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NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results

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NTIRE 2023 Challenge on Efficient Super-Resolution: Methods ...

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

作者： Li, Yawei Zhang, Yulun Timofte, Radu Van Gool, Luc Yu, Lei Li, Youwei Li, Xinpeng Jiang, Ting Wu, Qi Han, Mingyan Lin, Wenjie Jiang, Chengzhi Luo, Jinting Fan, Haoqiang Liu, Shuaicheng Wang, Yucong Cai, Minjie Li, Mingxi Zhang, Yuhang Fan, Xian-Jun Sheng, Yankai Mao, Yanyu Zhang, Nihao Wang, Qian Zheng, Mingjun Sun, Long Pan, Jinshan Dong, Jiangxin Tang, Jinhui Yang, Zhongbao Wang, Yan Pan, Erlin Cai, Qixuan Dai, Xinan Zhussip, Magauiya Kalyazin, Nikolay Vyal, Dmitry Zou, Xueyi Yan, Youliang Chung, Heaseo Zhang, Jin Yu, Gaocheng Zhang, Feng Wang, Hongbin Liao, Bohao Du, Zhibo Wu, Yu-Liang Shi, Gege Peng, Long Wang, Yang Cao, Yang Zha, Zhengjun Huang, Zhi-Kai Chen, Yi-Chung Chiang, Yuan-Chun Yang, Hao-Hsiang Chen, Wei-Ting Chang, Hua-En Chen, I-Hsiang Hsieh, Chia-Hsuan Kuo, Sy-Yen Liu, Xin Pan, Jiahao Yu, Hongyuan Yu, Weichen Ge, Lin Dong, Jiahua Zou, Yajun Wu, Zhuoyuan Han, Binnan Zhang, Xiaolin Zhang, Heng Yin, Xuanwu Zuo, Kunlong Deng, Weijian Yuan, Hongjie Lu, Zengtong Ouyang, Mingyu Ma, Wenzhuo Liu, Nian Zheng, Hanyou Zhang, Yuantong Zhang, Junxi Chen, Zhenzhong Gendy, Garas Sabor, Nabil Hou, Jingchao He, Guanghui Zhu, Yurui Wang, Xi Fu, Xueyang Zha, Zheng-Jun Yin, Daheng Liu, Mengyang Chen, Baijun Li, Ao Luo, Lei Jin, Kangjun Zhu, Ce Zhang, Xiaoming Xie, Chengxing Li, Linze Meng, Haiteng Zhang, Tianlin Li, Tianrui Zhao, Xiaole Zhang, Zhao Li, Baiang Zheng, Huan Zhao, Suiyi Gao, Yangcheng Ren, Jiahuan Hu, Kang Shi, Jingpeng Wu, Zhijian Huang, Dingjiang Zhu, Jinchen Li, Hui Xv, Qianru Liu, Tianle Weng, Shizhuang Wu, Gang Jiang, Junpeng Liu, Xianming Jiang, Junjun Zhang, Mingjian Hu, Jing Wu, Chengxu Fan, Qinrui Feng, Chengming Luo, Ziwei Hu, Shu Lyu, Siwei Wu, Xi Wang, Xin Computer Vision Lab ETH Zurich Switzerland Computer Vision Lab University of Würzburg Germany Megvii Technology China MicroBT China College of Computer Science and Electronic Engineering Hunan University China Attrsense Xian University of Posts and Telecommunications Xi'an China National Engineering Laboratory for Cyber Event Warning and Control Technologies China Nanjing University of Science and Technology China Nankai University China University of Electronic Science and Technology of China China Tianjin University China Noah's Ark Lab Huawei Technologies McMaster University Canada Espresomedia Korea Republic of AntGroup China University of Science and Technology of China China Department of Electrical Engineering National Taiwan University Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan Graduate Institute of Electronics Engineering National Taiwan University Taiwan ServiceNow United States China Mobile Research Institute China Chongqing University of Technology China Multimedia Department Xiaomi Inc. China Institute of Automation Chinese Academy of Sciences China Shenyang Institute of Automation Chinese Academy of Sciences China School of Information and Communication Engineering Communication University of China China Smart Classroom Division Ruijie Networks Co. Ltd. China School of Remote Sensing and Information Engineering Wuhan University China Micro-Nano Electronics Department Shanghai Jiao Tong University Shanghai200240 China Electrical Engineering Department Faculty of Engineering Assiut University Assiut71516 Egypt Southeast University China University of Electronic Science and Technology of China Chengdu China Chongqing University of Posts and Telecommunications Chongqing China Information Technology Co. Ltd Hangzhou China Southwest Jiaotong University China National Space Science Center Chinese Academy of Science China Hefei University of Technology Hefei China Anhui University China Fried Ric

ISBN: (纸本)9798350302493

This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a network that reduces one or several aspects such as runtime, parameters, FLOPs, activations, memory footprint, and depth of RFDN while at least maintaining the PSNR of 29.00dB on DIV2K validation datasets. The challenge had 272 registered participants, and 35 teams made valid submissions. They gauge the state-of-the-art for efficient single-image super-resolution. © 2023 IEEE.

