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arXiv 2021年

作者： Xu, Qingshan Oswald, Martin R. Tao, Wenbing Pollefeys, Marc Cui, Zhaopeng National Key Laboratory of Science and Technology on Multispectral Information Processing School of Artifical Intelligence and Automation Huazhong University of Science and Technology China Computer Vision and Geometry Group ETH Zurich Switzerland State Key Lab of CAD & CG Zhejiang University China Microsoft Artificial Intelligence and Mixed Reality Lab Zurich Switzerland

In deep multi-view stereo networks, cost regularization is crucial to achieve accurate depth estimation. Since 3D cost volume filtering is usually memory-consuming, recurrent 2D cost map regularization has recently become popular and has shown great potential in reconstructing 3D models of different scales. However, existing recurrent methods only model the local dependencies in the depth domain, which greatly limits the capability of capturing the global scene context along the depth dimension. To tackle this limitation, we propose a novel non-local recurrent regularization network for multi-view stereo, named NR2-Net. Specifically, we design a depth attention module to capture non-local depth interactions within a sliding depth block. Then, the global scene context between different blocks is modeled in a gated recurrent manner. This way, the long-range dependencies along the depth dimension are captured to facilitate the cost regularization. Moreover, we design a dynamic depth map fusion strategy to improve the algorithm robustness. Our method achieves state-of-the-art reconstruction results on both DTU and Tanks and Temples datasets. Copyright © 2021, The Authors. All rights reserved.

关键词： Three dimensional computer graphics

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Terahertz Wireless Communications

引用

China Communications 2021年第5期18卷 I0003-I0007页

作者： Zhi Chen Chong Han Xianbin Yu Guangjian Wang Nan Yang Mugen Peng Key Laboratory of Terahertz Technology Ministry of Education the Terahertz Wireless Communications(TWC)Laboratory University of Michigan–Shanghai Jiao Tong University(UM-SJTU)Joint InstituteShanghai Jiao Tong UniversityChina the College of Information Science and Electronic Engineering at Zhejiang University Huawei Technologies Co. Ltd.2012 lab. the School of Engineering at the Australian National University BUPT the School of Information and Communication Engineering State Key Laboratory of Networking and Switching Technology

With Wireless communications in the 0.1-10TeraHertz(THz)band are envisioned as one of the key enablers towards ubiquitous wireless communications beyond 5G accommodating a massive number of connected devices and ultra-high user data rates in the order of *** THz band is located between the millimeter-wave(mmWave)and the far infrared(IR)band and still considered as one of the least investigated and exploited regions in the electromagnetic spectrum.

关键词： millimeter spectrum. Wireless

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T-net: Deep stacked scale-iteration network for image Dehazing

arXiv

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arXiv 2021年

作者： Zheng, Lirong Li, Yanshan Zhang, Kaihao Luo, Wenhan ATR National Key Lab. of Defense Technology Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen518060 China College of Engineering and Computer Science Australian National University CanberraACT Australia Tencent Shenzhen China

Hazy images reduce the visibility of the image content, and haze will lead to failure in handling subsequent computer vision tasks. In this paper, we address the problem of image dehazing by proposing a dehazing network named T-Net, which consists of a backbone network based on the U-Net architecture and a dual attention module. And it can achieve multi-scale feature fusion by using skip connections with a new fusion strategy. Furthermore, by repeatedly unfolding the plain T-Net, Stack T-Net is proposed to take advantage of the dependence of deep features across stages via a recursive strategy. In order to reduce network parameters, the intra-stage recursive computation of ResNet is adopted in our Stack T-Net. And we take both the stage-wise result and the original hazy image as input to each T-Net and finally output the prediction of clean image. Experimental results on both synthetic and real-world images demonstrate that our plain T-Net and the advanced Stack T-Net perform favorably against the state-of-the-art dehazing algorithms, and show that our Stack T-Net could further improve the dehazing effect, demonstrating the effectiveness of the recursive strategy. Copyright © 2021, The Authors. All rights reserved.

