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Workshops held at the 16th European Conference on Computer Vision, ECCV 2020

作者： Zhang, Kai Danelljan, Martin Li, Yawei Timofte, Radu Liu, Jie Tang, Jie Wu, Gangshan Zhu, Yu He, Xiangyu Xu, Wenjie Li, Chenghua Leng, Cong Cheng, Jian Wu, Guangyang Wang, Wenyi Liu, Xiaohong Zhao, Hengyuan Kong, Xiangtao He, Jingwen Qiao, Yu Dong, Chao Luo, Xiaotong Chen, Liang Zhang, Jiangtao Suin, Maitreya Purohit, Kuldeep Rajagopalan, A.N. Li, Xiaochuan Lang, Zhiqiang Nie, Jiangtao Wei, Wei Zhang, Lei Muqeet, Abdul Hwang, Jiwon Yang, Subin Kang, JungHeum Bae, Sung-Ho Kim, Yongwoo Qu, Yanyun Jeon, Geun-Woo Choi, Jun-Ho Kim, Jun-Hyuk Lee, Jong-Seok Marty, Steven Marty, Eric Xiong, Dongliang Chen, Siang Zha, Lin Jiang, Jiande Gao, Xinbo Lu, Wen Wang, Haicheng Bhaskara, Vineeth Levinshtein, Alex Tsogkas, Stavros Jepson, Allan Kong, Xiangzhen Zhao, Tongtong Zhao, Shanshan Hrishikesh, P.S. Puthussery, Densen Jiji, C.V. Nan, Nan Liu, Shuai Cai, Jie Meng, Zibo Ding, Jiaming Ho, Chiu Man Wang, Xuehui Yan, Qiong Zhao, Yuzhi Chen, Long Sun, Long Wang, Wenhao Liu, Zhenbing Lan, Rushi Umer, Rao Muhammad Micheloni, Christian Computer Vision Lab ETH Zurich Zürich Switzerland State Key Laboratory for Novel Software Technology Nanjing University Nanjing210023 China MAICRO Nanjing China University of Electronic Science and Technology of China Nanjing China McMaster University Hamilton Canada Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Beijing China Xiamen University Xiamen China Indian Institute of Technology Madras Chennai India Nanjing University of Aeronautics and Astronautics Nanjing China School of Computer Science Northwestern Polytechnical University Xi’an China Kyung Hee University Seoul Korea Republic of Sang Myung University Seoul Korea Republic of Yonsei University Seoul Korea Republic of ETH Zurich Zürich Switzerland Zhejiang University Hangzhou China Shandong China Xidian University Xi’an China Samsung AI Centre Toronto Canada Wuhan China Dalian Maritime University Dalian China China Everbright Bank Co. Ltd. Beijing China College of Engineering Trivandrum India Jinan China InnoPeak Technology Inc. Palo Alto United States SenseTime Research Hong Kong China Sun Yat-sen University Guangzhou China City University of Hong Kong Kowloon Hong Kong Guilin University of Electronic Technology Guilin541004 China University of Udine Udine Italy

ISBN: (纸本)9783030670696

This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an input image with a magnification factor × 4 based on a set of prior examples of low and corresponding high resolution images. The goal is to devise a network that reduces one or several aspects such as runtime, parameter count, FLOPs, activations, and memory consumption while at least maintaining PSNR of MSRResNet. The track had 150 registered participants, and 25 teams submitted the final results. They gauge the state-of-the-art in efficient single image super-resolution. © 2020, Springer Nature Switzerland AG.

关键词： Optical resolving power

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Reconfigurable Intelligent Surface Assisted High-Speed Train Communications: Coverage Performance Analysis and Placement Optimization

arXiv

引用

arXiv 2023年

作者： Liu, Changzhu He, Ruisi Niu, Yong Han, Zhu Ai, Bo Gao, Meilin Ma, Zhangfeng Wang, Gongpu Zhong, Zhangdui The State Key Laboratory of Advanced Rail Autonomous Operation The School of Electronics and Information Engineering The Frontiers Science Center for Smart High-speed Railway System The Beijing Engineering Research Center of High-Speed Railway Broadband Mobile Communications Beijing Jiaotong University Beijing100044 China The State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing100044 China The National Mobile Communications Research Laboratory Southeast University Nanjing211189 China The Department of Electrical and Computer Engineering The University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China The Tsinghua Space Center the Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100091 China The College of Information Engineering Shaoyang University Shaoyang422000 China The Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology Beijing Jiaotong University Beijing100044 China