关键词： Optical resolving power

Master equation emulation and coherence preservation with classical control of a superconducting qubit

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Physical Review A 2022年第6期106卷 062620-062620页

作者： Evangelos Vlachos Haimeng Zhang Vivek Maurya Jeffrey Marshall Tameem Albash E. M. Levenson-Falk Department of Physics and Astronomy Dornsife College of Letters Arts and Sciences University of Southern California Los Angeles California 90089 USA Center for Quantum Information Science & Technology University of Southern California Los Angeles California 90089 USA Department of Electrical Engineering Viterbi School of Engineering University of Southern California Los Angeles California 90089 USA Quantum Artificial Intelligence Laboratory (QuAIL) NASA Ames Research Center Moffett Field California 94035 USA USRA Research Institute for Advanced Computer Science (RIACS) Mountain View California 94043 USA Department of Electrical and Computer Engineering University of New Mexico Albuquerque New Mexico 87131 USA Department of Physics and Astronomy and Center for Quantum Information and Control University of New Mexico Albuquerque New Mexico 87131 USA

Open quantum systems are a topic of intense theoretical research. The use of master equations to model a system's evolution subject to an interaction with an external environment is one of the most successful theoretical paradigms. General experimental tools to study different open system realizations have been limited, and so it is highly desirable to develop experimental tools which emulate diverse master equation dynamics and give a way to test open systems theories. In this paper we demonstrate a systematic method for engineering specific system-environment interactions and emulating master equations of a particular form using classical stochastic noise in a superconducting transmon qubit. We also demonstrate that non-Markovian noise can be used as a resource to extend the coherence of a quantum system and counteract the adversarial effects of Markovian environments.

关键词： Open quantum systems & decoherence Quantum control Quantum engineering Quantum simulation Superconducting qubits Quantum master equation

Metabolic and oxidative responses in Helix aspersa to iron oxide nanoparticle exposure: individual and combined (Fe₂O₃/SiO₂) effects

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Journal of Nanoparticle research 2025年第6期27卷 1-14页

作者： Benamara, Amel Grara, Nedjoud Bensoltane, Samira Bouchaala, Laid Laouar, Amel Grara, Kamila Hemmami, Hadia Abdelghani, Boudjahem Aslam, Ali Abbas Ahmed, Mahmood Laboratory of Cellular Toxicology Faculty of Sciences University of Badji Mokhtar Annaba 23000 Algeria Department of Applied Biology Echahid Cheikh Larbi Tebessi University Tebessa 12400 Algeria Laboratory of Molecular and Cellular Biology Faculty of Natural and Life Sciences Earth and Universe Sciences P.O. Box 401 University 8 May 1945 Guelma Algeria Faculty of Medicine University of Badji Mokhtar Annaba 23000 Algeria Division of Environmental Innovation and Eco-Waste Management Environmental Research Center (CRE) Annaba Algeria Laboratory of Biochemistry and Environmental Toxicology Faculty of Sciences University of Badji Mokhtar Annaba 23000 Algeria Laboratory of Analysis and Control of Differential Equations Department of Mathematics P.O. Box 401 University 8 May 1945 Guelma 24000 Algeria Department of Process Engineering and Petrochemical Faculty of Technology University of El Oued P.O. Box 789 El Oued 39000 Algeria Faculty of Mathematics Computer and Materials Sciences Department of Materials Science Universityof 8 Mai Guelma 1945 Algeria Department of Chemistry Division of Science and Technology University of Education Lahore 54770 Pakistan

This study evaluates the toxicity of iron oxide nanoparticles (Fe2O3 NPs) alone and in combination with silica nanoparticles (SiO2 NPs) on Helix aspersa. Snails were exposed to escalating concentrations (0, 5000, 10,0... 详细信息

