Wei Cai

Targeted Adversarial Camouflage Texture for Fooling Object Detectors via Native Supervision Redirection

Xingyu Di, Wei Cai, Xin Wang, Zhongjie Yin et autres

Adversarial camouflage has attracted growing research attention owing to its ability to execute multi-view, persistent attacks in real physical environments, outperforming conventional single-view adversarial patches. However, most existing methods are confined to non-targeted attacks, which induce arbitrary incorrect detection results without specifying …

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Cross-domain generation of visible-infrared aerial images based on distribution consistency enhancement

Xin Wang, Wei Cai, Yao Ding, Youan Xu et autres

Aerial infrared images are widely applied in the military field with excellent visibility under low-light and smoky conditions. They effectively compensate for the limitations of visible light in adverse illumination environments and can provide more clear target information. However, existing methods and …

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Diffusion Bridge Generation of Visible Light-to-Infrared Images Based on Multiscale Enhancement From Aerial Photography Perspective

Xin Wang, Wei Cai, Yao Ding, Xingyu Di et autres

To address the challenges of imbalanced multi-scale feature rhythm, network representation defects, and insufficient loss constraints in the generation of infrared images converted from aerial visible light images, a diffusion bridge generation model focusing on multi-scale enhancement is proposed. Starting from the …

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RGB to Infrared Image Translation Based on Diffusion Bridges Under Aerial Perspective

Xin Wang, Wei Cai, Yao Ding, Xingyu Di et autres

Infrared images have garnered significant interest due to their superior performance, driving extensive research on visible-to-infrared image translation. However, existing cross-domain generation methods lack specialization for infrared image generation under aerial perspective, leading to distribution inconsistencies between synthetic and real infrared images …

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Reform and Exploration of Russian Teaching in Colleges and Universities in the Digital Intelligence Era

Wei Cai

In the context of the continuous iteration and development of information technology, intelligent teaching methods have become the main trend in college education. With the acceleration of globalization, there is a growing demand from society and industries for professionals who possess not …

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A Phenomenological Polarized Spectral Bidirectional Reflectance Distribution Function Based on Spectral and Spatial Dependence

Zhiwei Zhang, Wei Cai, Mingdi Zhang, Xiaowei Wang

The polarized bidirectional reflectance distribution function (pBRDF) model not only quantifies radiation intensity, but also effectively describes the polarization characteristics of the scattered light on the target surface. In this paper, the spectral and spatial dependence of specular and diffuse reflection of …

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Mesenchymal stem cells derived from hPSC via neural crest attenuate chemotherapy-induced premature ovarian insufficiency by ameliorating apoptosis and oxidative stress in granulosa cells

Xinran Li, Jinrong Liao, Youhong Zheng, Wei Cai et autres

BACKGROUND: Premature ovarian insufficiency (POI) poses a significant threat to female reproductive health and currently lacks effective interventions. Recent studies highlight the promising potential of human pluripotent stem cell-derived mesenchymal stem cells (hPSC-MSC) in regenerative medicine. However, research on hPSC-MSC-based treatments for …

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Real-Time Acquisition of Multi-Angle Full Stokes Images Based on Dual DoFP Polarimeters

Zhiwei Zhang, Yang Zhi-yong, Wei Cai, Mingdi Zhang et autres

In this letter, we proposed a method to obtain full Stokes images in real-time using dual division of focal plane (DoFP) imaging polarimeters. Dual quarter-wave plates (QWPs) with specific angles were fixed in front of DoFPs to change the actual detected polarization …

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Stealthy Vehicle Adversarial Camouflage Texture Generation Based on Neural Style Transfer

Wei Cai, Xingyu Di, Xin Wang, Weijie Gao et autres

Adversarial attacks that mislead deep neural networks (DNNs) into making incorrect predictions can also be implemented in the physical world. However, most of the existing adversarial camouflage textures that attack object detection models only consider the effectiveness of the attack, ignoring the …

Diffusion Model for Camouflaged Object Segmentation with Frequency Domain

Wei Cai, Weijie Gao, Yao Ding, Xinhao Jiang et autres

The task of camouflaged object segmentation (COS) is a challenging endeavor that entails the identification of objects that closely blend in with their surrounding background. Furthermore, the camouflaged object’s obscure form and its subtle differentiation from the background present significant challenges during …

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Denoising Diffusion Implicit Model for Camouflaged Object Detection

Wei Cai, Weijie Gao, Xinhao Jiang, Xin Wang et autres

Camouflaged object detection (COD) is a challenging task that involves identifying objects that closely resemble their background. In order to detect camouflaged objects more accurately, we propose a diffusion model for the COD network called DMNet. DMNet formulates COD as a denoising …

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Comparison of population photosynthesis characteristics and grain yield of wheat under various sowing dates and seeding rates

Ying Liu, Wei Cai, Kuanyu Zhu, Yunji Xu et autres

Abstract This study investigated the effects of sowing dates and seeding rates on photosynthetic characteristics and grain yield in wheat (Triticum aestivum L.). A field experiment was conducted with three sowing dates—early sowing date (SD‐E), normal sowing date (SD‐N), and delay sowing …

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