Reconfigurable intelligent surface (RIS) emerges as maximization problem is formulated to facilitate RIS discrete an efficient and promising technology for the next wireless phase design and RIS placement optimization, which is subject generation networks and has attracted a lot of attention owing to coverage probability constraint. Simulation results validate to the capability of extending wireless coverage by reflecting that better coverage performance and higher travel distance signals toward targeted receivers. In this paper, we consider can be achieved with deployment of RIS. The impacts of some a RIS-assisted high-speed train (HST) communication system key system parameters including transmission power, signal-to-to enhance wireless coverage and improve coverage probability. noise ratio threshold, number of RIS elements, number of RIS First, coverage performance of the downlink single-input-single- quantization bits, horizontal distance between base station and output system is investigated, and the closed-form expression RIS, and speed of HST on system performance are investigated. of coverage probability is derived. Moreover, travel distance In addition, it is found that RIS can well improve coverage probability with limited power consumption for HST communications. Copyright © 2023, The Authors. All rights reserved.

关键词： Railroads

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A Multi-Timescale Characteristics Analysis of the Network Power Response Excited by Voltage with Time-Varying Amplitude and Frequency

引用

engineering 2024年

作者： Jiabing Hu Weizhong Wen Yingbiao Li Xing Liu Jianbo Guo State Key Laboratory of Advanced Electromagnetic Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China Power Dispatch and Control Center of State Grid Anhui Electric Power Co. Ltd. Hefei 230022 China National Key Laboratory of Renewable Energy Grid-Integration China Electric Power Research Institute Beijing 100192 China

The dynamics of network power response play a crucial role in system stability. However, the integration of power electronic equipment leads to amplitude and angular frequency (abbreviated as “frequency”) time-varying characteristics of the node voltage during dynamic processes. As a result, traditional calculation methods for and characteristics of the power response of the network based on phasor and impedance lose their validity. Therefore, this paper undertakes mathematical calculations to reveal the power response of a network under excitation by voltage with time-varying amplitude and frequency (TVAF), relying on the original mathematical relationships and superimposed step response. Then, the multi-timescale characteristics of both the active and reactive power of the network are explored physically. Additionally, this paper reveals a new phenomenon of storing and releasing the active and reactive power of the network. To meet practical engineering requirements, a simplified power expression is presented. Finally, the theoretical analysis is validated through time-domain simulations.

关键词： Power response of network Voltage with time-varying amplitude and frequency Multi-timescale characteristics Power electronic equipment

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Orbital Magneto-Nonlinear Anomalous Hall Effect in Kagome Magnet Fe3Sn2

引用

Physical Review Letters 2024年第10期132卷 106601-106601页

作者： Lujunyu Wang Jiaojiao Zhu Haiyun Chen Hui Wang Jinjin Liu Yue-Xin Huang Bingyan Jiang Jiaji Zhao Hengjie Shi Guang Tian Haoyu Wang Yugui Yao Dapeng Yu Zhiwei Wang Cong Xiao Shengyuan A. Yang Xiaosong Wu State Key Laboratory for Artificial Microstructure and Mesoscopic Physics Frontiers Science Center for Nano-optoelectronics Peking University Beijing 100871 China Research Laboratory for Quantum Materials Singapore University of Technology and Design Singapore 487372 Singapore Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore 637371 Singapore Centre for Quantum Physics Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE) School of Physics Beijing Institute of Technology Beijing 100081 China School of Sciences Great Bay University Dongguan 523000 China Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems Beijing Institute of Technology Beijing 100081 China Material Science Center Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing China Shenzhen Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen 518055 China Institute of Applied Physics and Materials Engineering University of Macau Taipa Macau China Department of Physics The University of Hong Kong Hong Kong China HKU-UCAS Joint Institute of Theoretical and Computational Physics at Hong Kong China Collaborative Innovation Center of Quantum Matter Beijing 100871 China Peking University Yangtze Delta Institute of Optoelectronics Nantong 226010 Jiangsu China