关键词： Demulsification

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MRI-guided robot intervention—current state-of-the-art and new challenges

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Med-X 2023年第1期1卷 1-41页

作者： Huang, Shaoping Lou, Chuqian Zhou, Ying He, Zhao Jin, Xuejun Feng, Yuan Gao, Anzhu Yang, Guang-Zhong Institute of Medical Robotics and School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT) Shanghai Jiao Tong University Shanghai China Materials and Technology Center of Robotics Empa Dübendorf Switzerland State Key Lab of Metal Matrix Composites and School of Materials Science and Engineering Shanghai Jiao Tong University Shanghai China Institute of Medical Robotics and Department of Automation Shanghai Jiao Tong University Shanghai China The Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China

Magnetic Resonance Imaging (MRI) is now a widely used modality for providing multimodal, high-quality soft tissue contrast images with good spatiotemporal resolution but without subjecting patients to ionizing radiation. In addition to its diagnostic potential, its future theranostic value lies in its ability to provide MRI-guided robot intervention with combined structural and functional mapping, as well as integrated instrument localization, target recognition, and in situ, in vivo monitoring of the therapeutic efficacy. Areas of current applications include neurosurgery, breast biopsy, cardiovascular intervention, prostate biopsy and radiotherapy. Emerging applications in targeted drug delivery and MRI-guided chemoembolization are also being pursued. Whilst promising progress has been made in recent years, there are still significant basic science research and engineering challenges. This paper provides a comprehensive review of the current state-of-the-art in MRI-guided robot intervention and allied technologies in actuation, sensing, new materials, interventional instruments, and interactive/real-time MRI. Potential future research directions and new clinical developments are also discussed.

关键词： MRI-guided robot intervention Actuation Sensing Materials Interventional instruments Interactive/realtime MRI

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Increment adaptive correlation filter for visual tracking 11

Increment adaptive correlation filter for visual tracking

引用

11th International Symposium on multispectral Image processing and Pattern Recognition: Pattern Recognition and Computer Vision, MIPPR 2019

作者： Chen, Gang Fang, Zhiwen Yue, Zhou Liu, Bo Xiao, Yang Li, Yanan Department of Information Hunan University of Humanities Science and Technology Loudi Hunan China Department of Energy and Electromechanical Engineering Hunan University of Humanities Science and Technology Loudi Hunan China School of Biomedical Engineering Southern Medical University Guangzhou Guangdong China National Key Lab of Sci. and Tech. on Multispectral Information Processing School of Automation Huazhong Univ. of Sci. and Tech. Wuhan Hubei China School of Computer Science and Engineering Wuhan Institute of Technology Wuhan Hubei China

ISBN: (纸本)9781510636378

Currently, the correlation filter is widely used in visual tracking because of its effectiveness and efficiency. To adapt the representation to changing target appearances, a linear interpolation is used to update tracking models according to a manually designed learning rate. However, The limitation of manually tricks make methods only apply to some special scenes because the threshold parameters are sensitive to different response maps in complex scenes. In this paper, to overcome this problem, an adaptive increment correlation filter based tracker is proposed. Different from traditional linear interpolation depending on a manual learning rate, the increment is learned by linear regression based on the history tracking model and the current training samples. Experimentally, we show that our algorithm can outperform state-of-the-art key point-based trackers. © SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Adaptive filtering

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Localization of chiral edge states by the non-Hermitian skin effect

arXiv

引用

arXiv 2023年

作者： Liu, Gui-Geng Mandal, Subhaskar Zhou, Peiheng Xi, Xiang Banerjee, Rimi Hu, Yuan-Hang Wei, Minggui Wang, Maoren Wang, Qiang Gao, Zhen Chen, Hongsheng Yang, Yihao Chong, Yidong Zhang, Baile Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link Singapore637371 Singapore National Engineering Research Center of Electromagnetic Radiation Control Materials State Key Laboratory of Electronic Thin Film and Integrated Devices University of Electronic Science and Technology of China Chengdu610054 China Department of Electrical and Electronic Engineering Southern University of Science and Technology Shenzhen518055 China School of Physics Collaborative Innovation Center of Advanced Microstructures Nanjing University Jiangsu Nanjing210093 China Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Science and Technology Innovation Center College of Information Science and Electronic Engineering Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang ZJU-UIUC Institute Zhejiang University Hangzhou310027 China Centre for Disruptive Photonic Technologies The Photonics Institute Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore

Quantum Hall systems host chiral edge states extending along the one-dimensional boundary of any two-dimensional sample. In solid state materials, the edge states serve as perfectly robust transport channels that produce a quantised Hall conductance;due to their chirality, and the topological protection by the Chern number of the bulk bandstructure, they cannot be spatially localized by defects or disorder. Here, we show experimentally that the chiral edge states of a lossy quantum Hall system can be localized. In a gyromagnetic photonic crystal exhibiting the quantum Hall topological phase, an appropriately structured loss configuration imparts the edge states’ complex energy spectrum with a feature known as point-gap winding. This intrinsically non-Hermitian topological invariant is distinct from the Chern number invariant of the bulk (which remains intact) and induces mode localization via the "non-Hermitian skin effect". The interplay of the two topological phenomena – the Chern number and point-gap winding – gives rise to a non-Hermitian generalisation of the paradigmatic Chern-type bulk-boundary correspondence principle. Compared to previous realisations of the non-Hermitian skin effect, the skin modes in this system have superior robustness against local defects and disorders. Copyright © 2023, The Authors. All rights reserved.

