Zhiguang Shi

Infrared Small Target Detection via Semantic-Unbiased Domain Adaptation

Yu Zhang, Yan Zhang, Zhiguang Shi, Ruobin Gao et autres

cn (code pays fourni par la source)

A dual-capsule structural airship for flight in the stratosphere

Zhiguang Shi, Zongyu Zuo, Jiawei Song, Jingchuan Tang et autres

cn (code pays fourni par la source)

S -nitrosoglutathione reductase as a therapeutic target for diabetic vascular complications in rodent models

Shuang Jin Zhao, Xin Tang, Yuhao Yang, Zhi‐Ren Zhang et autres

Endothelial dysfunction is one of the earliest processes in diabetes and a major contributor to diabetic vascular complications, which often exhibit limited response to glucose-lowering therapies. We identified up-regulated S -nitrosoglutathione reductase (GSNOR) as a critical factor associated with diabetic vascular complications …

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Domain-Invariant Dehazing via Depth-Aware Transmission Estimation and Image Restoration

Feng Ling, Yan Zhang, Zhiguang Shi, Jinghua Zhang et autres

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NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results

Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu et autres

Cross-Domain Few-Shot Object Detection (CD-FSOD) poses significant challenges to existing object detection and few-shot detection models when applied across domains. In conjunction with NTIRE 2025, we organized the 1st CDFSOD Challenge, aiming to advance the performance of current object detectors on entirely …

NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results

Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu et autres

Cross-Domain Few-Shot Object Detection (CD-FSOD) poses significant challenges to existing object detection and few-shot detection models when applied across domains. In conjunction with NTIRE 2025, we organized the 1st CD-FSOD Challenge, aiming to advance the performance of current object detectors on entirely …

Unmanned Aerial Vehicle Object Detection Based on Information-Preserving and Fine-Grained Feature Aggregation

Jiangfan Zhang, ZhongXiang Zhang, Zhiguang Shi, Yu Zhang et autres

General deep learning methods achieve high-level semantic feature representation by aggregating hierarchical features, which performs well in object detection tasks. However, issues arise with general deep learning methods in UAV-based remote sensing image object detection tasks. Firstly, general feature aggregation methods such …

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CSAN-UNet: Channel Spatial Attention Nested UNet for Infrared Small Target Detection

Yuhan Zhong, Zhiguang Shi, Yan Zhang, Yong Zhang et autres

Segmenting small infrared targets presents a significant challenge for traditional image processing architectures due to the inherent lack of texture, minimal shape information, and their sparse pixel representation within images. The conventional UNet architecture, while proficient in general segmentation tasks, inadequately addresses …

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Motion-pressure coupled control and simulation of long-endurance capability for multicapsule stratospheric airships

Zhiguang Shi, Wei Huo, Zongyu Zuo

The current study focuses on the motion-pressure coupled control for a multicapsule stratospheric airship and transforms the path-tracking and heading-hold control of airships into guidance tracking with a time-varying weighted sum of longitudinal and lateral velocities by the definition of compound speed. …

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Moderately Dense Adaptive Feature Fusion Network for Infrared Small Target Detection

Chengyu Li, Zhiguang Shi, Yu Zhang, Yi Zhang

Detecting infrared small targets quickly and accurately in complex backgrounds has always been a challenging task. Data-driven methods have achieved good results because of their powerful feature extraction capabilities. Many algorithms use ResNet or VGG as their backbone, but because of the …

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Feature-concatenated transformer for 3D object tracking in point clouds

Qi Shen, Zhiguang Shi, Yan Zhang, Yong Zhang

Feature fusion is a key problem in 3D object tracking, especially in sparse and disordered point clouds scenes. The purpose of feature fusion is to achieve the communication and integration of template features and search features, so as to obtain the fusion …

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AARN: Anchor‐guided attention refinement network for inshore ship detection

Di Liu, Yan Zhang, Yan Chun Zhao, Zhiguang Shi et autres

Abstract Inshore ship detection is an important task in several fields, for example, maritime transportation, maritime supervision, and port management. However, due to the diversified categories and locations of different ships and interference of complex surroundings, capturing discriminative characteristics of multi‐scale inshore …

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