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检索条件"机构=Electrical and Computer Engineering Department Visual Computing Lab"
486 条 记 录,以下是131-140 订阅
排序:
Machine Learning and computer Vision Techniques in Continuous Beehive Monitoring Applications: A Survey
arXiv
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arXiv 2022年
作者: Bilik, Simon Zemcik, Tomas Kratochvila, Lukas Ricanek, Dominik Richter, Miloslav Zambanini, Sebastian Horak, Karel Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Technická 3058/10 Brno61600 Czech Republic Computer Vision and Pattern Recognition Laboratory Department of Computational Engineering Lappeenranta-Lahti University of Technology LUT Yliopistonkatu 34 Lappeenranta53850 Finland Computer Vision Lab Institute of Visual Computing & Human-Centered Technology Faculty of Informatics TU Wien Favoritenstr. 9/193-1 ViennaA-1040 Austria
Wide use and availability of machine learning and computer vision techniques allows development of relatively complex monitoring systems in many domains. Besides the traditional industrial domain, new applications app... 详细信息
来源: 评论
The Age of Synthetic Realities: Challenges and Opportunities
arXiv
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arXiv 2023年
作者: Cardenuto, João Phillipe Yang, Jing Padilha, Rafael Wan, Renjie Moreira, Daniel Li, Haoliang Wang, Shiqi Andaló, Fernanda Marcel, Sébastien Rocha, Anderson Artificial Intelligence Lab. Recod.ai Institute of Computing University of Campinas SP Campinas Brazil Department of Computer Science Hong Kong Baptist University Hong Kong Department of Computer Science Loyola University Chicago ChicagoIL United States Department of Electrical Engineering City University of Hong Kong Hong Kong Department of Computer Science City University of Hong Kong Hong Kong Idiap Research Institute Martigny Switzerland University of Lausanne Lausanne Switzerland
Synthetic realities are digital creations or augmentations that are contextually generated through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data to construct new narratives or r... 详细信息
来源: 评论
Reversible Graph Neural Network-based Reaction Distribution Learning for Multiple Appropriate Facial Reactions Generation
arXiv
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arXiv 2023年
作者: Xu, Tong Spitale, Micol Tang, Hao Liu, Lu Gunes, Hatice Song, Siyang The School of Computing and Mathematical Sciences University of Leicester LeicesterLE2 7RH United Kingdom The AFAR Lab Department of Computer Science and Technology University of Cambridge CambridgeCB3 0FT United Kingdom The Department of Information Technology and Electrical Engineering ETH Zurich Zurich8092 Switzerland
Generating facial reactions in a human-human dyadic interaction is complex and highly dependent on the context since more than one facial reactions can be appropriate for the speaker's behaviour. This has challeng... 详细信息
来源: 评论
AniGAN: Style-guided generative adversarial networks for unsupervised anime face generation
arXiv
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arXiv 2021年
作者: Li, Bing Zhu, Yuanlue Wang, Yitong Lin, Chia-Wen Ghanem, Bernard Shen, Linlin Visual Computing Center KAUST Thuwal Saudi Arabia ByteDance Shenzhen China Department of Electrical Engineering National Tsing Hua University Hsinchu Taiwan Computer Science and Software Engineering Shenzhen University Shenzhen China
In this paper, we propose a novel framework to translate a portrait photo-face into an anime appearance. Our aim is to synthesize anime-faces which are style-consistent with a given reference anime-face. However, unli... 详细信息
来源: 评论
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation
arXiv
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arXiv 2022年
作者: Wang, Xiangmeng Li, Qian Yu, Dianer Cui, Peng Wang, Zhichao Xu, Guandong Data Science and Machine Intelligence Lab Faculty of Engineering and Information Technology University of Technology Sydney NSW Australia The School of Electrical Engineering Computing and Mathematical Sciences Curtin University Perth Australia School of Electrical Engineering and Telecommunications University of New South Wales Sydney Australia The Department of Computer Science and Technology Tsinghua University Beijing100084 China
Traditional recommendation models trained on observational interaction data have generated large impacts in a wide range of applications, it faces bias problems that cover users’ true intent and thus deteriorate the ... 详细信息
来源: 评论
MCLA Task Offloading Framework for 5G-NR-V2X Based Heterogeneous VECNs
TechRxiv
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TechRxiv 2023年