关键词： Topology

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Load Balancing a Multi-Block Grids-based Application on Heterogeneous Platform

Load Balancing a Multi-Block Grids-based Application on Hete...

引用

IEEE International Conference on Computational science and Engineering, CSE

作者： Yonggang Che Chuanfu Xu Zhenghua Wang Institute for Quantum Information & State Key Lab. of High Performance Computing College of Computer National University of Defense Technology Changsha China Science and Technology on Parallel and Distributed Processing Lab National University of Defense Technology Changsha China

ISBN: (数字)9781665403986

ISBN: (纸本)9781665403993

This paper presents a load balancing method for a multi-block grids-based CFD (Computational Fluid Dynamics) application on heterogeneous platform. This method includes an asymmetric task scheduling scheme and a load balancing model. The idea is to balance the computing speed between the CPU and the coprocessor by adjusting the workload and the numbers of threads on both sides. Optimal load balance parameters are empirically selected, guided by a performance model. Performance evaluation is conducted on a computer server consists of two Intel Xeon E5-2670 v3 CPUs and two MIC coprocessors (Xeon Phi 5110P and Xeon Phi 7120P) for the simulation of turbulent combustion in a supersonic combustor. The results show that the performance is highly sensitive to the load balance parameters. With the optimal parameters, the heterogeneous computing achieves a maximum speedup of 2.30 × for a 6-block mesh, and a maximum speedup of 2.66 × for a 8-block mesh, over the CPU-only computing.

关键词： Computational modeling Computational fluid dynamics Load management Servers Task analysis Load modeling Coprocessors

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Demonstration of broadband topological slow light

arXiv

引用

arXiv 2022年

作者： Chen, Fujia Xue, Haoran Pan, Yuang Wang, Maoren Hu, Yuanhang Zhang, Li Chen, Qiaolu Han, Song Liu, Gui-Geng Gao, Zhen Zhou, Peiheng Yin, Wenyan Chen, Hongsheng Zhang, Baile Yang, Yihao Interdisciplinary Center for Quantum Information State Key Lab. of Modern Optical Instrumentation College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China ZJU-Hangzhou Global Science and Technology Innovation Center Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang ZJU-UIUC Institute Zhejiang University Hangzhou310027 China Jinhua Institute of Zhejiang University Zhejiang University Jinhua321099 China Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link Singapore637371 Singapore Centre for Disruptive Photonic Technologies The Photonics Institute Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore National Engineering Research Center of Electromagnetic Radiation Control Materials State Key Laboratory of Electronic Thin Film and Integrated Devices University of Electronic Science and Technology of China Chengdu610054 China Department of Electrical and Electronic Engineering Southern University of Science and Technology Shenzhen518055 China

Slow-light devices are able to significantly enhance light-matter interaction due to the reduced group velocity of light, but a very low group velocity is usually achieved in a narrow bandwidth, accompanied by extreme sensitivity to imperfections that causes increased disorder-induced attenuation. Recent theories have suggested an ideal solution to this problem—unidirectional chiral photonic states, previously discovered in structures known as photonic topological insulators, not only resist backscattering from imperfections but can also be slowed down in the entire topological bandgap with multiple windings in the Brillouin zone. Here, we report on the experimental demonstration of broadband topological slow light in a photonic topological insulator. When coupled with periodic resonators that form flat bands, the chiral photonic states can wind many times around the Brillouin zone, achieving an ultra-low group velocity in the entire topological bandgap. This demonstration extends the scope of topological photonics into slow light engineering, and opens a unique avenue in the dispersion manipulation of chiral photonic states. © 2022, CC BY.

