Hao Chen

TOTMSeg: A Texture-Aware Octree-Based Transformer-Mamba Framework for Large-Scale Urban Mesh Semantic Segmentation

Ruiming Zhang, Mengyu Ma, Chun Du, Jun Li et autres

Semantic segmentation of 3D urban meshes is a fundamental task for intelligent urban scene understanding. However, conventional methods face severe computational efficiency bottlenecks in large-scale scenarios. Meanwhile, state space models (SSMs) with inherent linear time complexity offer an efficient solution, but existing …

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Data and Knowledge Dual-Driven Text Embedding Approaches: A Survey

Xiaoyin Chen, 詹佳青, Jiayi Lin, Han Liu et autres

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From scene to object: Cross-view object geo-localization via cross-task knowledge transfer learning

Jiangshan Li, Jun Li, Luo Chen, Nan Wu et autres

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Research on Incremental Geometrical Reconstruction Method of Building Structures Based on Point Clouds

Cao Xian, Changyu Qian, Hanqiang Deng, 倪向荣 et autres

With the development of intelligent unmanned systems, it is important for indoor mobile mapping and structural perception to reconstruct building structures in a timely manner from sequential LiDAR point clouds. However, many existing reconstruction methods rely on complete or accumulated point clouds, …

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Multi-Criteria evaluation and ranking of 28 precipitation products over China

Le Xinlong, Kang Ling, L Zhou, J Wei et autres

Multi-source precipitation products exhibit strong regional differences across China’s complex monsoon climates and pronounced topographic gradients, making single-metric evaluations insufficient for product selection. This study evaluates 28 widely used precipitation products over China from four categories: gauge-based, satellite-derived, reanalysis, and multi-source merged …

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Medical Vision-Language Models: Existing Technologies, Clinical Applications and Future Directions

Le Zou, Mengyu Ma, J B Li, Hao Chen et autres

Medical image analysis is a cornerstone of modern healthcare, yet conventional single-modal deep learning often struggles with the unique physical constraints and structural variability inherent in data acquired from diverse medical sensors. Recently, Vision-Language Models (VLMs) have sparked a paradigm shift by …

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An Adaptive Kernel Gaussian Process Regression Framework for Teaching Quality Evaluation in Product Development Courses

Yubin Li, Hao Chen

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U 2 ‐ DBA : A Dual‐Scale Boundary‐Aware Network With Feature‐Boundary‐Skeleton Loss for Robust Skin Lesion Segmentation

Zhiyan Che, Ruyun Chen, Hao Chen, Yonggui Li

ABSTRACT Accurate segmentation of skin lesions is crucial for dependable computer‐aided diagnosis of melanoma. However, many existing deep learning models still have difficulty dealing with vague lesion borders, uneven appearance, and unstable performance when applied to new datasets. This paper proposes a …

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UAV Video Vehicle Object Detection Based on Spatio-Temporal Feature Enhancement

Xu Cao, Yuqing Zhang, Huanxin Zou, Li Liu et autres

In recent years, vehicle detection in unmanned aerial vehicle (UAV) videos has attracted significant attention. However, the traditional detection paradigm based on single frame image is faced with the performance bottleneck caused by rare pose, motion blur and occlusion. To address these …

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SAM4RoadEx: A Segment Anything Model-Based Framework for Road Extraction From Remote Sensing Images With Prompt-Guided Active Supervision

Yu Li, Anran Yang, Mengyu Ma, Hao Chen

Road extraction from remote sensing images is crucial for autonomous driving, urban planning, and disaster response, yet remains challenging due to the presence of complex interference, the elongated structure of roads, and occlusions by surrounding objects. To tackle these challenges, we propose …

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Cross Domain Adaptation for Online Map Generation from Optical Remote Sensing Image via Diffusion Model

Zhaozhen Ding, Jilong Tian, Peiqin Li, Hao Chen

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BWFNet: 3D building reconstruction via building wireframe from single off-nadir image with semi-weak supervision

Ruizhe Shao, Jun Li, Wei XIONG, Hao Chen et autres

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