It has been theoretically predicted that perturbation of the Berry curvature by electromagnetic fields gives rise to intrinsic nonlinear anomalous Hall effects that are independent of scattering. Two types of nonlinear anomalous Hall effects are expected. The electric nonlinear Hall effect has recently begun to receive attention, while very few studies are concerned with the magneto-nonlinear Hall effect. Here, we combine experiment and first-principles calculations to show that the kagome ferromagnet Fe3Sn2 displays such a magneto-nonlinear Hall effect. By systematic field angular and temperature-dependent transport measurements, we unambiguously identify a large anomalous Hall current that is linear in both applied in-plane electric and magnetic fields, utilizing a unique in-plane configuration. We clarify its dominant orbital origin and connect it to the magneto-nonlinear Hall effect. The effect is governed by the intrinsic quantum geometric properties of Bloch electrons. Our results demonstrate the significance of the quantum geometry of electron wave functions from the orbital degree of freedom and open up a new direction in Hall transport effects.

关键词： Anomalous Hall effect Electronic structure Topological materials Kagome lattice Soft magnets Weyl semimetal

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A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training

arXiv

引用

arXiv 2023年

作者： Wang, Hanwen Qi, Yu Yao, Lin Wang, Yueming Farina, Dario Pan, Gang The College of Computer Science and Technology Zhejiang University Hangzhou China The Affiliated Mental Health Center Hangzhou Seventh People's Hospital The MOE Frontier Science Center for Brain Science and Brain-machine Integration Zhejiang University School of Medicine The State Key Lab of Brain-Machine Intelligence Hangzhou China The Department of Neurobiology Affiliated Mental Health Center Hangzhou Seventh People's Hospital Zhejiang University School of Medicine MOE Frontiers Science Center for Brain and Brain-Machine Integration Zhejiang University Department of Biomedical Engineering Zhejiang University College of Computer Science and Technology Hangzhou China The Qiushi Academy for Advanced Studies Zhejiang University Hangzhou China The Department of Bioengineering Imperial College London London United Kingdom The State Key Lab of Brain-Machine Intelligence The College of Computer Science and Technology Zhejiang University Hangzhou China The First Affiliated Hospital Zhejiang University Hangzhou China

Brain-computer interfaces (BCIs) provide a direct pathway from the brain to external devices and have demonstrated great potential for assistive and rehabilitation technologies. Endogenous BCIs based on electroencephalogram (EEG) signals, such as motor imagery (MI) BCIs, can provide some level of control. However, mastering spontaneous BCI control requires the users to generate discriminative and stable brain signal patterns by imagery, which is challenging and is usually achieved over a very long training time (weeks/months). Here, we propose a human-machine joint learning framework to boost the learning process in endogenous BCIs, by guiding the user to generate brain signals towards an optimal distribution estimated by the decoder, given the historical brain signals of the user. To this end, we firstly model the human-machine joint learning process in a uniform formulation. Then a human-machine joint learning framework is proposed: 1) for the human side, we model the learning process in a sequential trial-and-error scenario and propose a novel "copy/new" feedback paradigm to help shape the signal generation of the subject toward the optimal distribution;2) for the machine side, we propose a novel adaptive learning algorithm to learn an optimal signal distribution along with the subject's learning process. Specifically, the decoder reweighs the brain signals generated by the subject to focus more on "good" samples to cope with the learning process of the subject. Online and psuedo-online BCI experiments with 18 healthy subjects demonstrated the advantages of the proposed joint learning process over co-adaptive approaches in both learning efficiency and effectiveness. © 2023, CC BY.

关键词： Electroencephalography

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Observation of negative THz photoconductivity in large area type-Ⅱ Dirac semimetal PtTe2

arXiv

引用

arXiv 2020年

作者： Suo, Peng Zhang, Huiyun Yan, Shengnan Zhang, Wenjie Fu, Jibo Lin, Xian Hao, Song Jin, Zuanming Zhang, Yuping Zhang, Chao Miao, Feng Liang, Shi-Jun Ma, Guohong Department of Physics Shanghai University Shanghai200444 China College of Electronics and Information Engineering Shandong University of Science and Technology Qingdao266590 China National Laboratory of Solid State Microstructures School of Physics Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210093 China School of Physics University of Wollongong WollongongNSW2522 Australia Terahertz Technology Innovation Research Institute Terahertz Spectrum and Imaging Technology Cooperative Innovation Center Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology 516 JunGong Road Shanghai200093 China STU SIOM Joint Laboratory for Superintense Lasers and the Applications Shanghai201210 China