关键词： Slow light

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Scalab.e and ultrafast epitaxial growth of single-crystal graphene wafers for electrically tunable liquid-crystal microlens arrays

引用

science Bulletin 2019年第10期64卷 659-668页

作者： Bing Deng Zhaowei Xin Ruiwen Xue Shishu Zhang Xiaozhi Xu Jing Gao Jilin Tang Yue Qi Yani Wang Yan Zhao Luzhao Sun Huihui Wang Kaihui Liu Mark H. Rummeli Lu-Tao Weng Zhengtang Luo Lianming Tong Xinyu Zhang Changsheng Xie Zhongfan Liu Hailin Peng Center for Nanochemistry (CNC) Beijing Science and Engineering Center for Nanocarbons Beijing National Laboratory for Molecular Sciences (BNLMS) College of Chemistry and Molecular Engineering Peking University Beijing 100871 China Beijing Graphene Institute (BCl) Beijing 100094 China Wuhan National Laboratory for Optoelectronics School of Automation National Key Laboratory of Science and Technology on Multispectral Information Processing Huazhong University of Science & Technology Wuhan 430074 China Department of Chemical and Biological Engineering Materials Characterization and Preparation Facility The Hong Kong University of Science and Technology Hong Kong 999077 China State Key Laboratory for Mesoscopic Physics School of Physics Peking University Beijing 100871 China Institute of Functional Nano and Soft Materials (FUNSOM) J iangsu Key Laboratory for Carbon-Based Functional Materials and Devices and Joint International Research Laboratory of Carbon-Based Functional Materials and Devices Soochow University Suzhou 215123 China Academy for Advanced Interdisciplinary Studies Peking University Beijing 100871 China Key Laboratory of Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province College of Energy Soochow Institute for Energy and Materials Innovations Soochow University Suzhou 215006 China Centre of Polymer and Carbon Materials Polish Academy of Sciences Zabrze 41-819 Poland Wuhan National Laboratory for Optoelectronics Huazhong University of Science & Technology Wuhan 430074 China

The scalab.e growth of wafer-sized single-crystal graphene in an energy-efficient manner and compatible with wafer process is critical for the killer applications of graphene in high-performance electronics and optoelectronics. Here, ultrafast epitaxial growth of single-crystal graphene wafers is realized on singlecrystal Cu90Ni10(1 1 1) thin films fabricated by a tailored two-step magnetron sputtering and recrystallization process. The minor nickel(Ni) content greatly enhances the catalytic activity of Cu, rendering the growth of a 4 in. single-crystal monolayer graphene wafer in 10 min on Cu90Ni10(1 1 1), 50 folds faster than graphene growth on Cu(1 1 1). Through the carbon isotope lab.ling experiments, graphene growth on Cu90Ni10(1 1 1) is proved to be exclusively surface-reaction dominated, which is ascribed to the Cu surface enrichment in the Cu Ni alloy, as indicated by element in-depth profile. One of the best benefits of our protocol is the compatibility with wafer process and excellent scalab.lity. A pilot-scale chemical vapor deposition(CVD) system is designed and built for the mass production of single-crystal graphene wafers, with productivity of 25 pieces in one process cycle. Furthermore, we demonstrate the application of single-crystal graphene in electrically controlled liquid-crystal microlens arrays(LCMLA), which exhibit highly tunable focal lengths near 2 mm under small driving voltages. By integration of the graphene based LCMLA and a CMOS sensor, a prototype camera is proposed that is availab.e for simultaneous light-field and light intensity imaging. The single-crystal graphene wafers could hold great promising for highperformance electronics and optoelectronics that are compatible with wafer process.

关键词： Graphene Ultrafast growth CuNi(1 1 1)thin film Single crystal wafer Liquid crystal microlens arrays

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A formation-constrained cooperative path planning method for multi-Autonomous underwater vehicles

A formation-constrained cooperative path planning method for...

引用

2017 International Conference on Computing Intelligence and information System, CIIS 2017

作者： Du, Shuangshuang Cai, Chao Wang, Houjun Li, Dongwu National Key Laboratory for Multispectral Information Processing Technologies School of Automation Huazhong University of Science and Technology Wuhan Hubei430074 China National Ocean Technology Center Tianjin300100 China Tianjin Zhong Wei Aerospace Data System Technology Co.Ltd Tianjin300100 China

ISBN: (纸本)9781538638866

A novel path planning method based on particle swarm optimization (PSO) is proposed to achieve cooperative formation cruise for multi-Autonomous underwater vehicles (AUV). In particular, inspired by the virtual structure approach, particle in PSO is defined as a set of cooperative routes. These routes are composed by a series of navigation points including the initial points and the target points of corresponding vehicles. Given these navigation points, the optimization can be carried out in the search space described by vectors. By designing a reasonable cost function and a particle updating strategy, the method successfully coordinates the time and space of vehicles before vehicles arrived the formation-constrained positions, and simultaneously, preserves the formation constraint and avoids obstacles during the navigation, which provides a new perspective to address the cooperative path planning problem with a formation constraint. The feasibility and effectiveness of the proposed method are validated by experiments. © 2017 IEEE.

关键词： Autonomous underwater vehicles

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