas is a prominent research focus in multi-view stereo (MVS). In recent years, traditional MVS methods have performed exceptionally well in rec…

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…

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

Zhenlong Yuan, Jinguo Luo, Fei Shen +4

Patch deformation-based methods have recently exhibited substantial effectiveness in multi-view stereo, due to the incorporation of deformable and expandable perception to reconstr…