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检索条件"任意字段=IEEE Visual Communications and Image Processing Conference"
25554 条 记 录,以下是381-390 订阅
排序:
LIGHTING image/VIDEO STYLE TRANSFER METHODS BY ITERATIVE CHANNEL PRUNING  49
LIGHTING IMAGE/VIDEO STYLE TRANSFER METHODS BY ITERATIVE CHA...
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49th ieee International conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Wu, Kexin Tang, Fan Liu, Ning Deussen, Oliver Le, Thi-Ngoc-Hanh Dong, Weiming Lee, Tong-Yee Jilin Univ Jilin Jilin Peoples R China ICT CAS Beijing Peoples R China Midea Grp Beijiaozhen Peoples R China Univ Konstanz Constance Germany Natl Cheng Kung Univ Tainan Taiwan CASIA Beijing Peoples R China
Deploying style transfer methods on resource-constrained devices is challenging, which limits their real-world applicability. To tackle this issue, we propose using pruning techniques to accelerate various visual styl... 详细信息
来源: 评论
Cheque Information processing and Validation using Deep Learning  2
Cheque Information Processing and Validation using Deep Lear...
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2nd ieee Global conference on communications and Information Technologies, GCCIT 2024
作者: Suganthi, K. Shenoy, Darshan N. Vellore Institute of Technology School of Electronics Engineering Chennai600127 India
Understanding document images, such as invoices, is a difficult task. It necessitates reading the text as well as comprehending the document's general structure. Conventional techniques first extract text using Op... 详细信息
来源: 评论
Enhancing image Quality through Fractional Order Unsharp Masking with Particle Swarm Optimization  2
Enhancing Image Quality through Fractional Order Unsharp Mas...
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2nd ieee International conference on Networking and communications, ICNWC 2024
作者: Gamini, Sridevi Kamisetti, Kavya Sri Nallamilli, Priyanka Darisi, Sai Pavan Venkatapathi, Venkatesh Aditya Engineering College Dept. of ECE Surampalem India
This paper presents a novel approach to image enhancement using Fractional-Order Unsharp Masking (FOUM) combined with Particle Swarm Optimization (PSO). The proposed method aims to improve the quality of digital image... 详细信息
来源: 评论
An Approach for Enhancement of Low Contrast Gray Scale image Using Fuzzy Logic and Sigmoid Function  2
An Approach for Enhancement of Low Contrast Gray Scale Image...
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2nd ieee International conference on Device Intelligence, Computing and Communication Technologies, DICCT 2024
作者: Kumar, Abhishek Kumar, Sanjeev Sarala Birla University Department of Electronics & Communication Ranchi India
Contrast enhancement plays a pivotal role in image processing, particularly for improving the visual quality of images in various applications. This paper presents an approach for enhancing such images by employing a ... 详细信息
来源: 评论
Motor Focus: Fast Ego-Motion Prediction for Assistive visual Navigation  20
Motor Focus: Fast Ego-Motion Prediction for Assistive Visual...
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20th International conference on Body Sensor Networks
作者: Wang, Hao Qin, Jiayou Chen, Xiwen Bastola, Ashish Suchanek, John Gong, Zihao Razi, Abolfazl Clemson Univ Sch Comp Clemson SC 29634 USA Stevens Inst Technol Dept Elect & Comp Engn Hoboken NJ USA Tokai Univ Sch Cultural & Social Studies Tokai Ibaraki Japan
Assistive visual navigation systems for visually impaired individuals have become increasingly popular thanks to the rise of mobile computing. Most of these devices work by translating visual information into voice co... 详细信息
来源: 评论
IMPROVING GENERALIZATION IN FACIAL MANIPULATION DETECTION USING image NOISE RESIDUALS AND TEMPORAL FEATURES  30
IMPROVING GENERALIZATION IN FACIAL MANIPULATION DETECTION US...
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30th ieee International conference on image processing (ICIP)
作者: Atamna, Mehdi Tkachenko, Iuliia Miguet, Serge Univ Lyon 2 Univ Lyon UCBL Centrale LyonCNRSINSA LyonLIRISUMR5205 F-69676 Bron France
The high visual quality of modern deepfakes raises significant concerns about the trustworthiness of digital media and makes facial tampering detection more challenging. Although current deep learning-based deepfake d... 详细信息
来源: 评论
EFFECTIVE image TAMPERING LOCALIZATION VIA ENHANCED TRANSFORMER AND CO-ATTENTION FUSION  49
EFFECTIVE IMAGE TAMPERING LOCALIZATION VIA ENHANCED TRANSFOR...
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49th ieee International conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Guo, Kun Zhu, Haochen Cao, Gang Commun Univ China Sch Comp & Cyber Sci Beijing 100024 Peoples R China Commun Univ China State Key Lab Media Convergence & Commun Beijing 100024 Peoples R China
Powerful manipulation techniques have made digital image forgeries be easily created and widespread without leaving visual anomalies. The blind localization of tampered regions becomes quite significant for image fore... 详细信息
来源: 评论
EXPLOITING SELF-SUPERVISED CONSTRAINTS IN image SUPER-RESOLUTION
EXPLOITING SELF-SUPERVISED CONSTRAINTS IN IMAGE SUPER-RESOLU...
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ieee International conference on Multimedia and Expo (ICME)
作者: Wu, Gang Jiang, Junjun Jiang, Kui Liu, Xianming Harbin Inst Technol Fac Comp Harbin 150001 Peoples R China
Recent advances in self-supervised learning, predominantly studied in high-level visual tasks, have been explored in low-level image processing. This paper introduces a novel self-supervised constraint for single imag... 详细信息
来源: 评论
Optimizing Multimodal image Fusion: A Novel Approach with Nystrom Attention Mechanisms in Transformer Models
Optimizing Multimodal Image Fusion: A Novel Approach with Ny...
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2025 ieee International conference on Acoustics, Speech, and Signal processing, ICASSP 2025
作者: Zeng, Yuqin Wen, Ze Fan, Shuqian Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences Chongqing China Chongqing School University of Chinese Academy of Sciences Chongqing China Chongqing China
This work proposed a new model based on transformers for multimodal image fusion, with explicit attention paid to fusing infrared and visible images toward enhanced detail and information content. This method, which i... 详细信息
来源: 评论
LLIEFORMER: A LOW-LIGHT image ENHANCEMENT TRANSFORMER NETWORK WITH A DEGRADED RESTORATION MODEL  30
LLIEFORMER: A LOW-LIGHT IMAGE ENHANCEMENT TRANSFORMER NETWOR...
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30th ieee International conference on image processing (ICIP)
作者: Yi, Xunpeng Wang, Yuxuan Zhao, Yizhen Yan, Jia Zhang, Weixia Wuhan Univ Elect Informat Sch Wuhan Peoples R China Shanghai Jiao Tong Univ MoE Key Lab Artificial Intelligence Shanghai Peoples R China
Low-light image enhancement aims at improving human perception or the effectiveness of computer vision tasks of images taken in dark. The low-light images are usually seriously lack in visual information. To tackle th... 详细信息
来源: 评论