As a newly emergent type-Ⅱ Dirac semimetal, Platinum Telluride (PtTe2) stands out from other 2D noble-transition-metal dichalcogenides for the unique band structure and novel physical properties, and has been studied extensively. However, the ultrafast response of low energy quasiparticle excitation in terahertz (THz) frequency remains nearly unexplored yet. Herein we employ optical pump-terahertz (THz) probe spectroscopy (OPTP) to systematically study the photocarrier dynamics of PtTe2 thin films with varying pump fluence, temperature, and film thickness. Upon photoexcitation the THz photoconductivity (PC) of PtTe2 films show abrupt increase initially, while the THz PC changes into negative value in a subpicosecond time scale, followed by a prolonged recovery process that lasted a few ns. The magnitude of both positive and negative THz PC response shows strongly pump fluence dependence. We assign the unusual negative THz PC to the formation of small polaron due to the strong electron-phonon (e-ph) coupling, which is further substantiated by temperature and film thickness dependent measurements. Moreover, our investigations give a subpicosecond time scale of sequential carrier cooling and polaron formation. The present study provides deep insights into the underlying dynamics evolution mechanisms of photocarrier in type-Ⅱ Dirac semimetal upon photoexcitation, which is crucial importance for designing PtTe2-based optoelectronic devices. Copyright © 2020, The Authors. All rights reserved.

关键词： Photoconductivity

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Geometric Filterless Photodetectors for Mid-infrared Spin Light

arXiv

引用

arXiv 2022年

作者： Wei, Jingxuan Chen, Yang Li, Ying Li, Wei Xie, Junsheng Lee, Chengkuo Novoselov, Kostya S. Qiu, Cheng-Wei Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore CAS Key Laboratory of Mechanical Behaviour and Design of Materials Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei230026 China Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University Hangzhou310027 China International Joint Innovation Center Key Lab of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Zhejiang University Haining314400 China GPL Photonics Lab State Key Laboratory of Applied Optics Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun130033 China Center for Intelligent Sensors and MEMS National University of Singapore Singapore117608 Singapore Institute for Functional Intelligent Materials National University of Singapore Singapore117544 Singapore

Free-space circularly polarized light (CPL) detection, requiring polarizers and waveplates, has been well established, while such spatial degree of freedom is unfortunately absent in integrated on-chip optoelectronics. So far, those reported filterless CPL photodetectors suffer from the intrinsic small discrimination ratio, vulnerability to the non-CPL field components, and low responsivity. Here, we report a distinct paradigm of geometric photodetectors in mid-infrared exhibiting colossal discrimination ratio, close-to-perfect CPL-specific response, a zero-bias responsivity of 392 V/W at room temperature, and a detectivity of ellipticity down to 0.03o Hz−1/2. Our approach employs plasmonic nanostructures array with judiciously designed symmetry, assisted by graphene ribbons to electrically read their near-field optical information. This geometry-empowered recipe for infrared photodetectors provides a robust, direct, strict, and high-quality solution to on-chip filterless CPL detection and unlocks new opportunities for integrated functional optoelectronic devices. Copyright © 2022, The Authors. All rights reserved.

关键词： Photodetectors

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MoSi2N4: An emerging 2D electronic material with protected band edge states and dielectric tunable quasiparticle and optical properties

arXiv

引用

arXiv 2021年

作者： Wu, Yabei Tang, Zhao Xia, Weiyi Gao, Weiwei Jia, Fanhao Zhang, Yubo Zhu, Wenguang Zhang, Wenqing Zhang, Peihong Department of Physics Shenzhen Institute for Quantum Science & Engineering Southern University of Science and Technology Guangdong Shenzhen518055 China Guangdong Provincial Key Lab for Computational Science and Materials Design Shenzhen Municipal Key Lab for Advanced Quantum Materials and Devices Southern University of Science and Technology Guangdong Shenzhen518055 China Icqd Hefei National Laboratory for Physical Science at the Microscale Key Laboratory of Strongly-Coupled Quantum Matter Physics Chinese Academy of Sciences Department of Physics Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of China Anhui Hefei230026 China Department of Physics University at Buffalo State University of New York BuffaloNY14260 United States Department of Physics Dalian University of Technology Liaoning Dalian116024 China International Centre for Quantum and Molecular Structures Materials Genome Institute Department of Physics Shanghai University 99 Shangda Road Shanghai200444 China

