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检索条件"机构=Institute of artificial intelligence and robotics"
3915 条 记 录,以下是21-30 订阅
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Dataflow Accelerator Architecture for Autonomous Machine Computing (Invited Paper)  24
Dataflow Accelerator Architecture for Autonomous Machine Com...
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43rd International Conference on Computer-Aided Design, ICCAD 2024
作者: Liu, Shaoshan Zhu, Yuhao Yu, Bo Gaudiot, Jean-Luc Gao, Guang R. Shenzhen Institute of Artificial Intelligence and Robotics for Society China University of Rochester United States University of California Irvine United States University of Delaware United States
Commercial autonomous machines is a thriving sector, one that is likely the next ubiquitous computing platform, after Personal Computers (PC), cloud computing, and mobile computing. Nevertheless, a suitable computing ... 详细信息
来源: 评论
Class Relevance Learning for Out-of-Distribution Detection
Class Relevance Learning for Out-of-Distribution Detection
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Zhou, Liguang Xiong, Butian Lam, Tin Lun Xu, Yangsheng School of Science and Engineering The Chinese University of Hong Kong Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics for Society The Chinese University of Hong Kong Shenzhen China
Image classification plays a pivotal role across diverse robotic applications, yet challenges persist when models are deployed in real-world scenarios. These models often fail to detect out-of-distribution (OOD) sampl... 详细信息
来源: 评论
Partial Channel Network: Compute Fewer, Perform Better
arXiv
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arXiv 2025年
作者: Huang, Haiduo Xia, Tian Zhao, Wenzhe Ren, Pengju Xi’an Jiaotong University Institute of Artificial Intelligence and Robotics China
Designing a module or mechanism that enables a network to maintain low parameters and FLOPs without sacrificing accuracy and throughput remains a challenge. To address this challenge and exploit the redundancy within ... 详细信息
来源: 评论
Pedestrian Attribute Recognition Using Hierarchical Transformers  27th
Pedestrian Attribute Recognition Using Hierarchical Transfor...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Lohani, Lalit Thakare, Kamalakar Vijay Nayak, Kamakshya Prasad Dogra, Debi Prosad Choi, Heeseung Jung, Hyungjoo Kim, Ig-Jae Bhubaneswar752050 India Artificial Intelligence and Robotics Institute Korea Institute of Science and Technology Seoul02792 Korea Republic of Yonsei-KIST Convergence Research Institute Yonsei University Seoul03722 Korea Republic of
The goal of pedestrian attribute recognition (PAR) is to detect and classify a wide range of pedestrian attributes, such as gender, carrying objects, clothing styles, body postures, age groups, and more... 详细信息
来源: 评论
KernelDNA: Dynamic Kernel Sharing via Decoupled Naive Adapters
arXiv
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arXiv 2025年
作者: Huang, Haiduo Zhang, Yadong Ren, Pengju Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University China
Dynamic convolution enhances model capacity by adaptively combining multiple kernels, yet faces critical tradeoffs: prior works either (1) incur significant parameter overhead by scaling kernel numbers linearly, (2) c... 详细信息
来源: 评论
Transforming Classification with Federated Learning on Blockchain: A Unique Model Integration Approach
Transforming Classification with Federated Learning on Block...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Hao, Zhihao Zhang, Bob Li, Haisheng School of Computer Science and Artificial Intelligence Beijing Technology and Business University Beijing China Dept. of Computer and Information Science Faculty of Science and Technology University of Macau Taipa China Centre for Artificial Intelligence and Robotics Institute of Collaborative Innovation University of Macau Taipa China
The need for robust machine learning models is particularly evident in the realm of biological pattern recognition. Traditional centralized methods often struggle, as they frequently depend on large datasets that are ... 详细信息
来源: 评论
REGNav: Room Expert Guided Image-Goal Navigation
arXiv
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arXiv 2025年
作者: Li, Pengna Wu, Kangyi Fu, Jingwen Zhou, Sanping Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University China
Image-goal navigation aims to steer an agent towards the goal location specified by an image. Most prior methods tackle this task by learning a navigation policy, which extracts visual features of goal and observation... 详细信息
来源: 评论
ICPR 2024 Competition on Multilingual Claim-Span Identification  27th
ICPR 2024 Competition on Multilingual Claim-Span Identifica...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Poddar, Soham Paul, Biswajit Basu, Moumita Ghosh, Saptarshi Indian Institute of Technology Kharagpur Kharagpur721302 India Centre for Artificial Intelligence and Robotics DRDO Bangalore560093 India NSHM Institute of Computing and Analytics NSHM Knowledge Campus Kolkata700053 India
A lot of claims are made in social media posts, which may contain misinformation or fake news. Hence, it is crucial to identify claims as a first step towards claim verification. Given the huge number of social media ... 详细信息
来源: 评论
Data-Driven Tracking Control of a Cushion Robot with Safe Autonomous Motion Considering Human-Machine Interaction Environment
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Journal of Dynamic Systems, Measurement and Control 2025年 第4期147卷 041003页
作者: Sun, Ping Shan, Rui Chang, Hongbin Wang, Shuoyu School of Artificial Intelligence Shenyang University of Technology Shenyang110870 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110169 China Department of Intelligent Mechanical Systems Engineering Kochi University of Technology Kochi7828502 Japan
This study proposes a data-driven safety controller with velocity constraints for a cushion robot. We constructed a mathematical description of the human-machine interaction environment by decomposing the generalized ... 详细信息
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PromptTA: Prompt-driven Text Adapter for Source-free Domain Generalization
PromptTA: Prompt-driven Text Adapter for Source-free Domain ...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Haoran Zhang Shuanghao Bai Wanqi Zhou Jingwen Fu Badong Chen Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Xi’an China
Source-free domain generalization (SFDG) tackles the challenge of adapting models to unseen target domains without access to source domain data. To deal with this challenging task, recent advances in SFDG have primari... 详细信息
来源: 评论