This study evaluates the toxicity of iron oxide nanoparticles (Fe₂O₃ NPs) alone and in combination with silica nanoparticles (SiO₂ NPs) on Helix aspersa. Snails were exposed to escalating concentrations (0, 5000, 10,000, 15,000 μg/g of flour) of Fe₂O₃ NPs and a mixture of Fe₂O₃ and SiO₂ NPs for 28 days to assess impacts on metabolic parameters, oxidative stress, and neurotoxicity. Fe₂O₃ NPs significantly increased protein levels;the mixture exhibited a more pronounced effect, with significantly increased protein levels, particularly in the hepatopancreas and kidneys. Lipid levels generally decreased across all treatments, suggesting significant metabolic disruption. Carbohydrate responses were tissue-specific and differed significantly between single and combined exposures, highlighting complex responses to nanoparticle treatments. Malondialdehyde (MDA), a marker of lipid peroxidation, demonstrated a significant increase in all treatments compared to the control group. The mixture treatment caused divergent MDA responses, with higher levels observed in the hepatopancreas and lower levels in the kidneys than in single NP treatments. Glutathione (GSH) levels showed complex tissue-specific changes with mixture exposure, with reductions in the hepatopancreas and increases in the kidney. Furthermore, glutathione S-transferase (GST), catalase (CAT), and glutathione peroxidase (GPx) were altered, reflecting cellular stress responses. Notably, acetylcholinesterase (AChE) activity, a marker of neurotoxicity, was significantly reduced in all treated groups. These findings demonstrate that Fe₂O₃ NPs, individually and combined with SiO₂ NPs, induce significant metabolic dysregulation, oxidative stress, and neurotoxicity in H. aspersa. This study underscores the potential ecological risks of NPs contamination and the importance of further

关键词： Helix aspersa Iron Nanoparticles Oxidative stress Silica Toxicity

Structural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates

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arXiv 2024年

作者： Okabe, Ryotaro Cheng, Mouyang Chotrattanapituk, Abhijatmedhi Hung, Nguyen Tuan Fu, Xiang Han, Bowen Wang, Yao Xie, Weiwei Cava, Robert J. Jaakkola, Tommi S. Cheng, Yongqiang Li, Mingda Quantum Measurement Group Massachusetts Institute of Technology CambridgeMA United States Department of Chemistry Massachusetts Institute of Technology CambridgeMA United States Department of Materials Science and Engineering Massachusetts Institute of Technology CambridgeMA United States Center for Computational Science & Engineering Massachusetts Institute of Technology CambridgeMA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States Department of Nuclear Science and Engineering Massachusetts Institute of Technology CambridgeMA United States Frontier Research Institute for Interdisciplinary Sciences Tohoku University Sendai980-8578 Japan Chemical Spectroscopy Group Spectroscopy Section Neutron Scattering Division Oak Ridge National Laboratory Oak RidgeTN United States Department of Chemistry Emory University AtlantaGA United States Department of Chemistry Michigan State University East LansingMI United States Department of Chemistry Princeton University PrincetonNJ United States

Billions of organic molecules are known, but only a tiny fraction of the functional inorganic materials have been discovered, a particularly relevant problem to the community searching for new quantum materials. Recent advancements in machine-learning-based generative models, particularly diffusion models, show great promise for generating new, stable materials. However, integrating geometric patterns into materials generation remains a challenge. Here, we introduce Structural Constraint Integration in the GENerative model (SCIGEN). Our approach can modify any trained generative diffusion model by strategic masking of the denoised structure with a diffused constrained structure prior to each diffusion step to steer the generation toward constrained outputs. Furthermore, we mathematically prove that SCIGEN effectively performs conditional sampling from the original distribution, which is crucial for generating stable constrained materials. We generate eight million compounds using Archimedean lattices as prototype constraints, with over 10% surviving a multi-staged stability pre-screening. High-throughput density functional theory (DFT) on 26,000 survived compounds shows that over 50% passed structural optimization at the DFT level. Since the properties of quantum materials are closely related to geometric patterns, our results indicate that SCIGEN provides a general framework for generating quantum materials candidates. © 2024, CC BY.

关键词： Structural optimization

Fuzzy Sandwich control of Some Nonlinear Systems with a Number of Stochastically Occurring Impulses

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Fuzzy Sandwich Control of Some Nonlinear Systems with a Numb...