作者: Mirza, Muhammad Ayzed Yu, Junsheng Raza, Salman Ahmed, Manzoor Asif, Muhammad Irshad, Azeem Kumar, Neeraj BUPT-QMUL EM Theory and Application International Research Lab Beijing University of Posts and Telecommunications Beijing100876 China School of Physics and Electronic Information Anhui Normal University Wuhu241003 China School of Intelligence and Digital Engineering Luoyang Vocational College of Science and Technology Luoyang471000 China Department of Computer Science National Textile University Faisalabad Pakistan School of Computer and Information Science Institute for AI Industrial Technology Research Hubei Engineering University Xiaogan432000 China Faculty of Computer Science Asghar Mall College Govt. of the Punjab Rawalpindi Pakistan Department of Computer Science and Engineering Thapar Institute of Engineering and Technology Punjab Patiala India Department of Computer Engineering Graphics Era University Uttarakhand Dehradun India School of Computer Science University of Petroleum and Energy Studies Uttarakhand Dehradun India Department of Computer Science and Engineering Chandigarh University Gharuan Mohali India Department of Electrical and Computer Engineering Lebanese American University Beirut Lebanon Faculty of Computing and IT King Abdulaziz University Jeddah Saudi Arabia
Ensuring dependable quality of service (QoS) and quality of experience (QoE) for computation-intensive and delay-sensitive applications in vehicles can be a challenging task that impacts performance. While multi-acces... 详细信息
来源: 评论
Sliding Mode Control of the PUMA 560 Robot
Sliding Mode Control of the PUMA 560 Robot
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International Conference on Control, Automation and Diagnosis (ICCAD)
作者: Arezki Fekik Ahmad Taher Azar Mohamed Lamine Hamida Hakim Denoun Dyhia Kais Sabrina Mohand Saidi Amar Bousbaine Nashwa Ahmad Kamal Ammar K. Al Mhdawi Chakib Ben Njima Department of Electrical Engineering University Akli Mohand Oulhadj-Bouria Bouira Algeria Electrical Engineering Advanced Technology Laboratory (LATAGE) Algeria Automated Systems & Soft Computing Lab (ASSCL) Prince Sultan University Riyadh Saudi Arabia College of Computer & Information Sciences Prince Sultan University Riyadh Saudi Arabia Faculty of Computers and Artificial Intelligence Benha University Egypt Department of Electrical Engineering L2CSP Laboratory Mouloud Mammeri University Algeria University of Derby College of Science and Engineering UK Faculty of Engineering Cairo University Giza Egypt Edge Hill University U.K University of Sousse Tunisia
The purpose of this article is to present the application of the sliding mode control and investigate its effectiveness when applied to a three-dimensional robotic manipulator model. The analysis is based on the appli...
来源: 评论
Multi-Robot System for Autonomous Cooperative Counter-UAS Missions: Design, Integration, and Field Testing
Multi-Robot System for Autonomous Cooperative Counter-UAS Mi...
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IEEE International Workshop on Safety, Security, and Rescue Robotics (SSRR)
作者: Antonella Barisic Marlan Ball Noah Jackson Riley McCarthy Nasib Naimi Luca Strässle Jonathan Becker Maurice Brunner Julius Fricke Lovro Markovic Isaac Seslar David Novick Jonathan Salton Roland Siegwart Stjepan Bogdan Rafael Fierro Laboratory for Robotics and Intelligent Control Systems (LAR-ICS) Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Electrical and Computer Engineering Department University of New Mexico Albuquerque NM USA ETH Zurich Autonomous Systems Lab (ASL) Zurich Switzerland Sandia National Laboratories Albuquerque New Mexico USA
With the rapid development of technology and the proliferation of uncrewed aerial systems (UAS), there is an immediate need for security solutions. Toward this end, we propose the use of a multi-robot system for auton... 详细信息
来源: 评论
Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization Problem
arXiv
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arXiv 2022年
作者: Lin, Ruiyuan Liu, Sheng Jiang, Jun Li, Shujun Li, Chengqing Kuo, C.-C. Jay Multimedia Communication Lab Department of Electrical and Computer Engineering University of Southern California United States School of Computer Science and Electronic Engineering Hunan University Hunan Changsha410082 China School of Software & Microelectronics Peking University China School of Computing University of Kent United Kingdom School of Computer Science Xiangtan University Hunan Xiangtan411105 China
Recovering unknown, missing, damaged, distorted, or lost information in DCT coefficients is a common task in multiple applications of digital image processing, including image compression, selective image encryption, ... 详细信息
来源: 评论
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
arXiv
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arXiv 2022年
作者: Betz, Johannes Zheng, Hongrui Liniger, Alexander Rosolia, Ugo Karle, Phillip Behl, Madhur Krovi, Venkat Mangharam, Rahul Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia United States Department of Information Technology and Electrical Engineering ETH Zurich Switzerland AMBER Lab California Institute of Technology Pasadena United States Institute of Automotive Technology Technical University of Munich Germany Department of Computer Science University of Virginia Charlottesville United States College of Engineering Computing and Applied Sciences Clemson University Clemson United States
The rising popularity of self-driving cars has led to the emergence of a new research field in the recent years: Autonomous racing. Researchers are developing software and hardware for high performance race vehicles w... 详细信息
来源: 评论