As it is the case for all low-dimensional materials, the low energy electronic structure of two-dimensional (2D) materials are inherently prone to environmental perturbations. While there are applications (e.g., sensors) that exploit this property, the fact that the band-edge states of 2D materials are susceptible to often unpredictable environmental coupling effects may pose significant challenges to their practical applications in electronic or optoelectronic devices. A 2D material couples with its environment through two mechanisms: local chemical coupling arising from the overlap and hybridization of wave functions, and nonlocal dielectric screening effects that renormalize the Coulomb interaction in the system. The local chemical coupling, which may arise from the (often unintentional) surface adsorption or interfacial chemical coupling, is difficult to predict or control experimentally. Nonlocal dielectric screening effects, on the other hand, can be tuned by choosing the substrates or layer thickness in a controllable manner. Therefore, a compelling 2D electronic material should offer band edge states that are robust against local chemical coupling effects. Here we demonstrate that the recently synthesized MoSi2N4is an ideal 2D semiconductor with robust band edge states protected from capricious environmental chemical coupling effects. We have carried out thorough density functional theory (DFT) and many-body perturbation theory (MBPT) calculations to illustrate how the band edge states of MoSi2N4are essentially shielded from direct chemical coupling to its environment, and, at the same time, the quasiparticle and optical properties of MoSi2N4can be modulated through the nonlocal dielectric screening effects. This unique property, together with the moderate band gap and the thermodynamic and mechanical stability of this material, may pave the way for a range of applications in areas including energy, 2D electronics, and optoelectronics. Copyright © 2021, The

关键词： Mechanical stability

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Neutron powder diffraction study on the non-superconducting phases of ThFeAsN1−xOx (x = 0.15, 0.6) iron pnictide

arXiv

引用

arXiv 2019年

作者： Mao, Huican Hu, Bingfeng Xia, Yuanhua Chen, Xiping Wang, Cao Wang, Zhicheng Cao, Guanghan Li, Shiliang Luo, Huiqian Department of Physics and Center for Advanced Quantum Studies Beijing Normal University Beijing100875 China Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing100190 China Key Laboratory of Neutron Physics Institute of Nuclear Physics and Chemistry China Academy of Engineering Physics Mianyang621999 China Department of Physics Shandong University of Technology Zibo255049 China Department of Physics State Key Lab of Silicon Materials Zhejiang University Hangzhou310027 China Collaborative Innovation Centre of Advanced Microstructures Nanjing210093 China Songshan Lake Materials Laboratory Dongguan Guangdong523808 China School of Physical Sciences University of Chinese Academy of Sciences Beijing100190 China

We use neutron powder diffraction to study on the non-superconducting phases of ThFeAsN1−xOx with x = 0.15, 0.6. In our previous results on the superconducting phase ThFeAsN with Tc = 30 K, no magnetic transition is observed by cooling down to 6 K, and possible oxygen occupancy at the nitrogen site is shown in the refinement(H. C. Mao et al., EPL, 117, 57005 (2017)). Here, in the oxygen doped system ThFeAsN1−xOx, two superconducting region (0 6 x 6 0.1 and 0.25 6 x 6 0.55) have been identified by transport experiments (B. Z. Li et al., J. Phys.: Condens. Matter 30, 255602 (2018)). However, within the resolution of our neutron powder diffraction experiment, neither the intermediate doping x = 0.15 nor the heavily overdoped compound x = 0.6 shows any magnetic order from 300 K to 4 K. Therefore, while it shares the common phenomenon of two superconducting domes as most of 1111-type iron-based superconductors, the magnetically ordered parent compound may not exist in this nitride family. Copyright © 2019, The Authors. All rights reserved.

关键词： Neutrons

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Erratum: “Design and test of a flat-top magnetic field system driven by capacitor banks” [Rev. Sci. Instrum. 85, 045106 (2014)]

引用

Review of Scientific Instruments 2014年第4期85卷

作者： Fan Jiang Tao Peng Houxiu Xiao Jianlong Zhao Yuan Pan Fritz Herlach Liang Li 1Wuhan National High Magnetic Field Center Huazhong University of Science and Technology Wuhan China 2State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China 3Katholieke Universiteit Leuven Celestijnenlaan 200D B-3001 Leuven Belgium

The original paper1 was published online on 7 April 2014, and the information of corresponding author and the electronic mail of corresponding author were misse

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