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检索条件"任意字段=Conference on Visual Communications and Image Processing"
3470 条 记 录,以下是491-500 订阅
排序:
An Experimental Study of a Landmine Detection Robot
An Experimental Study of a Landmine Detection Robot
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communications and Computer Science (InCCCS), International conference on
作者: Subhradip Mukherjee Eshwari M. Thilagaraj Hardik Gururaj Manish Rajpurohit Electronics and communication Department MVJ College of Engineering Bangalore India
A landmine detection robot's objective is to cover as much ground as it can display landmines and map the remaining region with millimeter accuracy on a visual map. The land mine detecting robot prototype model pr... 详细信息
来源: 评论
Scenedoor: An Environmental Backdoor Attack for Face Recognition
Scenedoor: An Environmental Backdoor Attack for Face Recogni...
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IEEE visual communications and image processing (VCIP)
作者: Ruofei Wang Ziyuan Luo Haoliang Li Renjie Wan Department of Computer Science Hong Kong Baptist University Department of Electrical Engineering City University of Hong Kong
Face recognition is often used for biometric validation, which has become a significant technique in our society. Due to its sensitive applications, security vulnerabilities posed by backdoor attacks have attracted co... 详细信息
来源: 评论
Robust image Watermarking Based on Texture Guidance and Dynamic Multi-Spectrum Attention
Robust Image Watermarking Based on Texture Guidance and Dyna...
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International conference on Wireless communications and Signal processing (WCSP)
作者: Fengting Yang Weikang Xue Honglong Cao Jianling Hu School of Electronic and Information Engineering Soochow University Suzhou China Wuxi University Wuxi China
Tracking image sources and verifying copyright information is crucial in digital media communication. Digital image watermarking technology, widely used for copyright protection and source tracking, faces challenges i... 详细信息
来源: 评论
Towards Validating Face Editing Ability in Generative Models
Towards Validating Face Editing Ability in Generative Models
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IEEE visual communications and image processing (VCIP)
作者: Dai-Jie Wu Pin-Yen Chiu Chih-Yu Wang Jun-Cheng Chen Academia Sinica Research Center for Information Technology Innovation
Face editing has recently blossomed into a highly active and significant domain, impacting numerous applications from entertainment to security. Despite its rapid growth, the field still faces challenges in establishi... 详细信息
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Federated Contrastive Domain Adaptation for Category-inconsistent Object Detection
Federated Contrastive Domain Adaptation for Category-inconsi...
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IEEE visual communications and image processing (VCIP)
作者: Wei-Yu Chen Peggy Joy Lu Vincent Shin-Mu Tseng Department of Computer Science National Center for High-Performance Computing (NCHC) National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Computer Science National Chung Cheng University Chiayi Taiwan Department of Computer Science National Yang Ming Chiao Tung University Hsinchu Taiwan
To obtain diverse scenarios for collaboratively training a more generalized object detector, the multi-source domain adaptive object detection has been proposed. However, such scenario faces challenges related to data... 详细信息
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Faster and Finer Pose Estimation for Object Pool in a Single RGB image
Faster and Finer Pose Estimation for Object Pool in a Single...
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IEEE International conference on visual communications and image processing (VCIP) - visual communications in the Era of AI and Limited Resources
作者: Aing, Lee Lie, Wen-Nung Chiang, Jui-Chiu Natl Chung Cheng Univ CCU Dept Elect Engn Chiayi Taiwan Natl Chung Cheng Univ CCU Ctr Innovat Res Aging Soc CIRAS Chiayi Taiwan Natl Chung Cheng Univ CCU Adv Inst Mfg High Tech Innovat AIM HI Chiayi Taiwan
Predicting/estimating the 6DoF pose parameters for multi-instance objects accurately in a fast manner is an important issue in robotic and computer vision. Even though some bottom-up methods have been proposed to be a... 详细信息
来源: 评论
visual Analysis of Linked Musicological Data with the musiXplora  15th
Visual Analysis of Linked Musicological Data with the musiXp...
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15th International Joint conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) / 15th International conference on Computer Vision Theory and Applications (VISAPP)
作者: Khulusi, Richard Focht, Josef Jaenicke, Stefan Univ Leipzig Image & Signal Proc Grp Leipzig Germany Univ Leipzig Mus Instrument Museum Leipzig Germany Univ Southern Denmark Dept Math & Comp Sci Odense Denmark
While digitizing data is the first major step for many digital humanities projects, the visual analysis is of high value for humanists, as it brings a wide range of possibilities to work with data. While rather tradit... 详细信息
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Signaling of object masks with the assistance of the object mask information SEI message
Signaling of object masks with the assistance of the object ...
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IEEE visual communications and image processing (VCIP)
作者: Jie Chen Zixiang Zhang Yan Ye Shurun Wang Damo Academy Alibaba Group Beijing China Damo Academy Alibaba Group Sunnyvale USA Damo Academy Alibaba Group Beijing USA
To reduce the decoder burden of performing the video analysis tasks and increase the accuracy of the task results, an effective solution is to perform the video analysis task in the encoder side and send the results t... 详细信息
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Research on Some Key Technologies of Deep Learning in the Field of Computer Vision
Research on Some Key Technologies of Deep Learning in the Fi...
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Innovation in Technology (INOCON), IEEE International conference for
作者: Yirong Mao Rui Mao Yunnan Communications Vocational and Technical College China
The role of computer vision technology in the field of artificial intelligence development is very important, but there is a problem of poor application effect of key technologies. Traditional neural network algorithm...
来源: 评论
Tell Codec What Worth Compressing: Semantically Disentangled image Coding for Machine with LMMs
Tell Codec What Worth Compressing: Semantically Disentangled...
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IEEE visual communications and image processing (VCIP)
作者: Jinming Liu Yuntao Wei Junyan Lin Shengyang Zhao Heming Sun Zhibo Chen Wenjun Zeng Xin Jin Shanghai Jiao Tong University Ningbo Institute of Digital Twin Eastern Institute of Technology Ningbo China Yokohama National University University of Science and Technology of China
We present a new image compression paradigm to achieve "intelligently coding for machine" by cleverly leveraging the common sense of Large Multimodal Models (LMMs). We are motivated by the evidence that larg... 详细信息
来源: 评论