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检索条件"机构=Key Lab of Intelligent Information Processing and Advanced Computing Research Lab"
965 条 记 录,以下是301-310 订阅
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Recognizing Multiple Text Sequences from an Image by Pure End-to-End Learning
Recognizing Multiple Text Sequences from an Image by Pure En...
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International Conference on Pattern Recognition
作者: Zhenlong Xu Shuigeng Zhou Fan Bai Zhanzhan Cheng Yi Niu Shiliang Pu Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University Shanghai China Hikvision Research Institute China
We address a challenging problem: recognizing multiple text sequences from an image by pure end-to-end learning. It is twofold: 1) Multiple text sequences recognition. Each image may contain multiple text sequences of... 详细信息
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Tiny noise, big mistakes: adversarial perturbations induce errors in brain–computer interface spellers
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National Science Review 2021年 第4期8卷 78-90页
作者: Xiao Zhang Dongrui Wu Lieyun Ding Hanbin Luo Chin-Teng Lin Tzyy-Ping Jung Ricardo Chavarriaga Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of Science and Technology School of Civil Engineering and Mechanics Huazhong University of Science and Technology Centre of Artificial Intelligence Faculty of Engineering and Information Technology University of Technology Sydney Swartz Center for Computational Neuroscience Institute for Neural ComputationUniversity of California San Diego Center for Advanced Neurological Engineering Institute of Engineering in Medicine University of California San Diego ZHAW Data Lab Zürich University of Applied Sciences
An electroencephalogram(EEG)-based brain–computer interface(BCI) speller allows a user to input text to a computer by thought. It is particularly useful to severely disabled individuals, e.g. amyotrophic lateral scle... 详细信息
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OTKGE: multi-modal knowledge graph embeddings via optimal transport  22
OTKGE: multi-modal knowledge graph embeddings via optimal tr...
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Proceedings of the 36th International Conference on Neural information processing Systems
作者: Zongsheng Cao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang SKLOIS Institute of Information Engineering CAS and School of Cyber Security University of Chinese Academy of Sciences Key Lab. of Intelligent Information Processing Institute of Computing Tech. CAS School of Computer Science and Tech. University of Chinese Academy of Sciences Alibaba Group School of Cyber Science and Tech. Shenzhen Campus Sun Yat-sen University and SKLOIS Institute of Information Engineering CAS School of Computer Science and Tech. University of Chinese Academy of Sciences and Key Lab. of Intelligent Information Processing Institute of Computing Tech. CAS and BDKM University of Chinese Academy of Sciences and Peng Cheng Laboratory
Multi-modal knowledge graph embeddings (KGE) have caught more and more attention in learning representations of entities and relations for link prediction tasks. Different from previous uni-modal KGE approaches, multi...
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Direct Participant Recruitment Strategy in Sparse Mobile Crowdsensing
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Jisuanji Xuebao/Chinese Journal of Computers 2022年 第7期45卷 1539-1556页
作者: Tu, Chun-Yu Yu, Zhi-Yong Han, Lei Zhu, Wei-Ping Huang, Fang-Wan Guo, Wen-Zhong Wang, Le-Ye College of Mathematics and Computer Science Fuzhou University Fuzhou350108 China Department of Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350108 China School of Computer Science Northwestern Polytechnical University Xi'an710072 China Key Lab of High Confidence Software Technologies Peking University Beijing100871 China School of Computer Science Peking University Beijing100871 China
Sparse Mobile Crowdsensing (Sparse MCS) selects a small part of sub-areas for data collection and infers the data of other sub-areas from the collected data. Compared with Mobile Crowdsensing (MCS) that does not use d... 详细信息
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DEEPACC:Automate Chromosome Classification Based On Metaphase Images Using Deep Learning Framework Fused With Priori Knowledge
DEEPACC:Automate Chromosome Classification Based On Metaphas...
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IEEE International Symposium on Biomedical Imaging
作者: Li Xiao Chunlong Luo Ningbo HuaMei Hospital University of the Chinese Academy of Sciences (UCAS) Advanced Computer Research Center Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science
Chromosome classification is an important but difficult and tedious task in karyotyping. Previous methods only classify manually segmented single chromosome, which is far from clinical practice. In this work, we propo... 详细信息
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A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking
arXiv
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arXiv 2022年
作者: Yang, Yuting Lei, Wenqiang Huang, Pei Cao, Juan Li, Jintao Chua, Tat-Seng University of Chinese Academy of Sciences Beijing China Sichuan University Sichuan China Stanford University California United States Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China National University of Singapore Singapore
Dialogue state tracking (DST) module is an important component for task-oriented dialog systems to understand users' goals and needs. Collecting dialogue state labels including slots and values can be costly, espe... 详细信息
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M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
arXiv
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arXiv 2021年
作者: Wang, Junke Wu, Zuxuan Ouyang, Wenhao Han, Xintong Chen, Jingjing Lim, Ser-Nam Jiang, Yu-Gang Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University China Shanghai Collaborative Innovation Center on Intelligent Visual Computing China Huya Inc Meta AI
The widespread dissemination of Deepfakes demands effective approaches that can detect perceptually convincing forged images. In this paper, we aim to capture the subtle manipulation artifacts at different scales usin... 详细信息
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MMDSSE: Multi-client and Multi-keyword Dynamic Searchable Symmetric Encryption for Cloud Storage
MMDSSE: Multi-client and Multi-keyword Dynamic Searchable Sy...
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Annual Conference on Privacy, Security and Trust, PST
作者: Panyu Wu Zhenfu Cao Jiachen Shen Xiaolei Dong Yihao Yang Jun Zhou Liming Fang Zhe Liu Chunpeng Ge Chunhua Su Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China Research Center for Basic Theories of Intelligent Computing Research Institute of Basic Theories Zhejiang Lab Hangzhou China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Science and Technology on Parallel and Distributed Processing Laboratory (PDL) Changsha China Shandong University Jinan China University of Aizu Fukushima Japan
Since data outsourcing poses privacy concerns with data leakage, searchable symmetric encryption (SSE) has emerged as a powerful solution that enables clients to perform query operations on encrypted data while preser...
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research on Highly Anti-Humidity and Selective NO2 Detection Based on GaN/MoO3 N-N Heterojunction
SSRN
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SSRN 2024年
作者: Hong, Yutao Han, Dan Li, Donghui He, Xiuli Zhao, Li Wang, Weidong Li, Hongwei Sang, Shengbo Liang, Hua Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Electronic Information and Optical Engineering Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan030024 China State Key Laboratory of Transducer Technology Aerospace Information Research Institute Chinese Academy of Sciences Beijing100190 China Bioengineering Research Center Medical Innovation Research Division Chinese PLA General Hospital Beijing China Shanxi Academy of Medical Sciences China
Effective and accuratedetection of NO2 gas is crucial for protecting the environment and public health. In this work, balsam pear-like GaN/MoO3 porous nanosheets (GaN/MoO3) composites were synthesized by the in situ a... 详细信息
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A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement
arXiv
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arXiv 2022年
作者: Yang, Yuting Huang, Pei Cao, Juan Li, Jintao Lin, Yun Dong, Jin Song Ma, Feifei Zhang, Jian Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Beijing China National University of Singapore Singapore Laboratory of Parallel Software and Computational Science ISCAS Beijing China
Recent years have seen the wide application of NLP models in crucial areas such as finance, medical treatment, and news media, raising concerns of the model robustness and vulnerabilities. In this paper, we propose a ... 详细信息
来源: 评论