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Discriminative feature encoding for intrinsic image decomposition

Computational Visual Media 2023年第3期9卷 597-618页

作者： Zongji Wang Yunfei Liu Feng Lu Key Laboratory of Network Information System Technology(NIST) Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100190China State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijing 100191China Peng Cheng Laboratory Shenzhen 518000China

Intrinsic image decomposition is an important and long-standing computer vision *** an input image,recovering the physical scene properties is *** physically motivated priors have been used to restrict the solution space of the optimization problem for intrinsic image *** work takes advantage of deep learning,and shows that it can solve this challenging computer vision problem with high *** focus lies in the feature encoding phase to extract discriminative features for different intrinsic layers from an input *** achieve this goal,we explore the distinctive characteristics of different intrinsic components in the high-dimensional feature embedding *** define feature distribution divergence to efficiently separate the feature vectors of different intrinsic *** feature distributions are also constrained to fit the real ones through a feature distribution *** addition,a data refinement approach is provided to remove data inconsistency from the Sintel dataset,making it more suitable for intrinsic image *** method is also extended to intrinsic video decomposition based on pixel-wise correspondences between adjacent *** results indicate that our proposed network structure can outperform the existing state-of-the-art.

关键词： intrinsic image decomposition deep learning feature distribution data refinement

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Image-Frequency-Resolved Electro-Optic Dual-Comb Spectroscopy Using a Single Modulator Without Optical Filter 16

Image-Frequency-Resolved Electro-Optic Dual-Comb Spectroscop...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Du, Yushang Zhao, Xin Zheng, Zheng School of Electronic and Information Engineering Beihang University Beijing100083 China Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beijing100083 China

A scheme to distinguish the interfered image frequencies between electro-optic modulated dual combs is proposed. Measurement of the absorptive spectrum of acetylene (C2H2) based on a simple setup is demonstrated. ... 详细信息

ISBN: (纸本)9798350372076

关键词： Optical filters

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Dual-Comb Pump-Probe Characterization of Ultrafast Nonlinear Dynamics of Silicon Photonic Waveguides 16

Dual-Comb Pump-Probe Characterization of Ultrafast Nonlinear...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Zhang, Yifan Ma, Xinxuan Wan, Yuhang Zhao, Xin Zheng, Zheng School of Electronic and Information Engineering Beihang University Beijing100083 China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing100083 China

Two-color pump-probe measurement of silicon waveguides is realized using an all-PM dual-comb fiber laser. High temporal resolution results simultaneously reveal the interplay of multiple nonlinear dynamics of ps-to-ns... 详细信息

ISBN: (纸本)9798350372076

关键词： Probes

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Enhanced High Frequency Response of Long Ge-on-Si Waveguide PIN Photodetectors under Deep Saturation 16

Enhanced High Frequency Response of Long Ge-on-Si Waveguide ...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Jiang, Siyi Zheng, Yaxuan Ma, Xinxuan Wan, Yuhang Zhao, Xin Zheng, Zheng School of Electronic and Information Engineering Beihang University Beijing100083 China Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beijing100083 China

Broadband frequency responses of silicon photonic photodetectors are experimentally investigated under linear and saturated conditions. It is shown that long photodetectors could have better high frequency outputs bey... 详细信息

ISBN: (纸本)9798350372076

关键词： Photodetectors

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MMI-Based Ge/Si Hybrid Compact Inline Optical Power Monitor 16

MMI-Based Ge/Si Hybrid Compact Inline Optical Power Monitor

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Ma, Xinxuan Wan, Yuhang Zheng, Zheng School of Electronic and Information Engineering Beihang University Beijing100083 China Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beijing100083 China

An compact inline power monitor with a short Ge segment over a silicon multimode interference (MMI) structure is proposed and fabricated. With ∼0.36dB loss, 15mA/W responsivity at 1550nm, it is useful for high-densit...

ISBN: (纸本)9798350372076

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Long-term stress relaxation behaviors and mechanisms of 2219 Al-Cu alloy under various temperatures and initial stresses

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Journal of Materials Science & technology 2024年第13期180卷 174-192页

作者： Hechuan Song Hanjun Gao Qingdong Zhang Xiaomin Zhou Boyang Zhang School of Mechanical Engineering University of Science and Technology BeijingBeijing 100083China Shunde Innovation School University of Science and Technology BeijingFoshan 528399China State Key Laboratory of Virtual Reality Technology and Systems&School of Mechanical Engineering and Automation Beihang UniversityBeijing 100191China Anhui Hengli Additive Manufacturing Technology Co. Ltd.Wuhu 241200China

Large 2219 Al-Cu alloy aerospace integral components suffer from long-term stress relaxation aging(SRA)due to complex temperature and stress loads during aging treatment/forming and service process,which makes it difficult to ensure their appropriate residual stress and excellent mechanical and service ***,the research is limited to a thorough understanding of macroscopic and microscopic features and underlying mechanisms of the long-term SRA under multivariable aging ***-fore,this study investigated macroscopic and microscopic features of long-term SRA under different tem-peratures(120 ℃ to 190 ℃),initial stress levels(100 MPa to 250 MPa)and durations(0 h to 50 h)through stress relaxation curves,metallographic traits,Vickers hardness,tensile performance,disloca-tions and phases of *** the basis of experimental outcomes,the comprehensive mecha-nisms beneath SRA were unraveled through dislocation theory,multiphase strengthening mechanisms and thermodynamics,where the interplays of stress relaxation behavior with age-hardening response were taken into *** results showed elevations in the rate of stress reduction as the tem-perature and initial stress *** an initial stress greater than the yield stress of alloy,a marked in-crease in stress relaxation was found,and the mechanisms transform from the intragranular motion of dislocations and diffusion of grain boundaries to the intragranular and intergranular motion of disloca-tions and migration of grain *** stress reduction rate rose sharply when the temperature exceeded 175 ℃,and the dislocation movement mechanisms transform from gliding to climbing of *** relaxation is in nature progressive transformation of strain from elastic into a permanently inelastic state via the motion of dislocations,leading to the decrease of movable dislocations and the increase of immovable dislocations with more stable *** age hardening i

