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检索条件"机构=School of Engineering and Design and Institute of Robotics and Machine Intelligence"
312 条 记 录,以下是121-130 订阅
EEG Emotion Recognition Based on Dynamical Graph Attention Network
EEG Emotion Recognition Based on Dynamical Graph Attention N...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Yi Guo Chao Tang Hao Wu Badong Chen National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and Applications and Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Xi’an China School of Electrical Engineering Xi’an University of Technology Xi’an China
Emotion recognition based on electroencephalography (EEG) signals is one of the current research challenges in this field. In order to learn the optimal graph structure information for each subject, we propose a dynam...
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From Human Hand to Grasp Surface Detection, Tracking & Analysis
From Human Hand to Grasp Surface Detection, Tracking & Analy...
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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)
作者: Diego Hidalgo-Carvajal Abdeldjallil Naceri Sami Haddadin Technical University of Munich Germany Department of Computer Engineering TUM School of Computation Information and Technology Chair of Robotics and Systems Intelligence (RSI) Munich Institute of Robotics and Machine Intelligence (MIRMI) Centre for Tactile Internet With Human-in-the-Loop (CeTI)
Hands are paramount for dexterous interactions that humans exhibit in daily life. Understanding the intricacies of human hand-object interactions is therefore necessary. Unfortunately, the limitations of state-of-the-...
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Unveiling the Hidden Impact of Self-Heating on Ferroelectric FinFET and FDSOI based In-Memory Computing
Unveiling the Hidden Impact of Self-Heating on Ferroelectric...
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IEEE Electron Devices Technology and Manufacturing Conference (EDTM)
作者: Swetaki Chatterjee Nistha Baruah Swati Deshwal Anirban Kar Om Prakash Shivendra Singh Parihar Yogesh Singh Chauhan Hussam Amrouch Indian Institute of Technology Kanpur India University of Stuttgart Germany NIT Silchar India Technical University of Munich TUM School of Computation Information and Technology Chair of AI Processor Design Munich Institute of Robotics and Machine Intelligence Munich Germany
Ferroelectric Field-Effect Transistors (FeFETs) having the same structure as normal transistors are affected by self-heating. Consequently, there is a reduction in the ON current and a decrease in the sensing margin w...
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Heterogeneous Integration of Advanced CMOS and Emerging Devices: Challenges and Solutions
Heterogeneous Integration of Advanced CMOS and Emerging Devi...
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IEEE European Test Symposium (ETS)
作者: Leticia M. Bolzani Pöhls André L. Chinazzo Mahdi Benkhelifa Anirban Kar Hussam Amrouch Milos Krstic IHP – Leibniz Institute for High Performance Microelectronics Frankfurt Oder Germany Chair of AI Processor Design Technical University of Munich TUM School of Computation Information and Technology Munich Institute of Robotics and Machine Intelligence Munich Germany Potsdam University Potsdam Germany
The heterogeneous integration of advanced CMOS and emerging technology-based circuits as well as of chiplets at package level present promising avenues to meet the high computational intensity demands of AI applicatio... 详细信息
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Fast Multi-Class Vehicle Cooperative Path Optimization in Complex Urban V2X Transportation: A Novel Parallel Multi-Agent Reinforcement Learning Approach
Fast Multi-Class Vehicle Cooperative Path Optimization in Co...
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IEEE Symposium on Intelligent Vehicle
作者: Shitao Chen Shuyang Cai Ziheng Tang Donghe Li Nanning Zheng National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and Applications and Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Xi’an China School of Automation Science and Engineering Xi’an Jiaotong University China
Urban road traffic systems are advancing into sophisticated networks, underscoring the importance of real-time collaborative decision-making. This study tackles the intricate challenge of cooperative path planning und... 详细信息
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Improving Equine Intramedullary Nail Osteosynthesis via Fracture Adjacent Polymer Reinforcement
Improving Equine Intramedullary Nail Osteosynthesis via Frac...
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作者: Lang, Jan J. Baylacher, Veronika Micheler, Carina M. Wilhelm, Nikolas J. Hinterwimmer, Florian Schwaiger, Benedikt Barnewitz, Dirk von Eisenhart-Rothe, Rüdiger Grosse, Christian U. Burgkart, Rainer Munich Germany Department of Orthopedics and Sports Orthopedics School of Medicine TUM Munich Germany Institute for Machine Tools and Industrial Management School of Engineering and Design TUM Munich Germany Munich Institute of Robotics and Machine Intelligence Department of Electrical and Computer Engineering TUM Munich Germany School of Medicine Institute for AI and Informatics in Medicine TUM Munich Germany Department of Diagnostic and Interventional Neuroradiology School of Medicine TUM Munich Germany Research Centre of Medical Technology and Biotechnology Bad Langensalza Germany Non-destructive Testing Department of Mechanical Engineering TUM Munich Germany
Introduction: Osteosynthesis of the equine femur is still a challenge for veterinary medicine. Even though intramedullary fracture fixation is possible nowadays, the varying geometry of the medullary cavity along the ... 详细信息
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QDP: Learning to Sequentially Optimise Quasi-Static and Dynamic Manipulation Primitives for Robotic Cloth Manipulation
arXiv
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arXiv 2023年
作者: Blanco-Mulero, David Alcan, Gokhan Abu-Dakka, Fares J. Kyrki, Ville School of Electrical Engineering Aalto University Finland Munich Institute of Robotics and Machine Intelligence Technische Universität München München80992 Germany
Pre-defined manipulation primitives are widely used for cloth manipulation. However, cloth properties such as its stiffness or density can highly impact the performance of these primitives. Although existing solutions... 详细信息
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Unsupervised Video Anomaly Detection by Learning Consistency of Appearance and Motion
Unsupervised Video Anomaly Detection by Learning Consistency...
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Chinese Automation Congress (CAC)
作者: Yanlong Li Zhenhao Ye Yang Wang Chi Zhang Yuehu Liu School of Software Engineering College of Artificial Intelligence National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and Applications Institute of Artificial Intelligence and Robotics Xian Jiaotong University Xi'an China
Unsupervised video anomaly detection aims to train the model on unlabeled videos containing only normal behavior and identify data instances with abnormal objects or behaviors as anomalies. Abnormal events are typical...
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Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging
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IEEE Transactions on Medical Imaging 2025年 第7期44卷 3076-3088页
作者: Yuanhao Li Badong Chen Zhongxu Hu Keita Suzuki Wenjun Bai Yasuharu Koike Okito Yamashita Center for Advanced Intelligence Project RIKEN Tokyo Japan Department of Computational Brain Imaging Advanced Telecommunications Research Institute International Kyoto Japan National Key Laboratory of Human–Machine Hybrid Augmented Intelligence the National Engineering Research Center for Visual Information and Applications Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Xi’an China School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China Institute of Integrated Research Institute of Science Tokyo Yokohama Japan
Bayesian learning provides a unified skeleton to solve the electrophysiological source imaging task. From this perspective, existing source imaging algorithms utilize the Gaussian assumption for the observation noise ... 详细信息
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Towards Generalizable Multi-Object Tracking
Towards Generalizable Multi-Object Tracking
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Zheng Qin Le Wang Sanping Zhou Panpan Fu Gang Hua Wei Tang National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and Applications Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University School of Software Engineering Xi'an Jiaotong University Wormpex AI Research University of Illinois at Chicago
Multi-Object Tracking (MOT) encompasses various tracking scenarios, each characterized by unique traits. Ef-fective trackers should demonstrate a high degree of gen-eralizability across diverse scenarios. However, exi... 详细信息
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