International Conference on Information science and Technology (ICIST)

作者： Babatunde Oluwaseun Onasanya Yuming Feng Xiangguang Dai Wei Zhang School of Computer Science and Engineering Chongqing Three Gorges University Wanzhou Chongqing China Department of Mathematics University of Ibadan Ibadan Nigeria Three Gorges Institute of Artificial Intelligence Chongqing Three Gorges University Wanzhou Chongqing China Chongqing Engineering Research Center of Internet of Things and Intelligent Control Technology Chongqing Three Gorges University Wanzhou Chongqing China Key Laboratory of Intelligent Information Processing and Control Chongqing Three Gorges University Wanzhou Chongqing China

In this paper, rather than have a fixed constant matrix in the sandwich control of the nonlinear system, a fuzzy control matrix was used. In addition, simple inequalities that do not require additional computational time and skills in computer programming were used rather than the usual LMI. The result of this method is that the period T required in the control process is shorter and the control time is also reached much faster or reduced compared to the existing sandwich methods that used constant matrices. In other words, the control time of this method is shorter than the control time achieved when using constant matrices. Besides, this method also can be used to control more nonlinear chaotic systems such as Lorenz's, Rossler's and Chen's systems. Numerical simulations were used to demonstrate the effectiveness of this method.

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Joint Optimization of Resource Allocation and User Association in Multi-Frequency Cellular Networks Assisted by RIS

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arXiv 2023年

作者： Qiao, Yuanyuan Niu, Yong Han, Zhu Mao, Shiwen He, Ruisi Wang, Ning Zhong, Zhangdui Ai, Bo The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications 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 The Department of Electrical and Computer Engineering Auburn University AuburnAL36849-5201 United States The School of Information Engineering Zhengzhou University Zhengzhou450001 China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China

Due to the development of communication technology and the rise of user network demand, a reasonable resource allocation for wireless networks is the key to guaranteeing regular operation and improving system performance. Various frequency bands exist in the natural network environment, and heterogeneous cellular network (HCN) has become a hot topic for current research. Meanwhile, Reconfigurable Intelligent Surface (RIS) has become a key technology for developing next-generation wireless networks. By modifying the phase of the incident signal arriving at the RIS surface, RIS can improve the signal quality at the receiver and reduce co-channel interference. In this paper, we develop a RIS-assisted HCN model for a multi-base station (BS) multi-frequency network, which includes 4G, 5G, millimeter wave (mmwave), and terahertz networks, and considers the case of multiple network coverage users, which is more in line with the realistic network characteristics and the concept of 6G networks. We propose the optimization objective of maximizing the system sum rate, which is decomposed into two subproblems, i.e., the user resource allocation and the phase shift optimization problem of RIS components. Due to the NP-hard and coupling relationship, we use the block coordinate descent (BCD) method to alternately optimize the local solutions of the coalition game and the local discrete phase search algorithm to obtain the global solution. In contrast, most previous studies have used the coalition game algorithm to solve the resource allocation problem alone. Simulation results show that the algorithm performs better than the rest of the algorithms, effectively improves the system sum rate, and achieves performance close to the optimal solution of the traversal algorithm with low complexity. Copyright © 2023, The Authors. All rights reserved.

关键词： Resource allocation

Manipulating Fano coupling in an opto-thermoelectric field

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arXiv 2024年

作者： Lin, Linhan Lepeshov, Sergey Krasnok, Alex Huang, Yu Jiang, Taizhi Peng, Xiaolei Korgel, Brian A. Alu, Andrea Zheng, Yuebing State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision Instrument Tsinghua University Beijing100084 China Department of Electrical and Photonics Engineering DTU Electro Technical University of Denmark Building 343 Kgs. LyngbyDK-2800 Denmark Department of Electrical and Computer Engineering Florida International University MiamiFL33174 United States School of Physics and Electronics Hunan University Changsha410082 China Mc Ketta Department of Chemical Engineering The University of Texas at Austin AustinTX78712 United States Materials Science & Engineering Program Texas Materials Institute The University of Texas at Austin AustinTX78712 United States Department of Electrical and Computer Engineering The University of Texas at Austin AustinTX78712 United States Advanced Science Research Center City University of New York New YorkNY10031 United States Physics Program Graduate Center City University of New York NY10016 United States Walker Department of Mechanical Engineering The University of Texas at Austin AustinTX78712 United States