关键词： 2219 aluminum alloys Stress relaxation aging Residual stresses Microstructures Dislocations Mechanisms

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Glass Wool Defect Detection Using an Improved YOLOv5

Glass Wool Defect Detection Using an Improved YOLOv5

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2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023

作者： Jin, Yizhou Lu, Yu Zhou, Gang Liu, Qingjie Wang, Yunhong Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beijing China Beihang University Hangzhou Innovation Institute China

ISBN: (纸本)9798350302493

Glass wool defect detection is a key part of product quality assessment in the glass wool production process, yet few studies have been reported in this area. We propose a glass wool defect dataset named GWD, and also use the YOLOv5s model embedded in the GSConv and the CBAM modules for both Gap and Glueless defects in this dataset. The experimental results show that the performance of the improved YOLOv5s on the GWD dataset is superior to other compared methods and achieves a relatively good level on other publicly available datasets. Compared to the vanilla YOLOv5s, the mAP50 increased by 3.7% to 84.1%, the recall increased by 4.2% to 84.4%, and the number of parameters decreased by 0.42 MB to 6.27 MB of the improved YOLOv5s model on the GWD dataset. Speed-wisely, the improved YOLOv5s achieves a 97 FPS on RTX 2080Ti, thus making it practical to be applied in the industry of glass wool defect detection. The research on the GWD dataset is likely to contribute to breakthroughs in research on other datasets of the same type as well. The GWD dataset can be obtained by contacting us via email. © 2023 IEEE.

关键词： Defects

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RDM: A Light Field Super-Resolution Model Improved with Retinex Decomposition 16

RDM: A Light Field Super-Resolution Model Improved with Reti...

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16th International Conference on Signal Processing systems, ICSPS 2024

作者： Lyu, Wenqi Ke, Wei Sheng, Hao Ma, Xiao Liu, Lixue Faculty of Applied Sciences Macao Polytechnic University China State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing100191 China

ISBN: (纸本)9781510689251

Light field cameras hold significant value in applications such as depth estimation, 3D video acquisition, and image super-resolution. Compared to traditional single-image super-resolution methods, light field images can capture object information from multiple spatial and angular perspectives, which is more conducive to capturing detail information. However, current advanced light field super-resolution models still exhibit issues like blurriness, jaggedness, and dimness in 4x light field super-resolution. To address this, we propose a novel light field super-resolution framework that utilizes the Retinex decomposition concept to solve common problems such as ghosting and overlap, thereby improving image quality. By decomposing the light field image into illumination and reflection components and processing them separately, our model significantly enhances detail preservation and color consistency. Experimental results on multiple datasets demonstrate that our model exhibits outstanding performance, both subjectively and objectively, highlighting the effectiveness of this framework and its broad application potential in the field of computational imaging. © 2025 SPIE.

关键词： Image acquisition

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DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection 41

DSD-DA: Distillation-based Source Debiasing for Domain Adapt...

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41st International Conference on Machine Learning, ICML 2024

作者： Feng, Yongchao Li, Shiwei Gao, Yingjie Huang, Ziyue Zhang, Yanan Liu, Qingjie Wang, Yunhong State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China Hangzhou Innovation Institute Beihang University Hangzhou China Zhongguancun Laboratory Beijing China

Though feature-alignment based Domain Adaptive Object Detection (DAOD) methods have achieved remarkable progress, they ignore the source bias issue, i.e., the detector tends to acquire more source-specific knowledge, impeding its generalization capabilities in the target domain. Furthermore, these methods face a more formidable challenge in achieving consistent classification and localization in the target domain compared to the source domain. To overcome these challenges, we propose a novel Distillation-based Source Debiasing (DSD) framework for DAOD, which can distill domain-agnostic knowledge from a pre-trained teacher model, improving the detector's performance on both domains. In addition, we design a Target-Relevant Object Localization Network (TROLN), which can mine target-related localization information from source and target-style mixed data. Accordingly, we present a Domain-aware Consistency Enhancing (DCE) strategy, in which these information are formulated into a new localization representation to further refine classification scores in the testing stage, achieving a harmonization between classification and localization. Extensive experiments have been conducted to manifest the effectiveness of this method, which consistently improves the strong baseline by large margins, outperforming existing alignment-based works. Copyright 2024 by the author(s)

关键词： Domain Knowledge

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Create Machine Vision Inspired by Eagle Eye

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Research 2022年第4期2022卷 205-209页

作者： Haibin Duan Xiaobin Xu State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical EngineeringBeihang University(BUAA)Beijing 100083China Peng Cheng Laboratory Shenzhen 518055China

Eagle,a representative species in the raptor world,has the sharpest visual acuity among all *** reputation of the“clairvoyance”is employed to describe an *** excellent visual skills of eagles depend on their unique eye structures and special visual *** powerful vision perception mechanisms of the eagle bring abundant inspiration for traditional visual *** eagle eye vision technology provides a creative way to solve visual perception issues of“Knowing What is Where by Seeing.”The theoretical research and practical works of eagle vision would contribute to the development of machine vision,or even artificial intelligence(AI)in the real ***,eagle eye vision also provides feasible ideas for the popularization of new concepts in the virtual world in the future.

关键词： visual artificial Eagle

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