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检索条件"机构=Image Processing and Image Communications Key Lab"
593 条 记 录,以下是441-450 订阅
排序:
Exploring Interactive Semantic Alignment for Efficient HOI Detection with Vision-language Model
arXiv
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arXiv 2024年
作者: Dong, Jihao Pan, Renjie Yang, Hua Institute of Image Communication and Network Engineering Shanghai Jiao Tong University China Shanghai Key Lab of Digital Media Processing and Transmission China China MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University China
Human-Object Interaction (HOI) detection aims to localize human-object pairs and comprehend their interactions. Recently, two-stage transformer-based methods have demonstrated competitive performance. However, these m... 详细信息
来源: 评论
Adaptive and Collaborative Multi-scale Alignment for Text-Based Person Search
Adaptive and Collaborative Multi-scale Alignment for Text-Ba...
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IEEE Visual communications and image processing (VCIP)
作者: Xinxin Yang Renjie Pan Hua Yang Shanghai Key Lab of Digital Media Processing and Transmission Institute of Image Communication and Network Engineering Shanghai Jiao Tong University Shanghai China China MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University China
Text-to-image person search is challenging due to the cross-scale correspondences and information inequality between modalities. Specifically, images and text are complexly linked at different scales and images are us...
来源: 评论
Bacterial Foraging Based Edge Detection for Cell image Segmentation
Bacterial Foraging Based Edge Detection for Cell Image Segme...
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society
作者: Yongsheng Pan Tao Zhou Yong Xia the Shaanxi Key Lab of Speech & Image Information Processing (SAIIP) School of Computer Science Northwestern Polytechnical University Xi'an 710072 China the School of Science Ningxia Medical University Yinchuan 750004 China
Edge detection is the most popular and common choices for cell image segmentation, in which local searching strategies are commonly used. In spite of their computational efficiency, traditional edge detectors, however... 详细信息
来源: 评论
3D Cinemagraphy from a Single image
arXiv
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arXiv 2023年
作者: Li, Xingyi Cao, Zhiguo Sun, Huiqiang Zhang, Jianming Xian, Ke Lin, Guosheng Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology China Adobe Research S-Lab Nanyang Technological University Singapore
We present 3D Cinemagraphy, a new technique that marries 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 cam... 详细信息
来源: 评论
Towards cross-granularity few-shot learning: Coarse-to-fine pseudo-labeling with visual-semantic meta-embedding
arXiv
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arXiv 2020年
作者: Yang, Jinhai Yang, Hua Chen, Lin Institute of Image Communication and Network Engineering Shanghai Jiao Tong University China Shanghai Key Lab of Digital Media Processing and Transmission Shanghai China MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University China
Few-shot learning aims at rapidly adapting to novel categories with only a handful of samples at test time, which has been predominantly tackled with the idea of meta-learning. However, meta-learning approaches essent... 详细信息
来源: 评论
Intra-Guided Dual-Energy Material Decomposition Method for Dual-Source CBCT Systems  46
Intra-Guided Dual-Energy Material Decomposition Method for D...
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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024
作者: Zhong, Xinyun Lyu, Tianling Wu, Zhan Gao, Wei Xi, Yan Zhao, Wei Zhu, Wentao Chen, Yang Zhejiang Lab Hangzhou China First-Imaging Tech. Shanghai China Beihang University Beijing China Southeast University School of Computer Science and Engineering Laboratory of Image Science and Technology Nanjing China Southeast University Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications Nanjing China
Dual-energy CBCT imaging plays a crucial role in advanced imaging applications due to its ability to quantify material components. Although there are multiple established systems for dual-energy imaging, they often co... 详细信息
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An Active Landing Recovery Method for Quadrotor UAV: Localization, Tracking and Buffering Landing
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IFAC-PapersOnLine 2023年 第2期56卷 3366-3372页
作者: Yongkang Xu Zhihua Chen Shoukun Wang Junzheng Wang National Key Lab of Autonomous Intelligent Unmanned Systems Beijing Institute of Technology Beijing CO 100081 P.R.China Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition and MOE Key Lab of Nondestructive Testing Technology School of Information Engineering Nanchang Hangkong University Nanchang CO 330063 P.R. China
This paper proposes a principle of fully autonomous ground mobile landing recovery of Unmanned Aerial Vehicles (UAV) for the problems of relatively fixed landing point, passive recovery, poor flexibility, and environm... 详细信息
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Transformer-based Lossless Compression of Aurora Spectral images: A Spatial-Temporal-Spectral Joint Approach
Transformer-based Lossless Compression of Aurora Spectral Im...
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International Conference on Signal processing Proceedings (ICSP)
作者: Xinlong Cao Jiaojiao Li Yuanqing Li Jiapeng Yan Zhenxing Zheng School of Communications and Information Engineering & School of Artificial Intelligence Xi'an University of Posts & Telecommunications Xi'an China Xi’an Key Laboratory of Image Processing Technology and Applications for Public Security Xi'an China International Joint Research Center for Wireless Communication and Information Processing Technology of Shaanxi Province Xi'an China
Aurora spectral image lossless compression has seen significant advancements in recent years. However, most compression algorithms are based on traditional image compression techniques, focusing solely on spectral and... 详细信息
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Fast Low-parameter Video Activity Localization in Collaborative Learning Environments
arXiv
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arXiv 2024年
作者: Jatla, Venkatesh Teeparthi, Sravani Egala, Ugesh Pattichis, Sylvia Celedón Pattichis, Marios S. Image and Video Processing and Communications Lab Dept. of Electrical and Computer Engineering University of New Mexico AlbuquerqueNM87131 United States Department of Curriculum and Instruction The University of Texas at Austin AustinTX78712-1293 United States
Research on video activity detection has primarily focused on identifying well-defined human activities in short video segments. The majority of the research on video activity recognition is focused on the development... 详细信息
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RGB-D based action recognition with light-weight 3D convolutional networks
arXiv
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arXiv 2018年
作者: Zhang, Haokui Li, Ying Wang, Peng Liu, Yu Shen, Chunhua Shaanxi Provincial Key Lab of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi’an710129 China School of Computer Science University of Adelaide AdelaideSA5005 Australia
Different from RGB videos, depth data in RGB-D videos provide key complementary information for tristimulus visual data which potentially could achieve accuracy improvement for action recognition. However, most of the... 详细信息
来源: 评论