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检索条件"任意字段=2023 Asia Conference on Computer Vision, Image Processing and Pattern Recognition, CVIPPR 2023"
325 条 记 录,以下是171-180 订阅
排序:
Selective Bokeh Effect Transformation
Selective Bokeh Effect Transformation
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IEEE computer Society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Juewen Peng Zhiyu Pan Chengxin Liu Xianrui Luo Huiqiang Sun Liao Shen Ke Xian Zhiguo Cao 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
Bokeh effect transformation is a novel task in computer vision and computational photography. It aims to convert bokeh effects from one camera lens to another. To this end, we introduce a new concept of blur ratio, wh...
来源: 评论
Automated Detection of Refilling Stations in Industry Using Unsupervised Learning  32nd
Automated Detection of Refilling Stations in Industry Using ...
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32nd International conference on Flexible Automation and Intelligent Manufacturing
作者: Ribeiro, Jose Pinheiro, Rui Soares, Salviano Valente, Antonio Amorim, Vasco Filipe, Vitor Univ Tras Os Montes & Alto Douro UTAD Sch Sci & Technol P-5000801 Vila Real Portugal IEETA Inst Elect & Informat Engn Aveiro P-3810193 Aveiro Portugal INESC TEC INESC Tecnol & Ciencia P-4200465 Porto Portugal Univ Tras Os Montes & Alto Douro UTAD Incubadora Empresas Neocept Edificio P2Gabinete 16 P-5000081 Vila Real Portugal
The manual monitoring of refilling stations in industrial environments can lead to inefficiencies and errors, which can impact the overall performance of the production line. In this paper, we present an unsupervised ... 详细信息
来源: 评论
Learning to Exploit the Sequence-Specific Prior Knowledge for image processing Pipelines Optimization
Learning to Exploit the Sequence-Specific Prior Knowledge fo...
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conference on computer vision and pattern recognition (CVPR)
作者: Haina Qin Longfei Han Weihua Xiong Juan Wang Wentao Ma Bing Li Weiming Hu State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences School of Artificial Intelligence University of Chinese Academy of Sciences Beijing Technology and Business University Zeku Technology Shanghai
The hardware image signal processing (ISP) pipeline is the intermediate layer between the imaging sensor and the downstream application, processing the sensor signal into an RGB image. The ISP is less programmable and...
来源: 评论
Paint by Example: Exemplar-based image Editing with Diffusion Models
Paint by Example: Exemplar-based Image Editing with Diffusio...
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conference on computer vision and pattern recognition (CVPR)
作者: Binxin Yang Shuyang Gu Bo Zhang Ting Zhang Xuejin Chen Xiaoyan Sun Dong Chen Fang Wen University of Science and Technology of China Microsoft Research Asia
Language-guided image editing has achieved great success recently. In this paper, we investigate exemplar-guided image editing for more precise control. We achieve this goal by leveraging self-supervised training to d...
来源: 评论
Detection of Motion Vector-Based Stegomalware in Video Files  1
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International conference on computer vision and Machine Intelligence, CVMI 2022
作者: Nair, Sandra V. S. Arun Raj Kumar, P. Department of Computer Science and Engineering National Institute of Technology Calicut Kozhikode India
Cybercriminals are increasingly using steganography to launch attacks on devices. The cyberattack is more threatening as steganography hides the embedded malware, if any, making it harder to detect by various anti-vir... 详细信息
来源: 评论
ResFormer: Scaling ViTs with Multi-Resolution Training
ResFormer: Scaling ViTs with Multi-Resolution Training
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conference on computer vision and pattern recognition (CVPR)
作者: Rui Tian Zuxuan Wu Qi Dai Han Hu Yu Qiao Yu-Gang Jiang Shanghai Key Lab of Intell. Info. Processing School of CS Fudan University Shanghai Collaborative Innovation Center of Intelligent Visual Computing Microsoft Research Asia Shanghai AI Laboratory
vision Transformers (ViTs) have achieved overwhelming success, yet they suffer from vulnerable resolution scalability, i.e., the performance drops drastically when presented with input resolutions that are unseen duri...
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Dilated Convolutional Transformer for High-Quality image Deraining
Dilated Convolutional Transformer for High-Quality Image Der...
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IEEE computer Society conference on computer vision and pattern recognition Workshops (CVPRW)
作者: Yufeng Li Jiyang Lu Hongming Chen Xianhao Wu Xiang Chen College of Electronic and Information Engineering Shenyang Aerospace University School of Computer Science and Engineering Nanjing University of Science and Technology
Convolutional neural networks (CNNs) and Transformers have achieved significant success in image signal processing. However, little effort has been made to effectively combine the properties of these two architectures...
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MaskCLIP: Masked Self-Distillation Advances Contrastive Language-image Pretraining
MaskCLIP: Masked Self-Distillation Advances Contrastive Lang...
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conference on computer vision and pattern recognition (CVPR)
作者: Xiaoyi Dong Jianmin Bao Yinglin Zheng Ting Zhang Dongdong Chen Hao Yang Ming Zeng Weiming Zhang Lu Yuan Dong Chen Fang Wen Nenghai Yu University of Science and Technology of China Microsoft Research Asia Xiamen University Microsoft Cloud + AI
This paper presents a simple yet effective framework MaskCLIP, which incorporates a newly proposed masked self-distillation into contrastive language-image pretraining. The core idea of masked self-distillation is to ...
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SVFormer: Semi-supervised Video Transformer for Action recognition
SVFormer: Semi-supervised Video Transformer for Action Recog...
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conference on computer vision and pattern recognition (CVPR)
作者: Zhen Xing Qi Dai Han Hu Jingjing Chen Zuxuan Wu Yu-Gang Jiang Shanghai Key Lab of Intell. Info. Processing School of CS Fudan University Shanghai Collaborative Innovation Center of Intelligent Visual Computing Microsoft Research Asia
Semi-supervised action recognition is a challenging but critical task due to the high cost of video annotations. Existing approaches mainly use convolutional neural networks, yet current revolutionary vision transform...
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Unifying vision, Text, and Layout for Universal Document processing
Unifying Vision, Text, and Layout for Universal Document Pro...
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conference on computer vision and pattern recognition (CVPR)
作者: Zineng Tang Ziyi Yang Guoxin Wang Yuwei Fang Yang Liu Chenguang Zhu Michael Zeng Cha Zhang Mohit Bansal University of North Carolina at Chapel Hill Microsoft Azure Cognitive Services Research Microsoft Azure Visual Document Intelligence
We propose Universal Document processing (UDOP), a foundation Document AI model which unifies text, image, and layout modalities together with varied task formats, including document understanding and generation. UDOP...
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