Fano resonances in photonics arise from the coupling and interference between two resonant modes in structures with broken symmetry. They feature an uneven and narrow and tunable lineshape, and are ideally suited for optical spectroscopy. Many Fano resonance structures have been suggested in nanophotonics over the last ten years, but reconfigurability and tailored design remain challenging. Herein, we propose an all-optical "pick-and-place" approach aimed at assemble Fano metamolecules of various geometries and compositions in a reconfigurable manner. We study their coupling behavior by in-situ dark-field scattering spectroscopy. Driven by a light-directed opto-thermoelectric field, silicon nanoparticles with high quality-factor Mie resonances (discrete states) and low-loss BaTiO3 nanoparticles (continuum states) are assembled into all-dielectric heterodimers, where distinct Fano resonances are observed. The Fano parameter can be adjusted by changing the resonant frequency of the discrete states or the light polarization. We also show tunable coupling strength and multiple Fano resonances by altering the number of continuum states and discrete states in dielectric heterooligomers. Our work offers a general design rule for Fano resonance and an all-optical platform for controlling Fano coupling on demand. Copyright © 2024, The Authors. All rights reserved.

关键词： Light polarization

Visuotactile Sensor Enabled Pneumatic Device Towards Compliant Oropharyngeal Swab Sampling

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arXiv 2023年

作者： Li, Shoujie He, Mingshan Ding, Wenbo Ye, Linqi Wang, Xueqian Tan, Junbo Yuan, Jinqiu Zhang, Xiao-Ping Tsinghua Shenzhen International Graduate School Shenzhen518055 China The Department of Mechanical Engineering Seoul National University Seoul Korea Republic of The Department of Intelligent Control Qianyuan Institute of Science Hangzhou310024 China Clinical Research Center The Seventh Affiliated Hospital Sun Yat-sen University Guangdong Shenzhen518107 China The Department of Electrical Computer and Biomedical Engineering Ryerson University TorontoONM5B 2K3 Canada

Manual oropharyngeal (OP) swab sampling is an intensive and risky task. In this article, a novel OP swab sampling device of low cost and high compliance is designed by combining the visuo-tactile sensor and the pneumatic actuator-based gripper. Here, a concave visuo-tactile sensor called CoTac is first proposed to address the problems of high cost and poor reliability of traditional multi-axis force sensors. Besides, by imitating the doctor’s fingers, a soft pneumatic actuator with a rigid skeleton structure is designed, which is demonstrated to be reliable and safe via finite element modeling and experiments. Furthermore, we propose a sampling method that adopts a compliant control algorithm based on the adaptive virtual force to enhance the safety and compliance of the swab sampling process. The effectiveness of the device has been verified through sampling experiments as well as in vivo tests, indicating great application potential. The cost of the device is around 30 US dollars and the total weight of the functional part is less than 0.1 kg, allowing the device to be rapidly deployed on various robotic arms. Videos, hardware, and source code are available at: https://***/view/swab-sampling/. Copyright © 2023, The Authors. All rights reserved.

关键词： Pneumatic actuators

Enhancement of quantum heat engine by encircling a Liouvillian exceptional point

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arXiv 2023年

作者： Bu, J.-T. Zhang, J.-Q. Ding, G.-Y. Li, J.-C. Zhang, J.-W. Wang, B. Ding, W.-Q. Yuan, W.-F. Chen, L. Özdemir, S.K. Zhou, F. Jing, H. Feng, M. State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Wuhan Institute of Physics and Mathematics Innovation Academy of Precision Measurement Science and Technology Chinese Academy of Sciences Wuhan430071 China University of the Chinese Academy of Sciences Beijing100049 China Research Center for Quantum Precision Measurement Guangzhou Institute of Industry Technology Guangzhou511458 China Department of Engineering Science and Mechanics Materials Research Institute Pennsylvania State University University Park State CollegePA16802 United States Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha410081 China School of Physics Zhengzhou University Zhengzhou450001 China

Quantum heat engines are expected to outperform the classical counterparts due to quantum coherences involved. Here we experimentally execute a single-ion quantum heat engine and demonstrate, for the first time, the dynamics and the enhanced performance of the heat engine originating from the Liouvillian exceptional points (LEPs). In contrast to the topological effects solely concerned for the LEPs, here we focus on the thermodynamic effects, which can be understood by the Landau-Zener-Stückelberg process under decoherence. We witness a positive net work from the quantum heat engine if the heat engine cycle dynamically encircles an LEP. Further investigation reveals that, under the same circumstance of the heat engine cycles, the largest net work occurs when the system is operated close to the LEP. We argue that our observation of the enhanced performance of the quantum heat engine benefits from the eigen-energy landscape close to the LEP and the topological transition induced by the LEP. Therefore, our results open a new possibility to explore the advantages of the LEPs in quantum systems from both the thermodynamic and topological aspects. © 2023, CC BY.

关键词： Topology