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检索条件"机构=Key Laboratory of Image and Graphics Intelligent Processing"
1718 条 记 录,以下是401-410 订阅
排序:
Disentangling Spatial and Temporal Learning for Efficient image-to-Video Transfer Learning
arXiv
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arXiv 2023年
作者: Qing, Zhiwu Zhang, Shiwei Huang, Ziyuan Zhang, Yingya Gao, Changxin Zhao, Deli Sang, Nong Key Laboratory of Image Processing Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology China Alibaba Group China ARC National University of Singapore Singapore
Recently, large-scale pre-trained language-image models like CLIP have shown extraordinary capabilities for understanding spatial contents, but naively transferring such models to video recognition still suffers from ... 详细信息
来源: 评论
VideoLCM: Video Latent Consistency Model
arXiv
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arXiv 2023年
作者: Wang, Xiang Zhang, Shiwei Zhang, Han Liu, Yu Zhang, Yingya Gao, Changxin Sang, Nong Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology China Alibaba Group China Shanghai Jiao Tong University China
Consistency models have demonstrated powerful capability in efficient image generation and allowed synthesis within a few sampling steps, alleviating the high computational cost in diffusion models. However, the consi...
来源: 评论
3D Cinemagraphy from a Single image
3D Cinemagraphy from a Single Image
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Xingyi Li Zhiguo Cao Huiqiang Sun Jianming Zhang Ke Xian Guosheng Lin Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology S-Lab Nanyang Technological University Adobe Research
We present 3D Cinemagraphy, a new technique that mar-ries 2D image animation with 3D photography. Given a single still image as input, our goal is to generate a video that contains both visual content animation and ca...
来源: 评论
A Physiological Signal Emotion Recognition Method Based on Domain Adaptation and Incremental Learning
A Physiological Signal Emotion Recognition Method Based on D...
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Cyber-Energy Systems and intelligent Energy (ICCSIE), International Conference on
作者: Junnan Li Xiaoping Wang the School of Artificial Intelligence and Automation and the Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan P. R. China
Temporal concept shift (TCS) is an unavoidable problem in physiological signal-based emotion recognition tasks, i.e., the data distribution of physiological signals is constantly changing over time, which gradually de...
来源: 评论
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIs
arXiv
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arXiv 2024年
作者: Chen, Xiaoqing Wang, Ziwei Wu, Dongrui The Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen China
Machine learning has achieved great success in electroencephalogram (EEG) based brain-computer interfaces (BCIs). Most existing BCI studies focused on improving the decoding accuracy, with only a few considering the a... 详细信息
来源: 评论
A novel method of constructing high-dimensional digital chaotic systems on finite-state automata
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Chinese Physics B 2020年 第9期29卷 233-243页
作者: Jun Zheng Han-Ping Hu School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Image Information Processing and Intelligent Control Ministry of EducationWuhan 430074China
When chaotic systems are implemented on finite precision machines, it will lead to the problem of dynamical degradation. Aiming at this problem, most previous related works have been proposed to improve the dynamical ... 详细信息
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Fast Candidate Region Extraction for SAR Ship Target  37
Fast Candidate Region Extraction for SAR Ship Target
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37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022
作者: Zhang, Panpan Luo, Haibo Xu, Zheng He, Miao Shenyang Institute of Automation Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Opto-Electronic Information Processing Shenyang110016 China The Key Lab of Image Understanding and Computer Vision Shenyang110016 China
At present, deep learning technology is widely used in ship target detection in synthetic aperture radar (SAR) images. However, high-resolution remote sensing SAR images cover a larger area and have larger image sizes... 详细信息
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Focusing on diacritics to improve Vietnamese scene text detection
Focusing on diacritics to improve Vietnamese scene text dete...
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International Joint Conference on Neural Networks (IJCNN)
作者: Wenhui Huang Shaoliang Shi Yimin Wen Guilin University of Electronic Technology Guilin China China Academy of Science and Technology Development GuangXi Branch Nanning China Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China
Scene text detection is usually recognized as one of the fundamental challenges in computer vision and robotics. While the detection of scene text for English and Chinese has achieved great progress, Vietnamese scene ... 详细信息
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Lifetime Extension Control for Multi-Stack SOFC System with Inconsistent Stacks
Lifetime Extension Control for Multi-Stack SOFC System with ...
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第42届中国控制会议
作者: Zexin Li Guoqiang Liu Wei Zhao Xi Li School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control of Education MinistryHuazhong University of Science & Technology Shenzhen Huazhong University of Science and Technology Research Institute
The multi-stack fuel cell system(MFCS) is an important basis for the application of solid oxide fuel cell(SOFC)technology to large-scale power generation *** can provide higher power,longer lifetime and better *** fro...
来源: 评论
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition
arXiv
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arXiv 2023年
作者: Wang, Xiang Zhang, Shiwei Qing, Zhiwu Zuo, Zhengrong Gao, Changxin Jin, Rong Sang, Nong Key Laboratory of Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology China Alibaba Group China Twitter United States
Few-shot action recognition is a challenging but practical problem aiming to learn a model that can be easily adapted to identify new action categories with only a few labeled samples. Recent attempts mainly focus on ... 详细信息
来源: 评论